Live broadcast management method and device, computer device, storage medium and program product

Abstract

This application relates to a live streaming management method, apparatus, computer device, storage medium, and program product. The method includes: displaying a live streaming management page, which includes a comparison information area and a live streaming plan creation entry point; the comparison information area includes comparison information between the current account and a reference account of the current account in at least one live streaming dimension; responding to inputting target live streaming parameters based on the creation entry point, displaying a live streaming plan creation page; the target live streaming parameters are used to determine at least the live streaming product suggestions and live streaming preview suggestions for the current account; the live streaming plan creation page includes at least a live streaming product management area and a live streaming preview management area, the live streaming product management area displays product addition guidance information determined based on the live streaming product suggestions and is used to add live streaming products, and the live streaming preview management area displays preview release guidance information determined based on the live streaming preview suggestions and is used to release live streaming previews. This can improve the accuracy of live streaming plans.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a live streaming management method, apparatus, computer equipment, storage medium, and program product. Background Technology

[0002] With the rapid development of e-commerce and online shopping, live-streaming e-commerce has become an important model for driving product sales. Hosts or buyers demonstrate, explain, and recommend products to viewers during live streams, achieving efficient sales conversion.

[0003] In the existing live-streaming e-commerce process, the host or buyer can create a live-streaming plan before the official start of the broadcast. In the live-streaming plan, they can manually select and add products for the live-streaming, such as selecting products based on their personal experience.

[0004] However, the traditional way of creating live streaming plans mainly relies on personal experience, resulting in low accuracy of the plans. Summary of the Invention

[0005] Therefore, it is necessary to provide a live streaming management method, device, computer equipment, computer-readable storage medium, and computer program product that can improve the accuracy of live streaming plans in response to the above-mentioned technical problems.

[0006] On one hand, this application provides a live streaming management method, comprising: displaying a live streaming management page, the live streaming management page including a comparison information area and a live streaming plan creation entry; wherein, the comparison information area includes comparison information between the current account and a reference account of the current account in at least one live streaming dimension, and live streaming suggestion information determined based on the comparison information; the live streaming suggestion information is used to recommend live streaming parameters for the current account's next live stream; in response to inputting target live streaming parameters based on the creation entry, displaying a live streaming plan creation page; wherein, the target live streaming parameters are at least used to determine the current account's live streaming product suggestions and live streaming preview suggestions, the live streaming plan creation page includes at least a live streaming product management area and a live streaming preview management area, the live streaming product management area displays product addition guidance information determined based on the live streaming product suggestions and is used to add live streaming products, the live streaming preview management area displays preview release guidance information determined based on the live streaming preview suggestions and is used to release live streaming previews.

[0007] On the other hand, this application also provides a live streaming management device, comprising: a first display module for displaying a live streaming management page, the live streaming management page including a comparison information area and a live streaming plan creation entry; wherein, the comparison information area includes comparison information between the current account and a reference account of the current account in at least one live streaming dimension, and live streaming suggestion information determined based on the comparison information; the live streaming suggestion information is used to recommend live streaming parameters for the current account's next live stream; a second display module for displaying a live streaming plan creation page in response to inputting target live streaming parameters based on the creation entry; wherein, the target live streaming parameters are at least used to determine the live streaming product suggestions and live streaming preview suggestions for the current account, the live streaming plan creation page includes at least a live streaming product management area and a live streaming preview management area, the live streaming product management area displays product addition guidance information determined based on the live streaming product suggestions and is used to add live streaming products, the live streaming preview management area displays preview release guidance information determined based on the live streaming preview suggestions and is used to release live streaming previews.

[0008] On the other hand, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described live broadcast management method.

[0009] On the other hand, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-described live streaming management method.

[0010] On the other hand, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps in the above-described live broadcast management method.

[0011] The aforementioned live streaming management method, device, computer equipment, computer-readable storage medium, and computer program product display a live streaming management page. The live streaming management page includes a comparison information area and a live streaming plan creation entry. The comparison information area includes comparison information between the current account and a reference account in at least one live streaming dimension, as well as live streaming suggestion information determined based on the comparison information. The live streaming suggestion information is used to recommend live streaming parameters for the current account's next live stream, thus intelligently providing guidance for editing the live streaming plan and making it more conducive to achieving the live streaming plan's goals. In response to inputting target live streaming parameters based on the creation entry, a live streaming plan creation page is displayed. The target live streaming parameters are used to determine at least the live streaming product suggestions and live streaming preview suggestions for the current account. The live streaming plan creation page includes at least a live streaming product management area and a live streaming preview management area. The live streaming product management area displays product addition guidance information determined based on the live streaming product suggestions and is used to add live streaming products. The live streaming preview management area displays preview release guidance information determined based on the live streaming preview suggestions and is used to release live streaming previews. Therefore, the product management area allows for more precise product selection, and the live streaming preview management area allows for more precise previews, improving the accuracy of the live streaming plan. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is an application environment diagram of a live streaming management method in one embodiment;

[0014] Figure 2 This is a flowchart illustrating a live streaming management method in one embodiment;

[0015] Figure 3 A schematic diagram of a live streaming plan creation page in one embodiment;

[0016] Figure 4 This is a schematic diagram illustrating how to view a strategy guide by creating a page through a live streaming plan in one embodiment;

[0017] Figure 5 A schematic diagram illustrating the creation of a live streaming schedule page in another embodiment;

[0018] Figure 6 This is a schematic diagram illustrating the input of broadcast start information through a live broadcast plan creation page in one embodiment.

[0019] Figure 7AThis is a schematic diagram illustrating the recommendations in one embodiment;

[0020] Figure 7B This is a schematic diagram illustrating the completion status of a suggestion in one embodiment;

[0021] Figure 8 This is a schematic diagram illustrating the updating of broadcast information in one embodiment;

[0022] Figure 9 This is a schematic diagram showing product recommendations in one embodiment;

[0023] Figure 10 This is an illustration of adding a product in one embodiment;

[0024] Figure 11 This is a schematic diagram of a live editing page in one embodiment;

[0025] Figure 12 This is a schematic diagram showing the product recommendations and product list in one embodiment;

[0026] Figure 13 This is a schematic diagram illustrating the adjustment strategy in one embodiment;

[0027] Figure 14 This is a schematic diagram illustrating the adjustment strategy in one embodiment;

[0028] Figure 15 This is a schematic diagram illustrating the creation of preview content in one embodiment;

[0029] Figure 16 A schematic diagram illustrating the creation of preview content in another embodiment;

[0030] Figure 17 This is a schematic diagram of a live editing page in another embodiment;

[0031] Figure 18 This is a schematic diagram illustrating the activation of the assistant in one embodiment;

[0032] Figure 19 This is a schematic diagram of the architecture of a social content platform in one embodiment;

[0033] Figure 20 This is a sequence diagram of the interaction between the client and the server in a social content platform in one embodiment;

[0034] Figure 21 This is a schematic diagram of the creation plan page in one embodiment;

[0035] Figure 22 This is a schematic diagram of the product selection assistant page in one embodiment;

[0036] Figure 23This is a schematic diagram of a marketing management page in one embodiment;

[0037] Figure 24 This is a structural block diagram of a live streaming management device in one embodiment;

[0038] Figure 25 This is an internal structural diagram of a computer device in one embodiment;

[0039] Figure 26 This is a diagram of the internal structure of a computer device in another embodiment. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0041] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0042] Furthermore, before describing the embodiments of this application, it should be noted that the term "in response to" as used herein refers to a state in which a corresponding event occurs or a condition is met. It is understood that the timing of the execution of a subsequent action performed in response to such an event or condition is not necessarily strongly correlated with the time when the event occurs or the condition is met. For example, in some cases, the subsequent action may be executed immediately upon the occurrence of the event or the fulfillment of the condition; while in other cases, the subsequent action may be executed some time after the occurrence of the event or the fulfillment of the condition. "Triggering operation" refers to an action performed by a user on a visual interface through clicking, dragging, swiping, or other interactive methods, which aims to initiate or activate a specific patent data display, analysis, or editing function. "Published content" refers to content pre-published by a user on a content platform, including text and image content, video content, live content, streaming content, linked content, etc.

[0043] The data involved in one or more embodiments of this application are all information and data authorized by the user or fully authorized by all parties. The statistics, use and processing of the relevant data shall comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points shall be provided for users to choose to authorize or refuse.

[0044] In the e-commerce live streaming ecosystem, merchants face diverse challenges at different stages and in different scenarios of live streaming operations. Newcomers often lack systematic operational knowledge and tools, struggling with fundamental aspects such as "what to stream" (product selection), "how to attract viewers" (traffic generation), and "how to retain viewers and drive purchases" (interaction and conversion), resulting in high barriers to entry and significant trial-and-error costs. Experienced merchants, especially during frequent live streams or major promotional periods, face operational efficiency bottlenecks and fluctuating results: manual product selection, content creation, and event planning are time-consuming and labor-intensive, making scalability difficult; static configurations such as live stream covers and interactive strategies cannot adapt to real-time changes in traffic and user feedback, leading to unstable click-through and conversion rates. Furthermore, offline merchants, such as those in local services, generally encounter core pain points when trying the "online traffic generation, in-store verification" live streaming model, including blindly choosing time slots, weak relevance between traffic-generating content and physical stores, and difficulty in effectively directing online traffic offline. These scattered pain points all point to one problem: existing live streaming tools and processes are fragmented, lacking a systematic solution that spans the entire process before, during, and after live streaming, and can be automated, personalized, and optimized based on data and intelligent technologies.

[0045] To address the aforementioned multi-scenario and multi-dimensional operational challenges, this application provides a live streaming management method, an account screening method, a live streaming dimension screening method, a content creation management method, and a marketing management method, which are described in detail in the following embodiments. The methods provided in this application can be applied to, for example... Figure 1 The application environment shown is illustrated. Terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or located on a cloud or other network server. In each method, pages and data are displayed via the terminal; the data on the page can be generated by the server.

[0046] The terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, and tablets. The server 104 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services.

[0047] In one exemplary embodiment, such as Figure 2 As shown, a live streaming management method is provided. This method can be executed by a terminal, or jointly by a terminal and a server. This method can be applied to... Figure 1 Taking terminal 102 as an example, the explanation includes the following steps:

[0048] Step 202: Display the live streaming management page, which includes a comparison information area and an entry point for creating live streaming plans.

[0049] The comparison information area includes comparison information between the current account and a reference account in at least one live streaming dimension, as well as live streaming suggestion information determined based on the comparison information. The live streaming suggestion information is used to recommend live streaming parameters for the current account's next live stream, i.e., it prompts the streamer on how to input the live streaming parameters for the next live stream. When creating a live streaming plan, the live streaming parameters generated based on the live streaming suggestion information can be pre-filled, and the current account can modify the live streaming parameters to obtain the target live streaming parameters.

[0050] The current account can be any account on the social content platform with permissions to livestream, create content, and create livestream plans. This account can represent a content creator conducting livestream e-commerce on the social content platform, such as a streamer account or a buyer account. The current account can also be a merchant's account on a map platform or e-commerce platform. The social content platform must at least provide social and content publishing functions.

[0051] A reference account can be understood as a benchmark account, such as representing a benchmark buyer. The live stream management page supports switching reference accounts. After switching, the comparison information is automatically updated, and during the creation of subsequent live stream plans, the server can use an AI model to generate new suggestions based on the switched reference account.

[0052] In one exemplary embodiment, the reference account is determined based on any of the following:

[0053] The first item: Select multiple first candidate accounts from multiple accounts with the same tags of the current account, determine the reference account from multiple first candidate accounts, the first candidate account has a greater amount of live streaming resources obtained than the current account in the first historical period, and the relative difference between the first candidate account and the current account in the amount of live streaming resources obtained in the first historical period is within the range of difference values.

[0054] Among them, "accounts with consistent tags" refers to accounts with the same account tags as the current account, such as accounts in the same market segment. "Livestream resource acquisition volume" refers to the amount of resources acquired through livestreaming or in a livestreaming scenario, such as Gross Merchandise Volume (GMV) or Direct GMV (Direct GMV, which is the transaction amount in a livestreaming scenario). "Livestream resource acquisition volume" is the amount of livestream resources acquired within a certain period, such as the amount of resources acquired through livestreaming or in a livestreaming scenario last month.

[0055] The amount of live streaming resources acquired can be represented as GMV (Gross Merchandise Volume). The relative difference can be a percentage, for example, Relative Difference = (Live Streaming Resource Acquisition 1 - Live Streaming Resource Acquisition 2) / Live Streaming Resource Acquisition 2, where Live Streaming Resource Acquisition 1 is the amount of live streaming resources acquired by the first candidate account within the first historical time period, and Live Streaming Resource Acquisition 2 is the amount of live streaming resources acquired by the current account within the first historical time period. The relative difference must fall within a range; for example, if the range is 20% to 80%, then 20% ≤ Relative Difference ≤ 80%.

[0056] or,

[0057] The second item: Select multiple second candidate accounts from multiple accounts with the same tags of the current account, determine the reference account from multiple second candidate accounts, the second candidate account has a greater amount of live streaming resources obtained than the current account in the second historical period, and the second candidate account has at least one live streaming product in the second historical period that meets the threshold of the total amount of resources obtained for the product, and the second historical period is longer than the first historical period.

[0058] The acquisition threshold can be set according to actual needs, such as for filtering best-selling products. If the total acquisition volume of a live-streamed product is greater than or equal to the acquisition threshold, it is considered a best-selling product. The total acquisition volume of a live-streamed product can be understood as the total sales revenue of the live-streamed product. For example, the second historical period is only 90 days, and the first historical period is the last 30 days. Accounts with consistent tags have the same account type as the current account, such as both being celebrity accounts or both being vertical category accounts.

[0059] or,

[0060] The third step: Determine the content similarity between the current account and each account in the first account set. Select a sub-account set from the first account set in descending order of content similarity. From the sub-account set, select reference accounts from multiple third candidate accounts that have a greater amount of live streaming resources obtained than the current account in the third historical period. The accounts in the first account set are inconsistent with the current account in terms of account tags. For example, the accounts in the first account set and the current account are cross-track accounts.

[0061] or,

[0062] The fourth step: Determine the content similarity between the current account and each account in the second account set. Select multiple fourth candidate accounts from the second account set in descending order of content similarity. Determine reference accounts from the multiple fourth candidate accounts based on the amount of live streaming resources obtained during the fourth historical period. The second account set includes accounts that are consistent with and inconsistent with the current account in terms of account tags.

[0063] The second set of accounts can be all accounts on the social content platform or all accounts of the same type as the current account.

[0064] For example, the process of determining the reference account can be performed by the server. The first to fourth items can have different priorities, with the priorities decreasing sequentially. The server can execute the first to fourth items in order of priority. When a preset number of first / second / third / fourth candidate accounts are obtained in any of the executed items, execution stops. Then, a reference account is selected from the first / second / third / fourth candidate accounts. Taking the first item as an example, if the preset number is 3, then after obtaining 3 first candidate accounts, the first candidate accounts can be ranked according to the amount of live streaming resources obtained, and the first candidate account corresponding to the median amount of live streaming resources obtained is used as the reference account.

[0065] This embodiment provides multiple methods for determining reference accounts, improving the flexibility and accuracy of reference account determination.

[0066] In one exemplary embodiment, an account filtering method applied to a live streaming management method is provided, the account filtering method including:

[0067] Determine the account tags for the current account, and then determine the set of similar accounts from the account set.

[0068] Multiple search strategies are executed in order of execution priority until a reference account for the current account is found. Each search strategy is used to find a reference account for the current account, and each search strategy has a different execution priority.

[0069] The search strategy includes at least one of a first search strategy and a second search strategy. The first search strategy is to find reference accounts based on account tags and a set of similar accounts, and the second search strategy is to find reference accounts based on account tags and a set of accounts. The accounts in the account set have the same account type as the current account.

[0070] For example, the multiple search strategies also include a third search strategy. The execution priority of the first search strategy, the second search strategy, and the third search strategy decreases in that order. The third search strategy is to select a reference account from the tag-consistent accounts of the current account based on the amount of live stream resources obtained during the reference time period. For example, the tag-consistent account with the largest amount of live stream resources obtained during the reference time period will be used as the reference account.

[0071] For example, the execution process of the first search strategy includes: searching for similar accounts with the same tags as the current account from the set of similar accounts; determining a first relative difference value in the amount of live streaming resources obtained by similar accounts with the same tags relative to the current account within a reference time period; and searching for a reference account of the current account from the similar accounts with the same tags based on the first relative difference value.

[0072] Among them, the account with the largest live stream resource acquisition amount that falls within the preset ratio range and has the highest relative difference value can be used as the reference account. The preset ratio range can be set according to actual needs, for example, it can be (20%, 100%). (Live stream resource acquisition amount of similar accounts - Live stream resource acquisition amount of the current account) / Live stream resource acquisition amount of the current account Preset ratio range. For example, 20% < (GMV1 - GMV2) / GMV2 < 100%. Where GMV1 is the amount of live streaming resources obtained by similar accounts with the same tags, and GMV2 is the amount of live streaming resources obtained by the current account.

[0073] For example, if there is only one account with the same or similar tags, that account will be used as the reference account. If there are at least two accounts with the same or similar tags, the one with the largest number of live streaming resources among the at least two accounts with the same or similar tags will be used as the reference account.

[0074] For example, if the current account has never broadcasted, has the largest amount of live streaming resources in the target product category, or is the number one account in the market (e.g., the number one buyer in the market), then there is no need to generate live streaming comparison information. Therefore, there is no need to display live streaming comparison information on the target interactive page.

[0075] The second search strategy includes: searching for accounts with the same tags as the current account from the account set; determining the second relative difference value of the number of live streaming resources obtained by the accounts with the same tags relative to the current account within the reference time period; and searching for the reference account of the current account from the accounts with the same tags based on the second relative difference value.

[0076] Among them, the account with the second relative difference value falling within the preset ratio range and having the largest amount of live streaming resources can be used as the reference account.

[0077] For example, determining a set of similar accounts for the current account from the account set includes: for each account in the account set, determining the similarity between the account and the current account in terms of published content features, obtaining the content similarity corresponding to the account, wherein the published content features of the current account are obtained by feature extraction from multiple published content under the current account; determining the similarity between the account and the current account in terms of followed account features, determining the followed account similarity corresponding to the account, wherein the followed account features of the current account are obtained by feature extraction from the account description information of multiple followed accounts of the current account; determining a comprehensive similarity based on the content similarity and the followed account similarity; and selecting similar accounts for the current account from the account set based on the comprehensive similarity to obtain a set of similar accounts for the current account.

[0078] Among them, similar accounts are accounts in the account set that meet the similarity conditions; the similarity conditions include at least one of the following similarity reaching the first similarity threshold, content similarity reaching the second similarity threshold, or comprehensive similarity reaching the third similarity threshold; following similarity is the similarity between the following account characteristics of an account and the following account characteristics of the current account, and the following account characteristics are generated based on the user description information of the account's interactive users; content similarity is used to reflect the similarity between the account and the current account in the characteristics of the published content, and comprehensive similarity is generated by combining following similarity and content similarity.

[0079] The account set can include all or some accounts on the social content platform. The first, second, and third similarity thresholds can be set according to actual needs, and these thresholds can be the same or different. Since fake K-buyer data may exist on social content platforms (referring to K-streaming data generated from non-genuine business activities), this application will exclude fake K-buyer data from the calculations. "K" refers to KOL (Key Opinion Leader), and K-streamers can be content creators with professional product selection capabilities and a strong fan base, such as buyers, influencers, or bloggers.

[0080] Interactive users of an account are those who engage in interactive activities with the account. Interactive users can also be followers, who are users who have followed the account; for example, a follower is a fan. An account that follows a user can be called a followed account.

[0081] User descriptions of interactive users may include attribute information and / or behavioral information. Attribute information includes, but is not limited to, at least one of age and gender. Behavioral information includes, but is not limited to, at least one of purchase frequency, categories of products viewed in the past, or categories of products purchased in the past.

[0082] The content posted by an account can be in any form, including but not limited to images, text, video, or audio. Posted content can also be a combination of at least two of these formats.

[0083] For example, each account can have multiple interacting users. Followed account characteristics can be generated by analyzing user descriptions of these multiple interacting users. These characteristics can reflect the features exhibited by these multiple interacting users in terms of age, gender, spending power, and category preferences, etc.

[0084] For example, each account can publish multiple pieces of content. For each account, the published content can be analyzed or its features extracted to obtain the content features corresponding to that account. These features reflect the overall characteristics of the multiple published pieces of content. Similarly, for the current account, the published content can be analyzed or its features extracted to obtain the content features corresponding to that account. Therefore, the similarity between the account's published content features and the current account's published content features can be calculated, determining the content similarity between the two accounts.

[0085] For example, for each account, the average of the follower similarity and content similarity can be used as the overall similarity. Alternatively, the follower similarity and content similarity can be weighted and the result of the weighted calculation can be used as the overall similarity.

[0086] For example, if an account meets any one of the following similarity thresholds, content similarity thresholds, or overall similarity thresholds, then the account is determined to be a similar account to the current account.

[0087] For example, if an account meets any one of the following similarity thresholds, the content similarity threshold, or the overall similarity threshold, then the account is determined to be a similar account to the current account if it meets at least two of these criteria.

[0088] In this embodiment, determining similar accounts based on similarity criteria can improve the accuracy of identifying similar accounts.

[0089] For example, determining the account tag for the current account includes: searching for account tags associated with the current account; if no tags are found, aggregating the product resource acquisition volume of products sold via live streaming under the current account in historical time periods according to product category, obtaining the aggregated resource volume corresponding to at least one product category, where products sold via live streaming refer to products sold through live streaming; determining the target product category from at least one product category according to the aggregated resource volume. From the category mapping relationship, searching for the account tag associated with the target product category as the account tag for the current account, the category mapping relationship includes the association relationship between various product categories and account tags.

[0090] For each account, it may or may not have account tags set. Account tags can be set by the social content platform's management account, such as by the AM (Account Manager) organizational structure, or by the user the account represents. Account tags can represent the account's niche; for example, an account tag like "skiwear" represents the "skiwear" niche, and an account tag like "plus-size women's clothing" represents the "plus-size women's clothing" niche.

[0091] For accounts that haven't set account tags, category mapping relationships can be used to determine account tags. The target product category can be the product category with the largest aggregated resource volume.

[0092] In this embodiment, a priority-decreasing matching method is adopted, which can determine suitable reference accounts (e.g., reasonable benchmarks) under different data sparsity conditions. In an exemplary embodiment, a live streaming dimension filtering method applied to a live streaming management method is provided, the live streaming dimension filtering method including:

[0093] Get the first dimension value of the current account in multiple live streaming dimensions, and get the second dimension value of the reference account of the current account in multiple live streaming dimensions. Each live streaming dimension has a different dimension priority and each live streaming dimension has a selection condition.

[0094] According to the dimension priority corresponding to each of the multiple live streaming dimensions, the system traverses multiple live streaming dimensions. For the current live streaming dimension, it determines whether the selection conditions of the current live streaming dimension are met based on the first and second dimension values. If not, the traversal continues. If the conditions are met and the preset traversal stop condition is reached, the traversal stops, and at least one live streaming dimension that meets the corresponding selection conditions is obtained.

[0095] The live streaming metrics include at least one of the following: total resource volume, live streaming activity, product matching degree, product concentration, average resource transfer volume, resource volume ratio, reservation account ratio, or average reservation content volume.

[0096] Total resources refer to the amount of resources obtained through live streaming within the reference period. Live streaming activity is positively correlated with the number of live streams and / or the average live streaming duration within the reference period.

[0097] Product matching degree is used to reflect the degree of matching between recommended products and followed users in the live broadcast within the reference time period. Product concentration degree is used to reflect the proportion of target recommended products that meet the target conditions in the live broadcast within the reference time period. The target conditions include the amount of resources obtained in a single live broadcast being greater than the resource amount threshold.

[0098] Average resource transfer volume reflects the average amount of resources transferred per conversion during a live stream within a reference time period. Resource volume percentage reflects the contribution of the reservation account to the total resource volume. The reservation account is the account that has reservation interaction behavior during the live stream within the reference time period. Average resource transfer volume is, for example, the average order value.

[0099] The percentage of accounts that made reservations represents the proportion of accounts that made reservations among the total number of interactive accounts from which the resources originated. The average amount of reservation content represents the average number of reservation content posts per live stream during the reference period. Reservation content is used to make reservations for the live stream.

[0100] For example, during the generation of comparison information, the number of characters in the comparison information for each live stream dimension can be constrained (e.g., 10-25 characters). When displaying the comparison information, numerical values ​​or keywords in the comparison information can be automatically bolded, and the number of bolded characters can be constrained (e.g., ≤8).

[0101] In this embodiment, since multiple live streaming dimensions include total resource volume, live streaming activity, product matching degree, product concentration, average resource transfer volume, resource volume ratio, reservation account ratio, or average reservation content volume, the accuracy and richness of live streaming comparison information are improved.

[0102] In one exemplary embodiment, the method further includes at least one of the following:

[0103] The selection criteria for live streaming activity include: the difference between the current account and the reference account in the number of live streams reaches the number of live streams difference threshold, and / or, the difference between the current account and the reference account in the average live streaming duration reaches the duration difference threshold.

[0104] The selection criteria for product matching include: the current account has a lower product matching score than the reference account, and the difference in product matching score reaches the first percentage difference threshold.

[0105] The selection criteria for product concentration include: the current account has a lower product concentration than the reference account, and the difference in product concentration reaches the second proportion difference threshold.

[0106] The selection criteria for average resource transfer volume include: the current account has a lower average resource transfer volume than the reference account, and the difference in average resource transfer volume reaches the transfer difference threshold;

[0107] The selection criteria for resource volume ratio include: the current account has a lower resource volume ratio than the reference account, and the difference in resource volume ratio reaches the third ratio difference threshold.

[0108] The selection criteria for the percentage of reservation accounts include: the current account has a lower percentage of reservation accounts than the reference account, and the difference in the percentage of reservation accounts reaches the fourth percentage difference threshold.

[0109] The selection criteria for the average number of reserved content items include: the current account's average number of reserved content items is lower than that of the reference account, and the difference in the average number of reserved content items reaches the quantity difference threshold. Total resource quantity is a mandatory option.

[0110] For example, each live streaming dimension has a priority, and when selecting live streaming dimensions, they can be selected in descending order of priority. The priority of live streaming dimensions can be set according to actual needs. For example, the priority of total resources, live streaming activity, product matching degree, product concentration, average resource transfer volume, resource volume ratio, reservation account ratio, and average reservation content volume decreases in that order.

[0111] For example, the at least two live streaming dimensions are the target number of live streaming dimensions. The target number can be set according to actual needs and is less than the total number of live streaming dimensions. For example, if the total number of live streaming dimensions is 7, the target number can be 4. If the target number of live streaming dimensions is not successfully selected, the next reference account will be automatically matched.

[0112] In this embodiment, selecting live streaming dimensions by setting selection criteria can improve the rationality and accuracy of the selection.

[0113] For example, the live streaming management page can display a list of live streaming plans and an entry point for creating live streaming plans. Figure 3 The image shows a schematic diagram of the live streaming management page. Figure 3 In the live streaming management page 300, there is a creation entry 302 and a list of live streaming plans. The creation entry 302 is used to trigger the creation of a live streaming plan. The list of live streaming plans contains list items of the live streaming plans that have been created, such as list item 304. The list items support editing, copying and deleting live streaming plans, and also display the live streaming status and related information.

[0114] For example, the live stream management page can display an entry point for viewing the planned usage guide. In response to a trigger operation on this entry point, the terminal displays a guide details page, which then shows the planned usage guide. Figure 4As shown, the terminal displays the strategy details page 404 in response to a trigger operation for the strategy viewing entry 402.

[0115] Exemplarily, the live broadcast suggestion information can be optimization suggestions given for the live broadcast dimension. Figure 5 In [the example], "Big Head 2024" represents the reference account, and "I" represents the current account. On the live broadcast plan creation page 500, comparison information under four live broadcast dimensions, namely "the first dimension (i.e., total resources)", "the second dimension (i.e., live broadcast activity)", "the third dimension (i.e., product matching degree)", and "the fourth dimension (i.e., proportion of reserved accounts)", is displayed. The comparison information under "the first dimension" includes "5 million" and "last month's live broadcast revenue of 1 million", and the corresponding live broadcast suggestion information is "There is a chance to reach 3 million this month". The comparison information under "the second dimension" includes "18 live broadcasts in a single month, a total of 320 hours" and "Your fans are equally active on weekday evenings", and the corresponding live broadcast suggestion information is "It is recommended to add at least 4 weekday live broadcasts". The comparison information under "the third dimension" includes "The products better meet the preferences of fans, and the fan transaction proportion is as high as 78%" and "Your fans have recently been种草mountaineering shoes", and the corresponding live broadcast suggestion information is "Seize the opportunity of the next wave of popular products". The comparison information under "the fourth dimension" includes "The proportion of reserved live broadcast revenue is as high as 20%, and an average of 7 reservation notes are published per live broadcast", and the corresponding live broadcast suggestion information is "Refer more to her content structure, publish preview notes frequently, and quickly narrow the gap".

[0116] In an exemplary embodiment, the live broadcast management page also displays incentive information for a target time period. The incentive information includes the estimated live broadcast resource acquisition volume of the current account during the target time period. The method further includes any one of the following: the current account belongs to the first type of account, and the incentive information includes trend information for reflecting changes in the demand for products under at least one product category associated with the current account; or, the current account belongs to the second type of account, and the incentive information includes trend information for reflecting changes in the conversion willingness of the followed accounts under the current account.

[0117] Among them, the account types can be divided into the first type of account and the second type of account. The second type of account has a higher influence than the first type of account. For example, the first type of account is the account of a star buyer, and the second type of account is the account of a vertical buyer. A vertical buyer is a non-star buyer. A followed account is an account that has followed the current account, such as a fan account. Among them, the target time period is after the reference time period. For example, the reference time period is last month, and the target time period is this month.

[0118] The estimated live stream resource acquisition amount is determined based on the live stream resource acquisition amount of the reference account during the reference time period. For example, it can be the live stream resource acquisition amount of the reference account during the reference time period, or the estimated live stream resource acquisition amount = the live stream resource acquisition amount of the reference account during the reference time period × a preset coefficient, where the preset coefficient is greater than 1, for example, 120%. For example, if the reference account is determined through a first search strategy or a second search strategy, then the estimated live stream resource acquisition amount = the live stream resource acquisition amount of the reference account during the reference time period; otherwise, the estimated live stream resource acquisition amount = the live stream resource acquisition amount of the reference account during the reference time period × a preset coefficient. For example, "Take the GMV of the first place in the track × 120% as the reference target," where the reference target is the estimated live stream resource acquisition amount. When displaying the estimated live stream resource acquisition amount, it can be automatically abbreviated (e.g., "3 million," and if it contains a decimal, it will be rounded to one decimal place).

[0119] For example, the server can generate incentive information based on the account type to which the current account belongs. If the current account belongs to the first type of account, the generated incentive information includes information reflecting the changing trend of product demand under at least one product category associated with the current account. For example, if the target period is next month (e.g., March), the incentive information would be a monthly target incentive copy: "Demand for sports and outdoor activities continues to surge, with a target of 3 million in March (20% increase over the previous month)." Here, 3 million is the estimated amount of live streaming resources obtained.

[0120] If the current account belongs to the second type of account, the generated incentive information will include information reflecting the changing trend of conversion intentions of the accounts followed by the current account. For example, if the target period is next month (e.g., March), the incentive information will be the monthly target incentive copy: "Fans' willingness to spend continues to rise, with a target of 3 million in March (20% more than the previous month)." Here, 3 million is the estimated amount of live streaming resources obtained.

[0121] For example, the target interactive page may include a comparison information area, which may display incentive information.

[0122] For example, the comparison information area can also display a ranking of similar accounts. For instance, if the current account is a celebrity account, then the ranking of similar accounts would be a ranking of celebrity-related accounts. Figure 5 As shown, the target interaction page 500 displays a comparison information area 502, which includes incentive information 504 and comparison information under four dimensions, as well as a list of similar buyers.

[0123] Step 204: In response to the input of target live streaming parameters based on the creation entry, the live streaming plan creation page is displayed.

[0124] The target live stream parameters are used to determine the recommended products and previews for the current account's live streams. The live stream plan creation page must include at least a live stream product management area and a live stream preview management area. The live stream product management area displays guidance information for adding products determined based on the recommended products and is used to add live stream products. The live stream preview management area displays guidance information for publishing previews determined based on the recommended previews and is used to publish live stream previews. The process of determining the recommended products and previews can be based on the live stream products and preview content of a reference account's historical live streams. The recommended products are used to provide suggestions for selecting products for the live stream. The preview publishing guidance information is used to guide the publication of live stream previews and associate live stream previews with scheduled content, etc.

[0125] The entry point can take the form of, but is not limited to, an input box or a control. For example, a pop-up window can be displayed in response to a click on the entry point to allow users to input target live stream parameters. Target live stream parameters can be live stream information. Live stream information includes, but is not limited to, the live stream title, live stream time, live stream duration, and target resource quantity (e.g., sales target).

[0126] For example, in response to a triggered operation on the plan creation entry, the terminal displays a broadcast information editing window for entering broadcast information. For instance, Figure 6 In response to the trigger operation for creating entry 602, the terminal displays the broadcast information editing window 604.

[0127] For example, the live broadcast information editing window may display a "create confirm" control. In response to a trigger operation on the "create confirm" control, the terminal hides the live broadcast information editing window and displays a live broadcast plan creation page associated with the live broadcast information in the editing window. The live broadcast plan creation page displays suggestions for live broadcast products and live broadcast previews. The live broadcast plan creation page may also display the live broadcast information.

[0128] In an exemplary embodiment, the live broadcast preview suggestion includes a suggested number of releases, which is the suggested number of releases for the scheduled release content, which is used to schedule the live broadcast corresponding to the live broadcast plan; the suggested number of releases is determined based on the target resource volume and the current account's reservation conversion rate, which is used to reflect the proportion of successfully converted reservation accounts among multiple reservation accounts, and multiple reservation accounts include reservation accounts in multiple live broadcasts with reservations under the current account, and reservation accounts are accounts that have reservation interaction behavior with the live broadcasts with reservations.

[0129] For example, for each of multiple historical live streams under the current account, the server can determine the average resource transfer volume per account for each historical live stream. Average resource transfer volume per account = resource volume obtained in the historical live stream ÷ number of accounts successfully converted in the historical live stream. For example, if the total revenue in the historical live stream is A, and the number of people making a purchase is B, then the average resource transfer volume per account = A ÷ B. The average resource transfer volume per account can be, for example, the average order value. The server can calculate the average of the average resource transfer volumes per account for these multiple historical live streams to obtain a reference resource transfer volume. For example, if these multiple historical live streams are the last 7 live streams, then the reference resource transfer volume is the "average order value per purchase in the last 7 live streams". The server can determine the target number of accounts to be converted based on the target resource volume and the reference resource transfer volume. Target number of accounts to be converted = target resource volume ÷ reference resource transfer volume. The target number of accounts to be converted represents the number of accounts that need to be successfully converted to reach the target resource volume; for example, the target number of accounts to be converted represents the number of people who need to make a purchase.

[0130] For example, for each of multiple historical live streams, the server can determine the percentage of accounts that made reservations among the converted accounts (i.e., accounts that successfully converted), thus obtaining the reservation conversion percentage corresponding to the historical live stream. The average of the reservation conversion percentages corresponding to each of the multiple historical live streams is taken as the average reservation conversion percentage. If the average reservation conversion percentage is greater than or equal to a preset percentage threshold, it is used as the reference reservation conversion percentage; otherwise, the preset percentage threshold is used as the reference reservation conversion percentage. The preset percentage threshold can be set according to actual needs, for example, 10%. The server can determine the number of accounts to be converted based on the target number of converted accounts and the reference reservation conversion percentage: Number of accounts to be converted = Number of target converted accounts × Reference reservation conversion percentage.

[0131] For example, for each historical live stream across multiple historical live streams, the server can calculate the percentage of accounts that converted from reservations to the live stream, obtaining the corresponding reservation conversion percentage (e.g., number of people who reserved and completed through notes / number of people who reserved through notes), and calculate the average of the reservation conversion percentages for each historical live stream to obtain the reservation conversion rate. For each historical live stream across multiple historical live streams, the server can calculate the average number of live stream reservations corresponding to each reservation release content of the historical live stream, obtaining the average number of live stream reservations. The number of live stream reservations corresponding to the reservation release content refers to the number of accounts that reserved for the historical live stream through the reservation release content. The server can determine the number of candidate releases based on the number of accounts that converted to reservations, the reservation conversion rate, and the average number of live stream reservations. The number of candidate releases = number of accounts that converted to reservations ÷ (average number of live stream reservations × reservation conversion rate). The reservation conversion rate can be truncated to one decimal place, with a minimum value of 0.1%.

[0132] For example, the number of candidate releases can be used as the suggested release number. Alternatively, if the number of candidate releases is greater than or equal to the preset release number, the number of candidate releases can be used as the suggested release number; if the number of candidate releases is less than the preset release number, the preset release number can be used as the suggested release number. The preset release number can be set according to actual needs, for example, the preset release number is 5.

[0133] In an exemplary embodiment, the target resource quantity is further used to determine a live streaming promotion suggestion. The live streaming promotion suggestion includes at least one of a promotion resource quota and a virtual resource quantity. The promotion resource quota is allocated from the target resource quantity and is used to promote the live stream corresponding to the live streaming plan. The virtual resource quantity is determined based on the promotion resource quota and the resource amount represented by the virtual resource. The resource amount is determined based on at least one of the account level of the current account and the primary product category associated with the current account.

[0134] Accounts can have account levels, which can be determined based on at least one of the following: account influence, number of live streams, or live stream revenue. For K-stream buyers, account levels can be, for example, K1 to K6, with K1 to K6 being progressively higher.

[0135] Promotion can be understood as marketing. Promotional resource quota can be understood as a marketing budget. Promotional resource quota can be allocated from the target resource volume based on the proportion of promotional resources. For example, promotional resource quota = target resource volume × promotional resource proportion. The promotional resource proportion can be set according to actual needs. For example, it can be determined based on the current account level and the product categories associated with the current account. For instance, the account level and associated product categories can be used as indexes to query the corresponding preset proportion from the proportion mapping table, and the queried preset proportion can be used as the promotional resource proportion, for example, 2%.

[0136] Virtual resources can include, but are not limited to, red envelopes, coupons, or discount coupons (such as 20% off coupons or coupons that reduce spending by 30 yuan for purchases over 200 yuan). The value of virtual resources is, for example, the face value of a discount coupon.

[0137] For example, the server can obtain the average of the average resource transfer volume for each of the current account's multiple historical live streams, and use this average as a reference transfer volume. This average could be, for example, the average order value for the last 7 live streams.

[0138] The server can use the reference transfer volume, the current account level, and the primary product category associated with the current account as indexes to query the corresponding virtual resource description information from the virtual resource mapping table, and determine the resource quota represented by the virtual resource based on the virtual resource description information. The virtual resource description information describes the virtual resource and may include resource quotas.

[0139] For example, the quantity of virtual resources = promotional resource quota ÷ resource amount. The quantity of virtual resources can be rounded up if it ends in 5 or 0. For instance, the suggested number of coupons = marketing budget ÷ actual coupon face value.

[0140] like Figure 7A In response to the trigger operation of the creation confirmation control 702, the terminal displays the live broadcast plan creation page 704, which displays the broadcast start information 706. The target breakdown window 708 of the live broadcast plan creation page 704 also displays live broadcast product suggestions 710, live broadcast preview suggestions 712, and live broadcast promotion suggestions 714. In the live broadcast preview suggestion 712, "5 articles" indicates that the number of suggestions published is 5, and the note reservation conversion rate refers to the reservation conversion rate. The live broadcast promotion suggestion 714 includes a promotion resource quota of "15000", a resource amount of "200", and a virtual resource quantity (i.e., the number of suggestion coupons) of "50".

[0141] For example, the method further includes at least one of the following: displaying the progress information of the suggested completion corresponding to the live-streamed product suggestion; or, displaying the progress information of the suggested completion corresponding to the live-streamed preview suggestion; or, displaying the progress information of the suggested completion corresponding to the live-streamed promotion suggestion. Figure 7B The text displays the progress information for suggestions 710 (live-stream product suggestion), 712 (live-stream preview suggestion), and 714 (live-stream promotion suggestion).

[0142] For example, the terminal hides the target disassembly window in response to a hiding operation on the target disassembly window. The terminal displays the target disassembly window in response to a disassembly window display operation triggered on the live broadcast plan creation page. For instance, the terminal hides the target disassembly window 708 in response to a trigger operation on control 716, and redisplays the target disassembly window 708 in response to a trigger operation on control 718.

[0143] For example, the live stream plan creation page can also display an entry point for modifying broadcast information. In response to a trigger operation targeting the broadcast information modification entry point, the terminal displays a broadcast information modification window. This window provides the function to modify broadcast information. When a trigger operation targeting the broadcast time is triggered, a prompt message corresponding to the broadcast time is displayed, such as, "After modification, published live stream announcements and viewer reservations will be automatically deleted. Please modify with caution." In response to a modification completion operation triggered in the broadcast information modification window, the terminal hides the window and can display a prompt message indicating that the broadcast information has been modified. For example... Figure 8In response to a trigger operation on the broadcast information modification entry 802, the terminal displays the broadcast information modification window 804. When a trigger operation on the broadcast time is triggered, a prompt message 806 corresponding to the broadcast time is displayed. The modification completion operation can be a trigger operation on the modification completion control in the broadcast information modification window, such as a trigger operation on the modification completion control 808.

[0144] In the aforementioned live streaming management method, a live streaming management page is displayed. This page includes a comparison information area and a live streaming plan creation entry. The comparison information area includes comparison information between the current account and a reference account in at least one live streaming dimension, as well as live streaming suggestion information determined based on the comparison information. The live streaming suggestion information is used to recommend live streaming parameters for the current account's next live stream, thus intelligently providing guidance for editing the live streaming plan and making it more conducive to achieving the live streaming plan's goals. Responding to the input of target live streaming parameters through the creation entry, a live streaming plan creation page is displayed. The target live streaming parameters are used to determine at least the live streaming product suggestions and live streaming preview suggestions for the current account. The live streaming plan creation page includes at least a live streaming product management area and a live streaming preview management area. The live streaming product management area displays guidance information for adding products determined based on the live streaming product suggestions and is used to add live streaming products. The live streaming preview management area displays guidance information for releasing previews determined based on the live streaming preview suggestions and is used to release live streaming previews. Therefore, the product management area allows for more precise product selection, and the live streaming preview management area allows for more precise previews, improving the accuracy of the live streaming plan.

[0145] In one exemplary embodiment, the product addition guidance information includes multiple product recommendation items with different priorities. The method further includes: in response to a trigger operation for a product recommendation item, displaying a list of products associated with the product recommendation item; the product list is used to add products to the live streaming plan; wherein, the method of generating product recommendation items includes: analyzing the live streaming participation preferences of followed accounts under the current account in historical time periods; or, analyzing the products recommended by similar accounts of the current account in live streams; or, analyzing the products of historical partner merchants of the current account.

[0146] The product recommendation item includes at least one product category, at least one product price range (e.g., 1-2 price segments), and at least one brand name (e.g., 1-3 brand names). The product recommendation item can also include or be associated with a product list, which contains information on multiple recommended products. This product list can be, for example, a product inventory list, and the number of products in the list can be set according to actual needs, for example, 20-50.

[0147] Similar accounts to the current account can be accounts of the same type as the current account. For example, if the current account belongs to the first type of account, then similar accounts also belong to the first type of account.

[0148] For example, different priorities include first priority, second priority, and third priority. First priority product recommendations are generated by analyzing the livestream participation preferences of followed accounts under the current account within a historical time period, such as analyzing fans' consumption preferences over the past 30 days (limited to specific livestream venues). Products in the product list associated with first priority product recommendations can be selected from products purchased (i.e., consumed) by followed accounts under the current account within a historical time period.

[0149] The second priority product recommendation category is generated by analyzing products recommended by similar accounts in the current account's live streams. For example, it's generated by analyzing products that have been promoted by similar buyers and have become bestsellers. The products in the product list associated with the second priority product recommendation category can be those that meet the target criteria from products recommended by similar accounts in their live streams.

[0150] The third priority product recommendation option analyzes products from the current account's historical partner merchants. The second priority product recommendation option associates products from historical partner merchants.

[0151] For example, the terminal can display multiple product recommendations with different priorities on the live streaming plan creation page, and each product recommendation can be in the form of a card. Figure 9 In the live streaming plan creation page, the live streaming product management area 902 displays the first priority product recommendation item 904, the second priority product recommendation item 906, and the third priority product recommendation item 908.

[0152] For example, the terminal responds to a product addition operation triggered on the live stream plan creation page, such as adding a product to the live stream plan. Figure 9 The trigger operation of control 910 in the live-streaming product management area 902 displays... Figure 10 The product addition page supports multiple methods, such as adding products from products owned or favorited by the current account, adding products manually in batches, and adding products from existing live streaming plans (i.e., adding products from existing live streaming plans to the existing live streaming plan).

[0153] For example, if no products are added to the live stream plan, product recommendations are displayed on the live stream plan creation page. If products have been added to the live stream plan, thumbnails are displayed on the live stream plan creation page. In response to a trigger action on the thumbnails, a recommendation expansion page is displayed, showing multiple product recommendations. For the selected product recommendation, a list of associated products is displayed. For example... Figure 11In the middle, a thumbnail control 1102 is displayed on the live stream plan creation page. In response to a trigger operation on the thumbnail control 1102, the following is displayed: Figure 12 The recommended items in the page expand to 1200.

[0154] In an exemplary embodiment, the target live streaming parameters include a target resource quantity; the method further includes: displaying an adjustment strategy for the live streaming plan on the live streaming plan creation page, the adjustment strategy including product replenishment suggestions and inventory replenishment reminders for key products in the live streaming plan: the product replenishment suggestions are displayed when the total product resource quantity in the live streaming plan is less than a resource quantity threshold, and the resource quantity threshold is higher than the target resource quantity; the inventory replenishment reminders are displayed when the inventory resource quantity of key products in the live streaming plan is less than the inventory resource quantity threshold.

[0155] The total product resource quantity refers to the total price of all added products in the live stream plan. The resource quantity threshold is determined based on the target resource quantity; for example, resource quantity threshold = target resource quantity × expansion coefficient. The expansion coefficient is greater than 1 and can be set and adjusted according to actual needs, for example, it can be 3. Therefore, resource quantity threshold = target resource quantity × 3. Product replenishment suggestions can include the difference between the resource quantity threshold and the total product resource quantity.

[0156] The inventory resource threshold is related to the current account level. For example, the inventory resource threshold is positively correlated with the account level. For instance, for buyers at levels K1-K4, the inventory resource threshold is the first threshold; for buyers at levels K5-K6, the inventory resource threshold is the second threshold, which is greater than the first threshold. For example, the first threshold might be 5,000, and the second threshold might be 50,000. The inventory resource quantity is the product of the current account's inventory quantity of the key product and the product price.

[0157] Key products are those whose historical average conversion resource volume exceeds a conversion resource volume threshold. The conversion resource volume threshold is positively correlated with the account level. For example, for K1-K4 buyers, the conversion resource volume threshold is 10,000, and for K5-K6 buyers, it is 100,000. The historical average conversion resource volume is determined based on the sales revenue of key products across multiple historical live streams for the current account; for example, it could be the average sales revenue of key products across multiple historical live streams. Key products can be, for example, best-selling products. After a buyer has added at least one product to the live stream plan, the server can generate an adjustment strategy in real time. For example, the terminal can display the adjustment strategy for the live stream plan on the live stream plan creation page, such as... Figure 13As shown, in area 1302 of the live streaming plan creation page 1300, adjustment strategies are displayed, such as "Increase the number of selected products: Based on your "target sales", you need to replenish at least 300,000 yuan worth of goods", "Modify the price of selected products: 6 high-priced items may affect conversion, please contact the merchant to change the price as soon as possible", and "Replenish inventory: 5 items are out of stock, please contact the merchant to replenish inventory as soon as possible", etc.

[0158] For example, for products already added to the live stream plan, if the price of an added product is higher than the reference price, a price adjustment notification is generated. The terminal can display the price adjustment notification, which may include at least one of the direction of adjustment and the amount of adjustment. Alternatively, the terminal can display a price adjustment icon, and in response to a triggering operation on the price adjustment icon, display the price adjustment notification, for example... Figure 13 The price adjustment icon 1304 is displayed in the image.

[0159] In an exemplary embodiment, the method further includes: displaying a release prompt message and a viewing entry for the release content on the live broadcast plan creation page, wherein the release prompt message is used to prompt the release of the scheduled release content, the scheduled release content is used to provide an entry point for the live broadcast corresponding to the scheduled live broadcast plan, and the viewing entry for the release content is used to view the recommended scheduled release content.

[0160] The recommended appointment release content is selected from the historical appointment release content of accounts with similar content. The accounts with similar content are selected from multiple candidate accounts based on content similarity. Content similarity is used to reflect the similarity between the candidate account and the current account in the content released. Alternatively, the recommended appointment release content is selected from the historical appointment release content of parallel accounts, which are associated with the current account in the same product category.

[0161] Multiple candidate accounts belong to an account set; for example, each account in the account set is a candidate account. Parallel accounts are, for example, those in the same industry as the previous account. Historical reservation content refers to previously published content used for reserving live streams.

[0162] For example, for each candidate account, the server can obtain the similarity between the current account and the candidate account in the published content, and obtain the content similarity between the current account and the candidate account. If the content similarity is greater than or equal to the target similarity threshold, the candidate account is regarded as the content similar account of the current account.

[0163] For example, if the content similarity between the current account and each candidate account is less than the target similarity threshold, that is, there are no accounts with similar content, then the content to be recommended for release can be filtered from the historical release content of the parallel accounts.

[0164] For example, the process of selecting recommended reservation content from historical reservation releases may include: selecting historical reservation releases that meet at least one of reservation characteristics, click characteristics, and interaction characteristics as recommended reservation releases. The reservation characteristic refers to the number of accounts making live stream reservations through historical reservation releases exceeding a set number; the click characteristic refers to the click-through rate of historical reservation releases exceeding a set click-through rate or the number of clicks exceeding a set number of clicks; and the interaction characteristic refers to the interaction rate of historical reservation releases exceeding a set interaction rate or the number of interactions exceeding a set number of interactions.

[0165] For example, based on the tags of historical reservation posts, it can be determined whether they meet reservation characteristics, click characteristics, or interaction characteristics. For instance, if historical reservation posts have the tag "high reservations," they meet the reservation characteristic; if they have the tag "high clicks," they meet the click characteristic; and if they have the tag "high interaction," they meet the interaction characteristic.

[0166] For example, the server can perform feature analysis on multiple recommended reservation release content to generate reservation content creation paradigms (for example, there can be three types of reservation content creation paradigms, namely professional parameter hook type, scene atmosphere seeding type, and scarce benefit urgency type). The reservation content creation paradigm is used to guide the creation of reservation release content so that the created reservation release content has at least one of reservation features, click features, and interaction features.

[0167] For example, the posting prompt and access to the posted content can be displayed on the live stream plan creation page, or the posting prompt and access to the posted content can be displayed via the live stream plan creation page, for example, the posting prompt and access to the posted content can be displayed on the live stream plan creation page. Figure 14 As shown, a release prompt card 1402 is displayed in the live broadcast preview management area 1400 on the live broadcast plan creation page. The text content displayed in the release prompt card 1402 is the release prompt information. The release prompt card 1402 also contains the release content viewing entry 1404.

[0168] In an exemplary embodiment, the method further includes: displaying a recommended cover and target generated content on a live streaming plan creation page, wherein the recommended cover is the cover set by the first historical live stream of an account with similar content, the first historical live stream is a live stream within a reference time period and has at least two covers, the interaction degree of the first historical live stream is greater than the interaction degree increment of the second historical live stream of an account with similar content than the increment threshold, and the second historical live stream occurred before the first historical live stream; wherein the target generated content is generated based on the live stream details information of the first historical live stream.

[0169] Interaction rate can be either the exposure of the live stream or the viewership rate of the live stream. (Interaction rate of the first historical live stream - Interaction rate of the second historical live stream) / Interaction rate of the second historical live stream > Incremental threshold. The incremental threshold can be set according to actual needs, for example, to 80%.

[0170] The live stream details can include information from multiple perspectives of the first historical live stream, including but not limited to product perspectives (best-selling items / brands / categories), benefit perspectives (subsidies / coupons), and gameplay perspectives (special features in the live stream). The target generated content can be less than or equal to a word count threshold, which can be set as needed, for example, to 30 words. The target generated content can be generated using a content generation model; for example, the live stream details can be input into the content generation model to obtain the target generated content. The content generation model belongs to the AI ​​(Artificial Intelligence) model.

[0171] For example, a cover prompt card can be displayed on the live stream plan creation page. This card prompts users to set multiple cover images for the live stream. The cover prompt card may also include a cover image viewing link to view recommended cover images. Figure 14 The terminal displays a cover prompt card 1406, which contains a cover viewing entry 1408. In response to a trigger action on the cover viewing entry, the terminal displays a cover display page, showing recommended covers and target generated content.

[0172] In one exemplary embodiment, the live streaming plan is associated with live streaming preview content, which is used to preview the live stream corresponding to the live streaming plan; the method further includes: displaying preview optimization information corresponding to the live streaming preview content on the live streaming plan creation page.

[0173] The conditions for displaying preview optimization information include at least one of the following: the live stream preview content is not associated with any product; the live stream preview content is not associated with any virtual resources for reservation incentives; the live stream preview content is not associated with any published content. Virtual resources for reservation incentives, for example, are reservation coupons. The live stream preview content can be used to reserve the live stream corresponding to the planned live stream.

[0174] For example, preview optimization information can be used to guide users to associate products with live stream preview content, to associate reservation incentive virtual resources with live stream preview content, or to associate published content with live stream preview content. For instance, if the live stream preview content is not configured with associated products, the preview optimization information "Configuration can increase reservation conversion rate by +8%" will be displayed; if the live stream preview content is not configured with reservation coupons, the preview optimization information "Configuration can increase reservation conversion rate by +5%" will be displayed; if the live stream preview content is not associated with any notes, the preview optimization information "Associating notes can increase the number of reservations by +15%" will be displayed.

[0175] For example, the live stream plan creation page may display a preview creation entry. In response to a trigger operation on the preview creation entry, the terminal displays the preview creation page, which is used to create previews. Figure 14 In response to the trigger operation for the preview creation entry 1402, the terminal displays... Figure 15 The preview page is 1500.

[0176] For example, the preview creation page may include a content tab, a product tab, and an incentive resource tab. The content tab is used to trigger the display of content cards for the published content. By selecting a content card, the published content can be associated with the live stream preview content. The product tab is used to trigger the display of product cards for the products. By selecting a product card, the product can be associated with the live stream preview content. The incentive resource tab is used to trigger the creation and display of reservation incentive virtual resources, which can be associated with the reservation incentive virtual resources for the live stream preview content. Figure 15 The image displays the content tab 1502, the product tab 1504, and the incentive resource tab 1506. For example... Figure 16 In the preview creation page, the incentive resource tab 1506 is selected and displays relevant information about the reserved incentive virtual resource.

[0177] For example, the server can determine the number of items to be published based on the target resource volume and the number of already published scheduled content. The terminal can display a suggested number of scheduled content items to be published, and this suggested number of items can be displayed in the same area along with the preview optimization information. Figure 17 The text displays information on optimizing live stream announcements: "Improve your live stream announcements: Configure products and coupons for your announcements, which can increase the live stream reservation conversion rate by 10%; linking notes can increase the number of reservations by 5%", as well as suggestions for publishing reservation content: "Publish reservation notes: Based on your 'target sales', the number of reservations is expected to reach 7,000, the platform suggests that you publish 2-4 more video reservation notes."

[0178] For example, the terminal responds to an edit completion operation triggered on the live stream plan creation page, such as an edit completion operation on... Figure 17 The trigger operation of control 1702 sends an "editing complete" message to the server, allowing the server to store the edited live stream plan. The live stream plan creation page can simultaneously display... Figure 11 and Figure 17 Contents in the middle.

[0179] In an exemplary embodiment, the live streaming plan creation page further includes a live streaming assistant settings area corresponding to the live streaming assistant. The live streaming assistant is used to provide a first service and / or a second service. The first service is used to analyze live streaming data during the live streaming process to generate product recommendation information and / or product explanation strategy information. The second service is used to identify target comment content and provide a reply panel during the live streaming process. The reply panel displays reply content generated for the target comment content and is used to send reply content. The target comment content is filtered based on the conversion intent intensity of the comment content. The method further includes: in response to an assistant activation operation triggered in the live streaming assistant settings area, displaying a live streaming assistant activation panel, which displays introduction information of the first service and / or the second service; and in response to an assistant activation operation triggered based on the live streaming assistant activation panel, activating the live streaming assistant.

[0180] like Figure 18 As shown, the live streaming assistant startup panel 1800 is displayed. Core function 1 corresponds to the first service, and core function 2 corresponds to the second service. The purpose of the two core functions is described in the form of a diagram in the live streaming assistant startup panel 1800.

[0181] The live streaming management method provided in this application is applied to social content platforms, such as... Figure 19The diagram illustrates an architecture for a social content platform, comprising a data warehouse layer, a model inference layer, a business logic layer, and a front-end presentation layer. The data warehouse layer stores data generated within the social content platform, including but not limited to account information, live stream records, sales records of live-streamed products, published content, live stream announcements, and data displayed on the live stream management page and live stream plan creation page. The model inference layer includes a multi-channel product selection recall model and a content generation model. The multi-channel product selection recall model can automatically generate a precise product recommendation list based on recent consumer preference data. The content generation model can generate incentive-based comparative copy based on multi-dimensional data comparisons of benchmark buyers, driving buyers to proactively address gaps. For buyers, during the pre-live stream preparation stage, the model inference layer, in collaboration with the data warehouse, can automatically complete tasks such as benchmark buyer matching, single-session GMV target breakdown, intelligent inventory planning, generation of traffic generation and reservation strategies, and calculation of marketing coupon amounts, thereby improving the quality of live stream preparation and GMV achievement rate. The model inference layer also includes a content interpretation model and a live stream cover interpretation model. The content interpretation model extracts the characteristics of published content and generates creation suggestions, while the live stream cover interpretation model extracts the characteristics of live stream covers and generates interpretation results. The business logic layer handles processing related to business logic. The front-end presentation layer displays the live stream management page and the live stream plan creation page.

[0182] Corresponding to the live streaming management method provided in this application, Figure 20 The document provides a timeline flowchart for social content platforms, including:

[0183] In offline server mode, note recall model is used to recall note examples, and cover recall model is used to recall cover examples.

[0184] The client displays a live streaming management page, which includes a comparison information area and an entry point for creating a live streaming plan. The comparison information area includes comparison information between the current account and a reference account of the current account in at least one live streaming dimension, as well as live streaming suggestions determined based on the comparison information.

[0185] For example, the client displays a live streaming management page, and the list page displays a list of planned activities. The list page can display monthly targets pre-calculated by the server, benchmark comparison text generated by the server, and a list of similar buyers. Monthly targets, benchmark buyers, and similar buyer lists can be updated at T+1, where T represents the current period, and the T+1 update will be performed in the next period.

[0186] After the client fills in the title, start time, live stream duration, and sales target, it submits the information to the server. The server then generates and returns live stream product suggestions, live stream preview suggestions, and live stream promotion suggestions in real time. The client displays the progress information corresponding to these suggestions, such as progress bars for product value, reservations, and marketing.

[0187] The server can recommend multiple product recommendations with different priorities through an intelligent product selection model (i.e., a multi-path product selection recall model, which belongs to AI models). For example, three sets of fan preference pallets (updated T+1). The client can query the pallet value and inventory diagnosis in real time. The server returns the current value and inventory status of the selected products. The client can display pallet diagnosis reminders and display the product list associated with the product recommendation items (i.e., display the fan preference pallet drawer).

[0188] Live streaming traffic generation includes creating previews and publishing appointment notes. The server offline recalls high-quality notes and cover examples, distributes them according to sorting rules, and the client can view high-quality notes and cover examples. The client can initiate real-time traffic generation diagnostics, and the server calculates and returns results based on preview configuration status and historical data. The client can display traffic generation diagnostic reminders.

[0189] Conversion improvement includes creating fan coupons (coupons issued by buyers to viewers in the live broadcast room to improve conversion rates) and opening shopping fan groups. The server can calculate the marketing coupon budget gap in real time, and the client can display marketing diagnostic results, including coupon budget, number of coupons, and face value suggestions.

[0190] Typically, buyers need to complete preparations before going live, including creating a live stream plan. The live stream plan includes setting GMV sales targets, planning inventory (product selection and stocking), publishing appointment notes to attract traffic, and setting up marketing coupons. However, the creation of traditional live streaming plans suffers from the following problems: 1) Lack of personalized target references: Buyers need to set their own GMV targets when creating live streaming plans, but lack data support. The targets are arbitrary, failing to serve as incentives or benchmarks for subsequent execution. The root cause is the significant differences in fan profiles, main business sectors, and historical data among different buyers, making general suggestions unable to meet personalized needs; 2) Disconnect between targets and execution actions: Even with GMV targets set, buyers don't know how to break them down into inventory value targets, reservation target numbers, and marketing budget targets, resulting in "having targets but no action path." The root cause is the lack of systematic tools to map abstract targets to specific business actions; 3) Lack of data support for product selection decisions: Product selection mainly relies on personal experience, failing to systematically analyze fan consumption preferences, leading to a mismatch between product selection and fan needs, and a low fan conversion rate. The root cause is the failure of fan preference data to structurally serve the product selection decision-making process; 4) Lack of transparency in peer benchmarking information: Buyers cannot easily access the operating data of high-quality buyers in the same sector and at the same level, lacking competitive drive. The root cause is the lack of standardized peer benchmarking matching and presentation mechanisms on the platform.

[0191] The live streaming management method provided in this application automatically matches buyers with benchmark buyers at the same level based on fan profile similarity and category tags. It offers personalized monthly GMV target references and automatically breaks down single-session GMV targets into inventory value targets, reservation numbers targets, and marketing budget targets, providing specific execution suggestions. Based on recent fan consumption preference data and an AI product selection and recall model, it automatically generates a precise product recommendation list. Through multi-dimensional data comparison with benchmark buyers, it generates incentive-based comparative copy through a large model, driving buyers to proactively address gaps. This provides guidance for editing live streaming plans, making it easier to achieve plan goals and thus improving the accuracy of live streaming plans.

[0192] The live streaming management method provided in this application employs a layered strategy of track affiliation, star group differentiation, comprehensive similarity pool screening, and four-level priority matching. This strategy precisely identifies "reachable" benchmark buyers for each buyer among the massive pool of buyers across the platform, preventing benchmark buyers from being too strong (losing their motivational value) or too weak (lacking leadership effect), effectively driving buyers to proactively catch up. A personalized incentive copy generation mechanism driven by a large model inputs the multi-dimensional operational data of benchmark buyers into the large model, dynamically selecting positively comparable angles from multiple preset perspectives. This ensures that each comparative copy is motivating (the gap exists but is not unattainable), and automatically switches to the next benchmark buyer when no suitable copy is found, guaranteeing output quality. A multi-dimensional automatic decomposition system for single-session GMV targets based on historical operational data automatically breaks down the abstract GMV target into three sub-targets that buyers can directly execute (product value / reservation / marketing). These three sub-targets, or three suggestions, are: live streaming product suggestions, live streaming preview suggestions, and live streaming promotion suggestions. Each sub-target is personalized based on the buyer's recent data (e.g., the average of the last 7 sessions), avoiding a "one-size-fits-all" platform recommendation that is out of touch with reality. AI-driven product selection, based on fan consumption preferences, accurately recalls fans' consumption behavior in the past 30 days of live streams, combining similar buyers' best-selling items and historical partner merchants' products for multi-channel recall. This is presented in a structured format of category + price range + brand + product list, transforming product recommendations from "broad and vague category suggestions" to "precise recommendations with specific reasons, best-selling references, and cooperation cost considerations." Combining buyer segmentation, best-selling product thresholds, and historical sales data, real-time diagnosis of current inventory value gaps and inventory warnings is performed, proactively identifying and alerting risks before live streams, forming a closed-loop management system from "target setting → inventory planning → risk warning." Utilizing content similarity to recall high-quality appointment notes from peers with similar content styles, combined with multi-dimensional ranking indicators (e.g., CTR × component exposure click-through rate), provides buyers with creative inspiration references that match their content style, addressing the core pain point of "wanting to create but lacking inspiration." CTR is an abbreviation for Click Through Rate, which means the click-through rate.

[0193] Typically, content creators, such as bloggers, lack quantifiable creative goals and don't know who to benchmark against, how often to post, or what content is most likely to gain followers. Relying on experience and intuition leads to low creation efficiency and unstable viral content rates. The current account has the authority to create content. The target interaction page can be the creation plan page associated with the current account. Based on this, this application provides a creation management method, which includes: displaying the current account's creation plan page, which displays target creation parameters; wherein, the creation plan page includes a comparison information area and a creation progress display area. The comparison information area includes comparison information between the current account and a reference account in at least one creative dimension, as well as creation suggestion information determined based on the comparison information. The target creation parameters, comparison information, and creation suggestion information are used to determine the creation target value under at least one creative dimension. The creation progress display area displays the creation target value and progress information under at least one creative dimension.

[0194] For example, the method for determining reference accounts includes: determining a set of candidate accounts from the set of accounts based on the increase in the number of accounts followed, wherein the increase in the number of accounts followed by accounts in the candidate account set falls within the range of account increases; determining the content similarity between the current account and each account in the candidate account set, wherein the content similarity refers to the similarity in published content; and determining reference accounts from the set of candidate accounts based on the content similarity.

[0195] For example, the content creation management method further includes: displaying an entry point for viewing published content on the content creation plan page; responding to a triggered operation on the entry point for viewing published content, displaying an access point for at least one recommended published content and creation suggestions, wherein the creation suggestions are generated based on at least one recommended published content; wherein at least one recommended published content is selected from published content of accounts similar to the current account according to the degree of interaction, and the content similarity between the similar accounts and the current account is greater than a similarity threshold, where content similarity refers to the similarity in published content. For example, the recommended published content may be a popular article for reference (e.g., 5 recently popular notes of the same style recalled by the server).

[0196] For example, the creation management method further includes: when the actual completion value in the creation dimension is less than the creation target value, and the difference between the actual completion value in the creation dimension and the creation target value is greater than a preset difference, displaying an insufficient completion prompt message corresponding to the progress information in the creation dimension.

[0197] For example, such as Figure 21As shown, the terminal displays the content creation plan page associated with the current account. This page includes a content creation goal input area, where users can enter target creation parameters (e.g., the target number of followers for this month). The content creation plan page supports modifying the target goals. The server can monitor the progress of goal achievement in real time, and the terminal can display this progress, for example, "1800 followers gained, 3200 followers remaining."

[0198] The terminal can display comparative information across four creation dimensions on the creation plan page. These dimensions might be "Publish Frequency," "Interaction Rate," "Content Verticality," and "Publish Time." A target value for publication frequency could be, for example, 15 publications this month, and a target value for interaction rate could be, for example, a fan interaction target of 3%. The server can display the achievement rate (progress information) for each creation dimension, for example, an achievement rate of "42%" for the publication frequency target and "70%" for the interaction target. If the achievement rate for the publication frequency target is less than the preset achievement rate, a "Frequency Insufficient" message will be displayed. The preset achievement rate can be set according to actual needs, for example, to 70%.

[0199] For example, the server can pre-match reference accounts for the current account. The reference accounts are selected from the account set based on content similarity and the increase in followers within a reference period. For example, the reference account gained 8,000 followers within a reference period and has a content similarity of 0.85.

[0200] Typically, merchants rely on experience and intuition for product selection, lacking data support, leading to an unreasonable inventory structure (e.g., missing best-selling items or unsold inventory). Benchmark stores lack precise positioning, making it impossible to obtain accurate product selection suggestions that are "based on specific reasons, have best-selling item references, and consider cooperation costs." Based on this, this application provides a product selection method for stores, which includes: displaying a product selection assistant page for the current store, the product selection assistant page including a product recommendation area, a comparison information area, and a health area; wherein, the comparison information area displays at least one comparison information between the current store and its reference store in at least one inventory structure dimension, the product recommendation area displays product descriptions for multiple recommended products, and the health area displays the inventory health of the current store.

[0201] For example, the product selection assistant page also displays inventory optimization suggestions, including suggestions for clearing inventory and / or replenishing inventory.

[0202] For example, multiple recommended products are recalled through multiple recall strategies. The multiple recall strategies include at least two of the following strategies: recalling products based on the product preference information of the accounts followed by the current account during the recall reference period; recalling products based on the target products of similar accounts of the current account during the recall reference period; and recalling products based on the products of the historical partner merchants of the current account. The sales performance value of the target product during the recall reference period is greater than the performance threshold.

[0203] For example, the method of determining reference stores includes: selecting at least one store with the same store tag as the current store from the store set; selecting at least one candidate store from the at least one store with the same tag, wherein the candidate store has a higher amount of store resources obtained than the current store during the target historical period, and the difference between the candidate store and the current store in the amount of store resources obtained is within the range of difference.

[0204] For example, such as Figure 22 The product selection assistant page shown displays inventory optimization suggestions (e.g., 3 products with excess inventory, and blank spaces in the price range of ¥50-80), and can also display the inventory health score (e.g., 82 points).

[0205] The store's product analysis page can also display product descriptions for multiple recommended products. These recommended products are determined by analyzing the historical consumption preferences of the accounts followed by the current account. These recommended products can include key products, which are products in stores of the same type that have reached a sales threshold in a single event or a single month. Key products can be labeled, for example, as best-selling products, and the source of best-selling products can be indicated, such as "promoted by similar buyers".

[0206] The store product analysis page can also display comparison information, which is generated based on the differences between the inventory in the current store and the inventory in the reference store. For example, it can generate comparison information under at least two inventory structure dimensions. The at least two inventory structure dimensions can be, but are not limited to, the proportion of main products, the proportion of traffic-driving products, or the proportion of profit-generating products.

[0207] Typically, local businesses lack professional event planning or operational capabilities. They don't know which stores in the city to benchmark against, how many group-buying coupons to offer, or how many posts to publish to achieve their traffic targets. Event planning relies entirely on experience, leading to inconsistent results. This application provides a marketing management method applicable to local life or map-based scenarios. The marketing management method includes: displaying a marketing management page corresponding to the current store's target event. The target event has target event parameters used to determine the marketing target value under at least one marketing method. The marketing management page includes a comparison information area and a marketing progress display area. The comparison information area includes comparison information between the current store and a reference store in at least one marketing dimension, as well as marketing suggestions determined based on the comparison information. The marketing progress display area displays the marketing target value and progress information under at least one marketing method.

[0208] For example, the target activity is used to launch a new product, and the marketing management also includes: displaying an entry point for viewing the launched content on the marketing management page; in response to a trigger operation on the entry point for viewing the launched content, displaying an access point for at least one recommended launched content and creation suggestions, the creation suggestions being generated based on at least one recommended launched content; wherein, at least one recommended launched content is selected from group-buying launched content of similar products to the new product according to the degree of interaction, and the group-buying launched content is used for group-buying similar products.

[0209] For example, the reference store is selected from multiple local stores of the current store, and the reference account is determined based on any of the following: determining the store ratings of multiple local stores and selecting the reference store from the multiple local stores based on the store ratings; or, determining the average order value of multiple local stores and selecting the reference store from the multiple local stores based on the average order value; or, determining the user profile features corresponding to each of the multiple local stores, determining the profile similarity between each local store and the current store in terms of user profile features, and selecting the reference store from the multiple local stores based on the profile similarity.

[0210] For example, such as Figure 23 The marketing management page, as shown, displays marketing target values ​​for at least one marketing method derived from the target activity parameters when the activity type (e.g., new product launch) and target activity parameters (e.g., 200 visitors) are entered. For example, it might automatically break down the target into 300 group-buying coupons (150% redundancy), suggest publishing 8 lead generation notes, and a marketing budget of ¥2000 (suggesting a 10% discount coupon). The page can also display the current progress of each marketing method using a progress card. Stores can be, but are not limited to, restaurants, cafes, or beauty salons. Reference stores can be determined based on at least one of the following: ratings, average order value, or fan profile similarity.

[0211] The marketing management page displays at least one comparative piece of information between the reference store and the current store. For example, the comparative information could be, "The number of appointment-driven traffic articles is 60% less than the benchmark, which is a key gap." Here, the reference store is the benchmark store; the reference store and the current store have a category similarity threshold, and the reference store has more customer traffic than the current store. If the campaign plan does not associate virtual resources (such as in-store coupons), an impact warning can be displayed on the campaign plan page, such as, "No in-store coupons associated, expected to reduce conversion by 30%." The campaign plan page can also display a content viewing entry for recommended posts. In response to triggering actions on this entry, recommended posts and content creation paradigms generated based on them can be displayed. Recommended posts could be, for example, recent highly interactive group-buying notes from the same city and category.

[0212] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0213] Based on the same inventive concept, this application also provides a live streaming management device for implementing the live streaming management method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more live streaming management device embodiments provided below can be found in the limitations of the live streaming management method described above, and will not be repeated here.

[0214] In one exemplary embodiment, such as Figure 24 As shown, a live streaming management device is provided, including: a first display module 2402 and a second display module 2404, wherein:

[0215] The first display module 2402 is used to display the live streaming management page, which includes a comparison information area and an entry point for creating a live streaming plan. The comparison information area includes comparison information between the current account and a reference account of the current account in at least one live streaming dimension, as well as live streaming suggestion information determined based on the comparison information. The live streaming suggestion information is used to recommend live streaming parameters for the current account's next live stream.

[0216] The second display module 2404 is used to display a live streaming plan creation page in response to inputting target live streaming parameters based on the creation entry. The target live streaming parameters are used to determine the live streaming product suggestions and live streaming preview suggestions for the current account. The live streaming plan creation page includes at least a live streaming product management area and a live streaming preview management area. The live streaming product management area displays product addition guidance information determined based on the live streaming product suggestions and is used to add live streaming products. The live streaming preview management area displays preview release guidance information determined based on the live streaming preview suggestions and is used to release live streaming previews.

[0217] In one exemplary embodiment, a live streaming dimension filtering device is provided, comprising:

[0218] The first processing module is used to obtain the first dimension value of the current account in multiple live streaming dimensions, and to obtain the second dimension value of the reference account of the current account in multiple live streaming dimensions. Each live streaming dimension has a different dimension priority and each live streaming dimension has a selection condition.

[0219] The second processing module is used to traverse multiple live streaming dimensions according to their respective dimension priorities. For the current live streaming dimension, it determines whether the selection conditions of the current live streaming dimension are met based on the first and second dimension values. If not, it continues to traverse. If it is met and the preset traversal stop condition is reached, it stops traversing and obtains at least one live streaming dimension that meets the corresponding selection conditions.

[0220] In one exemplary embodiment, a creative management device is provided, including: a creative plan page display module, used to display the creative plan page of the current account, wherein the creative plan page displays target creative parameters; wherein the creative plan page includes a comparison information area and a creative progress display area, the comparison information area includes comparison information between the current account and a reference account of the current account in at least one creative dimension, and creative suggestion information determined based on the comparison information, the target creative parameters, the comparison information and the creative suggestion information are used to determine the creative target value under at least one creative dimension, and the creative progress display area displays the creative target value and progress information under at least one creative dimension.

[0221] In one exemplary embodiment, a store product selection device is provided, including: displaying a product selection assistant page for the current store, the product selection assistant page including a product recommendation area, a comparison information area, and a health area; wherein, the comparison information area displays at least the comparison information between the current store and a reference store of the current store in at least one inventory structure dimension, the product recommendation area displays product description items of multiple recommended products, and the health area displays the inventory health of the current store.

[0222] In one exemplary embodiment, a marketing management device is provided, comprising: a marketing management page display module, configured to display a marketing management page corresponding to a target activity of the current store, wherein the target activity has target activity parameters, and the target activity parameters are used to determine a marketing target value under at least one marketing method; wherein the marketing management page includes a comparison information area and a marketing progress display area, the comparison information area includes comparison information between the current store and a reference store of the current store in at least one marketing dimension, and marketing suggestion information determined based on the comparison information, and the marketing progress display area displays the marketing target value and progress information under at least one marketing method.

[0223] Each module in the above-mentioned device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0224] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 25 As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores at least a portion of the data involved in the live broadcast management method. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements a live broadcast management method.

[0225] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 26 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements one of the aforementioned methods. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0226] Those skilled in the art will understand that Figure 25 and Figure 26 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0227] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0228] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0229] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0230] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0231] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0232] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0233] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A live streaming management method, characterized in that, The method includes: The live streaming management page is displayed, which includes a comparison information area and an entry point for creating a live streaming plan. The comparison information area includes comparison information between the current account and a reference account of the current account in at least one live streaming dimension, as well as live streaming suggestion information determined based on the comparison information. The live streaming suggestion information is used to recommend live streaming parameters for the current account's next live stream. In response to inputting target live streaming parameters based on the creation entry, a live streaming plan creation page is displayed; wherein, the target live streaming parameters are at least used to determine the live streaming product suggestions and live streaming preview suggestions for the current account, and the live streaming plan creation page includes at least a live streaming product management area and a live streaming preview management area, wherein the live streaming product management area displays product addition guidance information determined according to the live streaming product suggestions and is used to add live streaming products, and the live streaming preview management area displays preview release guidance information determined according to the live streaming preview suggestions and is used to release live streaming previews.

2. The method according to claim 1, characterized in that, The suggested number of times a live broadcast announcement is published is a suggested number of times for the content to be published in advance, which is used to schedule a live broadcast. The suggested release quantity is determined based on the target resource quantity in the target live stream parameters and the reservation conversion rate under the current account. The reservation conversion rate is used to reflect the proportion of successfully converted reservation accounts among multiple reservation accounts. The multiple reservation accounts include reservation accounts in multiple live streams with reservations under the current account. The reservation accounts are accounts that have reservation interaction behavior with the live streams with reservations.

3. The method according to claim 1, characterized in that, The target live streaming parameters are also used to determine live streaming promotion suggestions. The live streaming promotion suggestions include at least one of promotion resource quota and virtual resource quantity. The promotion resource quota is allocated from the target resource quantity in the target live streaming parameters and is used to promote the live stream corresponding to the live streaming plan. The quantity of virtual resources is determined based on the promotional resource quota and the resource amount represented by the virtual resources. The resource amount is determined based on at least one of the account level of the current account and the primary product category associated with the current account.

4. The method according to claim 3, characterized in that, The method further includes at least one of the following: Display the progress information of the suggested products in the live stream; or... Display the progress information of the suggested live broadcast schedule; or... Displays the progress information of the suggested live stream promotion.

5. The method according to any one of claims 1 to 4, characterized in that, The live streaming management page also displays incentive information for a target time period, including the estimated amount of live streaming resources the current account will receive during that target time period; the method further includes any one of the following: The current account belongs to the first type of account, and the incentive information includes information reflecting the changing trend of product demand under at least one product category associated with the current account; or, The current account belongs to the second type of account, and the incentive information includes information reflecting the changing trend of conversion intentions of the accounts followed by the current account.

6. The method according to any one of claims 1 to 4, characterized in that, The product addition guidance information includes multiple product recommendation items with different priorities; the method also includes: In response to a triggered operation on the product recommendation item, a list of products associated with the product recommendation item is displayed; the product list is used to add products to the live streaming plan. The methods for generating the product recommendations include: analyzing the live streaming participation preferences of the accounts followed by the current account in historical time periods; or analyzing the products recommended by similar accounts of the current account in live streams; or analyzing the products of the current account's historical partner merchants.

7. The method according to any one of claims 1 to 4, characterized in that, The target live streaming parameters include the target resource quantity; the method further includes: The live stream plan creation page displays adjustment strategies for the live stream plan, including product replenishment suggestions and inventory replenishment reminders for key products in the live stream plan. The product replenishment suggestion is displayed when the total product resource quantity in the live broadcast plan is less than the resource quantity threshold, and the resource quantity threshold is higher than the target resource quantity; The inventory replenishment alert is displayed when the inventory of the key product in the live broadcast plan is less than the inventory threshold.

8. The method according to any one of claims 1 to 4, characterized in that, The method further includes: The live stream plan creation page displays a posting prompt and a viewing portal for the posted content. The posting prompt is used to prompt for the posting of scheduled content, the scheduled content is used to provide an entry point for scheduling a live stream, and the viewing portal for the posted content is used to view recommended scheduled content. The recommended content for scheduled releases is selected from the historical scheduled releases of accounts with similar content. These similar accounts are selected from multiple candidate accounts based on content similarity, where the content similarity reflects the similarity between the candidate account and the current account in terms of released content; or, The recommended reservation content is selected from the historical reservation content of parallel accounts, and the parallel accounts are associated with the current account in the same product category.

9. The method according to any one of claims 1 to 4, characterized in that, The method further includes: On the live stream plan creation page, recommended cover and target generated content are displayed. The recommended cover is the cover set by the first historical live stream of the account with similar content. The first historical live stream is a live stream within a reference time period and has at least two covers. The interaction degree of the first historical live stream is greater than the interaction degree of the second historical live stream of the account with similar content, and the second historical live stream occurred before the first historical live stream. The target content is generated based on the live stream details information of the first historical live stream.

10. The method according to any one of claims 1 to 4, characterized in that, The live streaming plan is associated with live streaming preview content, which is used to preview the live streams corresponding to the live streaming plan. The method further includes: On the live stream plan creation page, preview optimization information corresponding to the live stream preview content is displayed; The conditions for displaying the preview optimization information include at least one of the following: the live broadcast preview content is not associated with a product, the live broadcast preview content is not associated with reservation incentive virtual resources, and the live broadcast preview content is not associated with published content.

11. The method according to any one of claims 1 to 4, characterized in that, The live streaming plan creation page also includes a live streaming assistant settings area corresponding to the live streaming assistant. The live streaming assistant is used to provide a first service and / or a second service. The first service is used to analyze live streaming data during the live streaming process to generate product recommendation information and / or product explanation strategy information. The second service is used to identify target comment content and provide a reply panel during the live streaming process. The reply panel displays reply content generated for the target comment content and is used to send the reply content. The target comment content is filtered according to the conversion intent intensity of the comment content. The method further includes: In response to an assistant activation operation triggered in the live assistant settings area, a live assistant activation panel is displayed, which displays introductory information for the first service and / or the second service. In response to the assistant start operation triggered by the live assistant start panel, the live assistant is started.

12. The method according to claim 1, characterized in that, The reference account is determined based on any of the following: Multiple first candidate accounts are selected from multiple accounts with the same tags of the current account. A reference account is determined from the multiple first candidate accounts. The first candidate account has a greater amount of live streaming resources obtained than the current account in the first historical period, and the relative difference between the first candidate account and the current account in the amount of live streaming resources obtained in the first historical period is within the difference range. or, Multiple second candidate accounts are selected from multiple accounts with the same tags of the current account. A reference account is determined from the multiple second candidate accounts. The second candidate account has a greater amount of live streaming resources obtained than the current account in the second historical period. The second candidate account has at least one live streaming product in the second historical period that meets the threshold for the total amount of product resources obtained. The second historical period is longer than the first historical period. or, Determine the content similarity between the current account and each account in the first account set. Select a sub-account set from the first account set in descending order of content similarity. From multiple third candidate accounts in the sub-account set that have a greater amount of live streaming resources obtained than the current account in the third historical time period, determine a reference account. The accounts in the first account set do not have the same account tags as the current account; or... Determine the content similarity between the current account and each account in the second account set. Select multiple fourth candidate accounts from the second account set in descending order of content similarity. Determine reference accounts from the multiple fourth candidate accounts based on the amount of live streaming resources obtained in the fourth historical time period. The second account set includes accounts that are consistent with and inconsistent with the current account in terms of account tags.

13. An account screening method applied to any of the live streaming management methods described in claims 1 to 12, characterized in that, The account screening method includes: Determine the account tags for the current account, and identify the set of similar accounts from the account set. Multiple search strategies are executed in order of execution priority until a reference account for the current account is found. Each search strategy is used to find a reference account for the current account, and each search strategy has a different execution priority. The plurality of search strategies include at least one of a first search strategy and a second search strategy. The first search strategy is a strategy for finding the reference account based on account tags and the set of similar accounts, and the second search strategy is a strategy for finding the reference account based on account tags and the set of accounts.

14. The method according to claim 13, characterized in that, The execution process of the first search strategy includes: From the set of similar accounts, find similar accounts with the same tags as the current account, determine the first relative difference value of the number of live streaming resources obtained by the similar accounts with the same tags relative to the current account within the reference time period, and find the reference account of the current account from the similar accounts with the same tags based on the first relative difference value. The execution process of the second search strategy includes: Search the account set for accounts with the same tags as the current account, determine the second relative difference value of the live streaming resource acquisition of the accounts with the same tags relative to the current account within the reference time period, and search for the reference account of the current account from the accounts with the same tags based on the second relative difference value.

15. The method according to claim 13, characterized in that, Determining the set of similar accounts for the current account from the account set includes: For each account in the account set, the similarity between the account and the current account in terms of published content features is determined, and the content similarity corresponding to the account is obtained. The published content features of the current account are obtained by feature extraction from multiple published content under the current account. Determine the similarity between the account and the current account in terms of followed account features, and determine the similarity of the account's following features. The followed account features of the current account are obtained by feature extraction of the account description information of multiple followed accounts of the current account. A comprehensive similarity score is determined based on the content similarity and the attention similarity. Based on comprehensive similarity, similar accounts to the current account are selected from the account set to obtain a set of similar accounts to the current account.

16. The method according to claim 13, characterized in that, The process of determining the account tags for the current account includes: Find the account tags associated with the current account; If not found, the product resource acquisition volume of the products sold by the current account in the historical period will be aggregated according to the product category to obtain the aggregated resource volume corresponding to at least one product category. The products sold in the live broadcast refer to products sold through live broadcast. The target product category is determined from the at least one product category based on the aggregated resource volume; From the category mapping relationship, find the account tag associated with the target product category and use it as the account tag for the current account. The category mapping relationship includes the association relationship between various product categories and account tags.

17. A live streaming dimension filtering method applied to any of the live streaming management methods described in claims 1 to 12, characterized in that, The live stream dimension filtering method includes: Get the first dimension value of the current account in multiple live streaming dimensions, and get the second dimension value of the reference account of the current account in the multiple live streaming dimensions. Each live streaming dimension has a different dimension priority and each live streaming dimension has a selection condition. According to the dimension priority corresponding to the multiple live streaming dimensions, the multiple live streaming dimensions are traversed. For the current live streaming dimension, it is determined whether the selection condition of the current live streaming dimension is met based on the first dimension value and the second dimension value of the current live streaming dimension. If it is not met, the traversal continues. If it is met and the preset traversal stop condition is reached, the traversal stops, and at least one live streaming dimension that meets the corresponding selection condition is obtained.

18. The method according to claim 17, characterized in that, The multiple live streaming dimensions include at least one of the following: total resource volume, live streaming activity, product matching degree, product concentration, average resource transfer volume, resource volume ratio, reservation account ratio, and average reservation content volume. The total resource volume refers to the amount of resources obtained through live streaming within the reference period. The live streaming activity is positively correlated with the number of live streams and / or the average live streaming duration within the reference period. The product matching degree is used to reflect the degree of matching between recommended products and followed users in the live broadcast within the reference time period. The product concentration degree is used to reflect the proportion of target recommended products that meet the target conditions in the live broadcast within the reference time period. The target conditions include the amount of resources obtained in a single live broadcast being greater than the resource amount threshold. The average resource transfer amount is used to reflect the average amount of resources transferred in a single conversion during the live broadcast within the reference time period. The resource amount ratio is used to reflect the contribution of the reservation account to the total resource amount. The reservation account is an account that has reservation interaction behavior during the live broadcast within the reference time period. The percentage of reserved accounts represents the proportion of reserved accounts among the interactive accounts from which the total resources originate. The average amount of reserved content represents the average number of reserved content posts corresponding to each live stream within the reference time period. The reserved content posts are used to reserve live streams.

19. The method according to claim 18, characterized in that, The method further includes at least one of the following: The selection criteria for the live streaming activity include: the difference between the current account and the reference account in the number of live streams reaches a threshold, and / or the difference between the current account and the reference account in the average live streaming duration reaches a threshold. The selection criteria for the product matching degree include: the current account has a lower product matching degree than the reference account, and the difference in product matching degree reaches the first proportion difference threshold. The selection criteria for the product concentration include: the current account has a lower product concentration than the reference account, and the difference in product concentration reaches the second proportion difference threshold. The selection criteria for the average resource transfer amount include: the current account has a lower average resource transfer amount than the reference account, and the difference in average resource transfer amount reaches the transfer difference threshold. The selection criteria for the resource quantity ratio include: the current account has a lower resource quantity ratio than the reference account, and the difference in resource quantity ratio reaches the third ratio difference threshold. The selection criteria for the percentage of reservation accounts include: the current account has a lower percentage of reservation accounts than the reference account, and the difference in the percentage of reservation accounts reaches the fourth percentage difference threshold. The selection criteria for the average amount of reservation content include: the current account has a lower average amount of reservation content than the reference account, and the difference in the average amount of reservation content reaches a quantity difference threshold.

20. A content creation management method applied to any one of the live streaming management methods described in claims 1 to 12, characterized in that, The creation management method includes: Displays the current account's creation plan page, which shows the target creation parameters; The creation plan page includes a comparison information area and a creation progress display area. The comparison information area includes comparison information between the current account and a reference account of the current account in at least one creation dimension, as well as creation suggestion information determined based on the comparison information. The target creation parameters, the comparison information, and the creation suggestion information are used to determine the creation target value under the at least one creation dimension. The creation progress display area displays the creation target value and progress information under the at least one creation dimension.

21. The method according to claim 20, characterized in that, The methods for determining the reference account include: A candidate account set is determined from the account set based on the increase in the number of accounts followed, wherein the increase in the number of accounts followed by the accounts in the candidate account set falls within the range of account increases. Determine the content similarity between the current account and each account in the candidate account set, where the content similarity refers to the similarity in published content; Reference accounts are determined from the set of candidate accounts based on content similarity.

22. The method according to claim 20, characterized in that, The method further includes: The creation plan page displays an entry point for viewing published content; In response to a triggered operation on the published content viewing entry, at least one access entry for recommended published content and creation suggestions are displayed, the creation suggestions being generated based on the at least one recommended published content; The at least one recommended content is selected from the published content of accounts similar to the current account based on the degree of interaction. The content similarity between the content similar accounts and the current account is greater than a similarity threshold. The content similarity refers to the similarity in published content.

23. The method according to claim 20, characterized in that, The method further includes: If the actual completion value in the creation dimension is less than the creation target value, and the difference between the actual completion value in the creation dimension and the creation target value is greater than a preset difference, an incomplete completion prompt message will be displayed corresponding to the progress information in the creation dimension.

24. A store product selection method applied to any of the live streaming management methods described in claims 1 to 12, characterized in that, The store product selection methods include: Displays the current store's product selection assistant page, which includes a product recommendation area, a comparison information area, and a health status area; The comparison information area displays at least one comparison information between the current store and its reference store in at least one inventory structure dimension; the product recommendation area displays product descriptions for multiple recommended products; and the health area displays the inventory health of the current store.

25. The method according to claim 24, characterized in that, The product selection assistant page also displays inventory optimization suggestions, including suggestions for clearing inventory and / or replenishing inventory.

26. The method according to claim 24, characterized in that, The multiple recommended products are recalled through multiple recall strategies. The multiple recall strategies include at least two of the following strategies: recalling products based on the product preference information of the accounts followed by the current account during the recall reference period; recalling products based on the target products of similar accounts of the current account during the recall reference period; and recalling products based on the products of the historical partner merchants of the current account. The sales performance indicator value of the target product during the recall reference period is greater than the performance indicator threshold.

27. The method according to claim 24, characterized in that, The methods for determining the reference store include: Select at least one store from the store collection that has the same tag as the current store; From the at least one store with consistent tags, at least one candidate store is selected, wherein the candidate store has a higher amount of store resources obtained than the current store during the target historical period, and the difference between the candidate store and the current store in the amount of store resources obtained is within the range of difference.

28. A marketing management method based on the live streaming management method according to any one of claims 1 to 12, characterized in that, The marketing management methods include: The marketing management page displays the target activity of the current store. The target activity has target activity parameters, which are used to determine the marketing target value under at least one marketing method. The marketing management page includes a comparison information area and a marketing progress display area. The comparison information area includes comparison information between the current store and a reference store of the current store in at least one marketing dimension, as well as marketing suggestion information determined based on the comparison information. The marketing progress display area displays the marketing target value and progress information under the at least one marketing method.

29. The method according to claim 28, characterized in that, The target activity is used to launch a new product, and the method further includes: The marketing management page displays an entry point for viewing published content; In response to a triggered operation on the published content viewing entry, at least one access entry for recommended published content and creation suggestions are displayed, the creation suggestions being generated based on the at least one recommended published content; The at least one recommended content is selected from the group-buying content of similar products to the new product according to the degree of interaction, and the group-buying content is used for group-buying the similar products.

30. The method according to claim 28, characterized in that, The reference store is selected from multiple local stores of the current store, and the reference account is determined based on any of the following: Determine the store ratings of the multiple local stores, and select a reference store from the multiple local stores based on the store ratings; or, Determine the average order value of the multiple local stores, and select a reference store from the multiple local stores based on the average order value; or, Determine the user profile features corresponding to the multiple local stores, determine the profile similarity between each local store and the current store in terms of user profile features, and select a reference store from the multiple local stores based on the profile similarity.

31. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 30.

32. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 30.

33. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 30.

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