Interaction method and device of resource recommendation live broadcast room, electronic equipment and storage medium

Abstract

The invention relates to an interaction method and device of a resource recommendation live broadcast room, electronic equipment and a storage medium. The method comprises the following steps: generating first interaction auxiliary content according to account description information and resource object description information associated with a target live broadcast account; the resource object description information is description information of a resource object provided by a resource recommendation live broadcast room where the target live broadcast account is located; the first interaction auxiliary content comprises live broadcast elements used for assisting the target live broadcast account to interact in the resource recommendation live broadcast room; in response to the start of a live broadcast interaction event in the resource recommendation live broadcast room, updating the first interaction auxiliary content according to the interaction state information of the resource recommendation live broadcast room to obtain second interaction auxiliary content; the second interaction auxiliary content is used for prompting the target live broadcast account to execute an interaction operation matched with the interaction state information. According to the invention, live broadcast cost and live broadcast difficulty can be reduced.

Description

Technical Field

[0001] This disclosure relates to the field of artificial intelligence technology, and in particular to interactive methods, devices, electronic devices, and storage media for resource recommendation live streaming rooms. Background Technology

[0002] With the advancement of network communication technology and the development of multimedia technology, video live streaming technology has seen increasing development and application, leading to the emergence of resource recommendation live streaming rooms, where streamer accounts can recommend resource objects (such as products).

[0003] In related technologies, broadcasters typically need to write a live stream script before starting, allowing them to follow the script throughout the broadcast. However, this places very high demands on the broadcaster's personal abilities and professional skills, making it costly and difficult for ordinary people. Therefore, how to reduce the cost and difficulty of live streaming while ensuring the quality of the content has become a pressing issue for those skilled in the art. Summary of the Invention

[0004] This disclosure provides an interactive method, apparatus, electronic device, and storage medium for resource recommendation live streaming rooms, aiming to at least address the issues of reducing live streaming costs and difficulties in related technologies. The technical solution of this disclosure is as follows:

[0005] According to a first aspect of the present disclosure, an interactive method for a resource recommendation live streaming room is provided, comprising:

[0006] Based on the account description information and resource object description information associated with the target live streaming account, first interactive auxiliary content is generated; the resource object description information is the description information of resource objects provided by the resource recommendation live streaming room where the target live streaming account is located; the first interactive auxiliary content includes live streaming elements used to assist the target live streaming account in interacting in the resource recommendation live streaming room;

[0007] In response to the start of a live interaction event in the resource recommendation live room, the first interactive assistance content is updated according to the interaction status information of the resource recommendation live room to obtain the second interactive assistance content; the second interactive assistance content is used to prompt the target live account to perform an interactive operation that matches the interaction status information.

[0008] In one possible implementation, updating the first interactive auxiliary content based on the interactive status information of the recommended live stream room to obtain the second interactive auxiliary content includes:

[0009] If the interaction status information meets the auxiliary content update conditions, determine the interaction operation optimization information that matches the auxiliary content update conditions; the interaction operation optimization information is used to indicate the interaction operation that matches the interaction status information.

[0010] The first interactive assistance content is updated based on the interactive operation optimization information to obtain the second interactive assistance content.

[0011] In one possible implementation, the auxiliary content update conditions include preset interaction indicator data; the method further includes:

[0012] According to the data processing rules corresponding to the preset interaction index data, the interaction status information is parsed and processed to obtain the interaction index data corresponding to the resource recommendation live room.

[0013] If the interaction indicator data corresponding to the resource recommendation live broadcast room matches the preset interaction indicator data, it is determined that the interaction status information meets the auxiliary content update conditions.

[0014] In one possible implementation, the auxiliary content update conditions include a combination of at least two preset interaction indicator data; the step of determining that the interaction status information satisfies the auxiliary content update conditions when the interaction indicator data corresponding to the resource recommendation live stream matches the preset interaction indicator data includes:

[0015] If the interaction indicator data corresponding to the resource recommendation live broadcast room matches all the preset interaction indicator data in the auxiliary content update conditions, it is determined that the interaction status information satisfies the auxiliary content update conditions.

[0016] In one possible implementation, the auxiliary content update conditions include a combination of at least two preset interaction indicator data; the step of determining that the interaction status information satisfies the auxiliary content update conditions when the interaction indicator data corresponding to the resource recommendation live stream matches the preset interaction indicator data includes:

[0017] If the interaction indicator data corresponding to the resource recommendation live broadcast room matches at least one of the preset interaction indicator data in the auxiliary content update conditions, it is determined that the interaction status information satisfies the auxiliary content update conditions.

[0018] In one possible implementation, the preset interaction indicator data includes interaction indicators and corresponding data matching rules; the method further includes:

[0019] If the interaction metric data corresponding to the resource recommendation live stream meets the data matching rules of the preset interaction metric data, then the interaction metric data corresponding to the resource recommendation live stream is determined to match the preset interaction metric data.

[0020] In one possible implementation, generating the first interactive auxiliary content based on the account description information and resource object description information associated with the target live streaming account includes:

[0021] Obtain the account description information and resource object description information associated with the target live streaming account;

[0022] The account description information and the resource object description information are used as reference information and combined with a preset prompt word template to obtain a target prompt word; the target prompt word is used to instruct the pre-trained interaction assistance model to output the first interaction assistance content by referring to the reference information; the pre-trained interaction assistance model is trained based on historical interaction strategy samples; the interaction effect of the historical interaction strategy samples meets preset conditions.

[0023] In one possible implementation, the method further includes:

[0024] After the live interaction event ends, obtain post-interaction information; the post-interaction information includes at least one of the following: interaction feedback information between the target live account and the audience account in the resource recommendation live room, resource transfer information for the resource object, viewing duration information of the audience account in the resource recommendation live room, and reach information of the resource recommendation live room;

[0025] The post-interaction information is input into the pre-trained interaction-assisted large model to instruct the pre-trained interaction-assisted large model to summarize and analyze the post-interaction information and generate an interaction analysis report for the live interaction event; the interaction analysis report is used to indicate the interaction effect of the live interaction event and interaction optimization suggestions.

[0026] According to a second aspect of the present disclosure, an interactive device for a resource recommendation live streaming room is provided, comprising:

[0027] The content generation unit is configured to generate first interactive auxiliary content based on the account description information and resource object description information associated with the target live streaming account; the resource object description information is the description information of resource objects provided by the resource recommendation live streaming room where the target live streaming account is located; the first interactive auxiliary content includes live streaming elements used to assist the target live streaming account in interacting in the resource recommendation live streaming room;

[0028] The content update unit is configured to respond to the start of a live interaction event in the resource recommendation live room, update the first interactive auxiliary content according to the interaction status information of the resource recommendation live room, and obtain the second interactive auxiliary content; the second interactive auxiliary content is used to prompt the target live account to perform an interactive operation that matches the interaction status information.

[0029] According to a third aspect of the present disclosure, an electronic device is provided, including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the interactive method for a resource recommendation live streaming room as described in the first aspect or any possible implementation thereof.

[0030] According to a fourth aspect of the present disclosure, a storage medium is provided that stores a computer program thereon, which, when executed by a processor, implements the interactive method for a resource recommendation live streaming room as described in the first aspect or any possible implementation thereof.

[0031] According to a fifth aspect of the present disclosure, a computer program product is provided, the program product comprising a computer program stored in a readable storage medium, wherein at least one processor of a device reads from and executes the computer program from the readable storage medium, such that the device, when executed, implements the interactive method for a resource recommendation live streaming room as described in the first aspect or any possible implementation thereof.

[0032] The technical solutions provided by the embodiments of this disclosure bring at least the following beneficial effects:

[0033] A first interactive auxiliary content is generated based on the account description information and resource object description information associated with the target live streaming account. The resource object description information is the description information of the resource objects provided by the resource recommendation live streaming room where the target live streaming account is located. The first interactive auxiliary content includes live streaming elements used to assist the target live streaming account in interacting in the resource recommendation live streaming room. In response to the start of a live streaming interaction event in the resource recommendation live streaming room, the first interactive auxiliary content is updated according to the interaction status information of the resource recommendation live streaming room to obtain a second interactive auxiliary content. The second interactive auxiliary content is used to prompt the target live streaming account to perform an interactive operation that matches the interaction status information.

[0034] Thus, before the live interaction event begins in the resource recommendation live room, based on the account description information and resource object description information associated with the target live account, a first interactive auxiliary content is pre-generated, containing live elements to assist the target live account in interacting within the resource recommendation live room. This helps the target live account intelligently arrange live content before the live stream, reducing the cost of pre-live stream preparation. During the live stream in the resource recommendation live room, the first interactive auxiliary content is updated based on the interaction status information of the resource recommendation live room to obtain a second interactive auxiliary content. This prompts the target live account to perform interactive operations matching the interaction status information, enabling adjustments to the first interactive auxiliary content before the live stream starts based on the live stream status during the live stream. This provides the target live account with a better interactive operation decision in the current live room state, effectively reducing live stream costs and difficulty while ensuring the quality and effect of the live stream content.

[0035] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0036] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure, and are not intended to unduly limit this disclosure.

[0037] Figure 1 This is an application environment diagram illustrating an interactive method for resource recommendation live streaming rooms according to an exemplary embodiment.

[0038] Figure 2 This is a flowchart illustrating an interactive method for a resource recommendation live streaming room according to an exemplary embodiment.

[0039] Figure 3 This is a schematic diagram illustrating a live streaming page of a first terminal where a target live streaming account is located, according to an exemplary embodiment.

[0040] Figure 4 This is a schematic diagram illustrating a live streaming page of a first terminal where a target live streaming account is located, according to an exemplary embodiment.

[0041] Figure 5 This is a structural diagram of a live streaming strategy orchestration and scheduling system according to an exemplary embodiment.

[0042] Figure 6 This is an interface diagram of an intelligent live broadcast orchestration system according to an exemplary embodiment.

[0043] Figure 7 This is an interface diagram of another intelligent live broadcast orchestration system according to an exemplary embodiment.

[0044] Figure 8 This is an interface diagram of an intelligent broadcast scheduling system according to an exemplary embodiment.

[0045] Figure 9 This is an interface diagram of another intelligent broadcast scheduling system according to an exemplary embodiment.

[0046] Figure 10 This is a flowchart illustrating an interactive method for a resource recommendation live streaming room according to another exemplary embodiment.

[0047] Figure 11 This is a block diagram illustrating an interactive device for a resource recommendation live streaming room according to an exemplary embodiment.

[0048] Figure 12 This is a block diagram illustrating an electronic device according to an exemplary embodiment. Detailed Implementation

[0049] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings.

[0050] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0051] It should also 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 display, data used for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties.

[0052] The interactive methods for resource recommendation live streaming rooms provided in this disclosure can be applied to, for example... Figure 1 The application environment shown.

[0053] See Figure 1The implementation environment includes a first terminal 120, a server 140, and a second terminal 160. Both the first terminal 120 and the second terminal 160 are connected to the server 140 via a wireless network or a wired network. The first terminal 120, the server 140, and the second terminal 160 are all exemplary embodiments of electronic devices.

[0054] The first terminal 120 refers to the terminal corresponding to the account that initiates the live stream. The account that initiates the live stream is also called the target live stream account, and the first terminal 120 is also called the broadcaster terminal. The first terminal 120 has live streaming supported applications installed and running, including but not limited to: short video applications, live streaming applications, shopping applications, online video applications, etc. Illustratively, the first user, i.e., the target live stream account, launches a short video application on the first terminal 120, initiates a live stream within the short video application, and the first terminal 120 uses its camera to capture the live stream data stream of the target live stream account and sends the live stream data stream to the server 140.

[0055] Server 140 provides background services to applications running on first terminal 120 or second terminal 160. Server 140 includes at least one of a single server, multiple servers, a cloud computing platform, and a virtualization center. Optionally, server 140 undertakes the primary computing work, and first terminal 120 and second terminal 160 undertake secondary computing work; or, server 140 undertakes secondary computing work, and first terminal 120 and second terminal 160 undertake primary computing work; or, server 140, first terminal 120, and second terminal 160 collaborate on computing using a distributed computing architecture.

[0056] The second terminal 160 refers to the terminal corresponding to the account watching the live stream. The account watching the live stream is also called the viewer account, and the second terminal 160 is also called the viewer terminal. The second terminal 160 has a live streaming application installed and running, which includes, but is not limited to, short video applications, live streaming applications, shopping applications, and online video applications. Illustratively, the second user, i.e., the viewer account, launches a short video application on the second terminal 160, enters a live stream of interest within the short video application, sends a resource retrieval request carrying the live stream identifier to the server 140, and receives the live stream data returned by the server 140 based on the resource retrieval request. The live stream data is then displayed in the live stream room on the second terminal 160.

[0057] Optionally, server 140 may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, and big data and artificial intelligence platforms.

[0058] Optionally, the applications installed on the first terminal 120 and the second terminal 160 are the same, or the applications installed on the two terminals are the same type of applications on different operating system platforms. The first terminal 120 and the second terminal 160 both refer to one of a plurality of terminals, and this embodiment of the disclosure only uses the first terminal 120 and the second terminal 160 as examples.

[0059] The first terminal 120 and the second terminal 160 may have the same or different device types. These device types include, but are not limited to, at least one of the following: smartphones, tablets, smart speakers, smartwatches, handheld smart devices, portable gaming devices, in-vehicle terminals, e-book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptops, or desktop computers. For example, both the first terminal 120 and the second terminal 160 may be smartphones, or the first terminal 120 may be a desktop computer and the second terminal 160 may be a smartphone.

[0060] Those skilled in the art will understand that the number of the aforementioned terminals may be more or less. For example, there may be only one terminal, or there may be dozens or hundreds of terminals, or even more. This disclosure does not limit the number of terminals or the type of device.

[0061] Figure 2 This is a flowchart illustrating an interactive method for a resource recommendation live streaming room according to an exemplary embodiment, such as... Figure 2 As shown, the interactive method of the resource recommendation live broadcast room is used in electronic devices, which can be... Figure 1 The server 140 or the first terminal 120 includes the following steps.

[0062] In step S210, the first interactive auxiliary content is generated based on the account description information and resource object description information associated with the target live streaming account.

[0063] The resource object description information refers to the description information of the resource objects provided by the resource recommendation live streaming room where the target live streaming account is located.

[0064] Among them, the resource recommendation live room refers to a live room that provides live streaming services and can recommend resources to users.

[0065] In this context, "resource object" can refer to objects such as goods and services. In practical applications, resource objects can refer to product objects on online shopping platforms. For example, the resource objects provided by a resource recommendation live stream may include discounted or featured products recommended by the live stream.

[0066] Specifically, resource description information refers to information used to describe the characteristics or attributes of a corresponding resource object. In practical applications, taking a commodity as an example, resource description information may include information such as commodity category, commodity pricing power, and commodity selling points.

[0067] Account description information refers to information used to describe the characteristics or attributes of the corresponding account, which may include account attribute information corresponding to the target live streaming account, information on accounts followed by the target live streaming account, and historical live streaming traffic information of the target live streaming account. Specifically, the account description information corresponding to the target live streaming account may include the target live streaming account's profile information (such as style and temperament, professional ability, interactive communication methods, and personal values), and resource description information corresponding to the resource objects recommended in the target live streaming account's historical live streams; the information on accounts followed by the target live streaming account refers to the attribute information of the target live streaming account's followers (such as follower count, follower shopping history, etc.); the historical live streaming traffic information of the target live streaming account may include historical live streaming traffic trend information (such as waveforms of online viewers, number of visitors, and retention rate), and historical live streaming traffic numerical information (such as basic traffic data such as exposure counts, number of visitors, and total viewing time; traffic quality data such as entry rate, average dwell time, and peak online viewers; and traffic source data such as the proportion of traffic from various channels and the proportion of new and returning users).

[0068] The first interactive auxiliary content refers to the content generated in advance before the live broadcast starts, based on the account description information and resource object description information associated with the target live broadcast account, to assist the target live broadcast account in interacting in the resource recommendation live broadcast room. It includes live broadcast elements such as live broadcast theme, live broadcast rhythm, content output, interactive design, and division of labor.

[0069] In practical applications, the first interactive auxiliary content can be named the live broadcast script. The live broadcast script can include the time allocation for each stage of the live broadcast (pre-heating, opening, product explanation, interaction, and closing), live broadcast actions, host's script (product selling points, promotional scripts, etc.), display content (product details, data charts), planning of comment section guidance, rules for distribution of benefits (such as lottery conditions, timing of coupon distribution), and contingency plans for user questions and answers. It can also be used to clarify the required materials (product samples, props), technical support (equipment debugging, back-end operation), and personnel division of labor (responsibilities of host, assistant host, and stage manager).

[0070] In practice, electronic devices can obtain account description information and resource object description information associated with the target live streaming account. Based on this information, they can pre-generate the first interactive auxiliary content before the live stream begins. For example, the account description information and resource object description information can be combined with a preset auxiliary content prompt template and input into a large model, which will then output the first interactive auxiliary content.

[0071] Taking products as the resource object as an example, by pre-generating live streaming scripts containing live streaming sales elements, the target live streaming account can intelligently arrange and guide the live streaming rhythm such as order placement, product presentation, marketing, and traffic distribution before the broadcast, thereby reducing costs and improving efficiency in pre-broadcast preparation.

[0072] Step S220: In response to the start of the live interaction event in the resource recommendation live room, update the first interactive auxiliary content according to the interaction status information of the resource recommendation live room to obtain the second interactive auxiliary content.

[0073] Among them, live streaming interactive events refer to interactive events (events) that occur during live streaming within the resource recommendation live streaming room. For example, live streaming interactive events include sales live streams, recruitment live streams, etc.

[0074] The interactive status information of the resource recommendation live stream may include one or more of the following: the current live stream screen information, the current live stream traffic information (such as the number of online viewers, the number of viewers entering, and the number of exposures), the object resource information of the resource object provided by the resource recommendation live stream, the explanation script of the target live stream account in the resource recommendation live stream, the interaction information between the target live stream account and the viewer account in the resource recommendation live stream, the account profile information of the viewer account, the task progress information of the target live stream account in the resource recommendation live stream, and the live stream duration information of the resource recommendation live stream.

[0075] The resource information provided by the resource recommendation live stream can include the number of clicks (product clicks) on the resource acquisition links provided by the viewer account, the number of acquisition requests (user orders) initiated by the viewer account for the resource acquisition objects provided by the resource recommendation live stream, and the quantity and type of the resource acquisition objects provided by the resource recommendation live stream. The interaction information between the target live stream account and the viewer account can include likes, comments, follows, virtual item gifts, etc. from the viewer account within the resource recommendation live stream. The task progress information of the target live stream account can be the task progress information associated with the live stream task, such as the live stream reaching a preset duration or the live stream sessions reaching a preset number. The live stream duration information of the resource recommendation live stream can be the duration from the start of this live stream to the current time point.

[0076] The second interactive auxiliary content is used to prompt the target live streaming account to perform interactive operations that match the interactive status information.

[0077] Interactive operations refer to the live streaming actions that the target live streaming account can perform within the resource recommendation live streaming room. Examples include interactive operations such as adding a resource object's link, adjusting the resource object list, and distributing virtual objects (e.g., red envelopes, vouchers, or prize draws with a certain amount of money). Specifically, the interactive operation of adding a resource object's link refers to the operation of binding the resource object to the resource object container (the virtual functional module in the resource recommendation live streaming room used to hold and manage resource objects) within the resource recommendation live streaming room (such as officially listing the product in the live streaming room's shopping cart).

[0078] In practice, after the live interaction event in the resource recommendation live stream begins, the electronic device can respond by acquiring the interaction status information of the resource recommendation live stream in real time. Based on this information, it dynamically adjusts the first interactive auxiliary content to obtain the second interactive auxiliary content. This second interactive auxiliary content prompts the target live stream account to perform an interactive operation matching the interaction status information. For example, if the interaction status information of the resource recommendation live stream indicates a decrease in viewership, the interactive operation could be distributing virtual objects (e.g., red envelopes, coupons, or prize draws with a certain amount of money) to attract more viewers and boost popularity. Conversely, if the interaction status information of the resource recommendation live stream indicates an increase in viewership, the interactive operation could be adding a link to a target resource object (e.g., a resource object whose profit margin meets preset conditions) and providing an explanation of the target resource object.

[0079] In the above-mentioned interactive method for resource recommendation live streaming rooms, first interactive auxiliary content is generated based on the account description information and resource object description information associated with the target live streaming account; the resource object description information is the description information of the resource object provided by the resource recommendation live streaming room where the target live streaming account is located; the first interactive auxiliary content includes live streaming elements used to assist the target live streaming account in interacting in the resource recommendation live streaming room; in response to the start of a live streaming interaction event in the resource recommendation live streaming room, the first interactive auxiliary content is updated according to the interaction status information of the resource recommendation live streaming room to obtain second interactive auxiliary content; the second interactive auxiliary content is used to prompt the target live streaming account to perform an interactive operation that matches the interaction status information.

[0080] Thus, before the live interaction event begins in the resource recommendation live room, based on the account description information and resource object description information associated with the target live account, a first interactive auxiliary content is pre-generated, containing live elements to assist the target live account in interacting within the resource recommendation live room. This helps the target live account intelligently arrange live content before the live stream, reducing the cost of pre-live stream preparation. During the live stream in the resource recommendation live room, the first interactive auxiliary content is updated based on the interaction status information of the resource recommendation live room to obtain a second interactive auxiliary content. This prompts the target live account to perform interactive operations matching the interaction status information, enabling adjustments to the first interactive auxiliary content before the live stream starts based on the live stream status during the live stream. This provides the target live account with a better interactive operation decision in the current live room state, effectively reducing live stream costs and difficulty while ensuring the quality and effect of the live stream content.

[0081] In some embodiments, updating the first interactive auxiliary content based on the interactive status information of the resource recommendation live broadcast room to obtain the second interactive auxiliary content includes: determining interactive operation optimization information that matches the auxiliary content update conditions when the interactive status information meets the auxiliary content update conditions; the interactive operation optimization information is used to indicate the interactive operation that matches the interactive status information; and updating the first interactive auxiliary content based on the interactive operation optimization information to obtain the second interactive auxiliary content.

[0082] Among them, the auxiliary content update condition is the trigger condition for updating the first interactive auxiliary content. In practical applications, the auxiliary content update condition may include trigger conditions corresponding to multiple pieces of information in the interactive state information, such as trigger conditions associated with object resource information, trigger conditions associated with interactive information, and trigger conditions associated with current live stream traffic information.

[0083] Among them, the interaction operation optimization information can be used to indicate the interaction operation that matches the interaction state information.

[0084] In specific implementation, during the process of updating the first interactive auxiliary content based on the interactive status information of the resource-recommended live stream to obtain the second interactive auxiliary content, the electronic device can determine whether the interactive status information meets the conditions for updating the auxiliary content. For example, if the number of online viewers is determined to be m (m < N) based on the current live stream traffic information of the resource-recommended live stream, and the triggering conditions associated with the current live stream traffic information include the number of online viewers being less than a preset first threshold N, then the interactive status information is determined to meet the triggering conditions associated with the current live stream traffic information; or, if the number of online viewers is determined to be decreasing based on the current live stream traffic information of the resource-recommended live stream, and the triggering conditions associated with the current live stream traffic information include the decrease in the number of online viewers, then the interactive status information is determined to meet the triggering conditions associated with the current live stream traffic information; or, if the number of online viewers is determined to be increasing based on the current live stream traffic information of the resource-recommended live stream, and the triggering conditions associated with the current live stream traffic information include the increase in the number of online viewers, then the interactive status information is determined to meet the triggering conditions associated with the current live stream traffic information. The triggering conditions are as follows: Alternatively, based on the current live stream traffic information of the resource recommendation live stream room, the number of online viewers is determined to be n (n is greater than P), and the triggering conditions associated with the current live stream traffic information include the number of online viewers being greater than a preset second threshold P for online viewers. In this case, the interaction status information is determined to meet the triggering conditions associated with the current live stream traffic information. Alternatively, based on the resource object explanation script of the target live stream account within the resource recommendation live stream room, it is determined that the target live stream account is not currently explaining a resource object, and the number of resource objects to be recommended associated with the resource recommendation live stream room is 2. The triggering conditions associated with the resource object explanation script include the number of currently explained resource objects being less than 1, and the number of resource objects to be recommended associated with the resource recommendation live stream room being greater than 1. Therefore, the interaction status information is determined to meet the triggering conditions associated with the resource object explanation script.

[0085] When the interactive state information meets the auxiliary content update conditions, the electronic device can determine the interactive operation optimization information that matches the auxiliary content update conditions. Different auxiliary content update conditions can be associated with corresponding interactive operations; the interactive operation associated with the auxiliary content update conditions met by the interactive state information is the interactive operation matched by the interactive state information. For example, if the auxiliary content update condition is that the number of online viewers increases or exceeds a preset second online viewer threshold P, the associated interactive operation can be to add a link to the target resource object (such as a resource object whose resource profit meets preset conditions); if the auxiliary content update condition is that the number of online viewers decreases or falls below a preset first online viewer threshold N, the associated interactive operation can be to distribute virtual objects (e.g., carrying a red envelope, gift certificate, or participating in a lottery); if the number of currently explained resource objects is less than 1, and the number of resource objects to be recommended associated with the resource recommendation live stream is greater than 1, the associated interactive operation can be to explain the resource objects to be recommended.

[0086] Thus, the first interactive auxiliary content can be updated based on the interactive operation optimization information to obtain the second interactive auxiliary content. Specifically, during the process of updating the first interactive auxiliary content based on the interactive operation optimization information, the live streaming action indicated by the first interactive auxiliary content can be updated accordingly. For example, if the first interactive auxiliary content indicates that the live streaming action corresponding to the next time period 'a' is to list product A (add a link to obtain product A), and it is detected that the number of online viewers has decreased or is below the preset first threshold N for online viewers, or the average viewing time per viewer is lower than that of competitors, then the live streaming action of listing product A for the upcoming next time period can be replaced with a red envelope (digital cash giveaway) action or a lottery action. In practical applications, the live streaming actions corresponding to multiple consecutive future time periods indicated by the first interactive auxiliary content can be updated. For example, continuing the previous example, the live streaming action of listing the main product B corresponding to the next time period 'b' of time period 'a' can be updated to listing the welfare product C, in order to continuously increase the traffic of the resource recommendation live streaming room. Continuing the previous example, the live streaming action of listing the welfare product D corresponding to the next time period 'c' of time period 'b' can also be updated to listing the main product E, which has a higher resource profit value, increasing the exposure of the main product E, so as to improve the resource gain data of the resource recommendation live streaming room when the traffic increases.

[0087] In practical applications, both the first and second interactive auxiliary content can be displayed on the live streaming page of the first terminal where the target live streaming account is located. For example... Figure 3As shown, a schematic diagram of a live streaming page on a first terminal where the target live streaming account is located is provided, in which interactive auxiliary content 310 can be displayed. Specifically, when there is no need to update the first interactive auxiliary content, the first interactive auxiliary content is displayed on the live streaming page of the first terminal. When the interactive status information of the resource recommendation live streaming room meets the conditions for updating the auxiliary content, the updated second interactive auxiliary content is displayed on the live streaming page of the first terminal.

[0088] The second interactive auxiliary content may include operation guidance information for interactive operations, which is used to indicate the specific operation method of the interactive operation that matches the interactive state information. The operation guidance information may include interactive operation introduction information and operation entry point for the interactive operation. For example, if the interactive operation is to list resource object E, the operation guidance information may include the explanation of resource object E and the entry point for adding resource object E. By triggering the entry point for adding resource object E, the object of resource object E can be added to the resource recommendation live room with an object acquisition link. If the interactive operation is to send a red envelope, the operation guidance information may include a control for sending a red envelope. By triggering the control for sending a red envelope, the target live account can send a red envelope in the resource recommendation live room.

[0089] The technical solution of this embodiment determines the interaction operation optimization information that matches the auxiliary content update conditions when the interaction state information meets them. The interaction operation optimization information indicates the interaction operation that matches the interaction state information. The first interaction auxiliary content is updated according to the interaction operation optimization information to obtain the second interaction auxiliary content. In this way, based on the auxiliary content update conditions met by the interaction state information of the resource recommendation live stream, the system can intelligently recommend interaction operations that match the interaction state information, update the first interaction auxiliary content through the interaction operation optimization information, and promptly prompt the target live stream account to perform the interaction operation that matches the interaction state information. This eliminates the need for the target live stream account to independently judge and determine the interaction operation, reducing the difficulty of live streaming.

[0090] In some embodiments, the auxiliary content update conditions include preset interaction indicator data; the method further includes: parsing and processing the interaction status information according to the data processing rules corresponding to the preset interaction indicator data to obtain the interaction indicator data corresponding to the resource recommendation live broadcast room; and determining that the interaction status information meets the auxiliary content update conditions when the interaction indicator data corresponding to the resource recommendation live broadcast room matches the preset interaction indicator data.

[0091] The preset interaction metrics data refers to the metrics data associated with the interaction metrics. These interaction metrics include, but are not limited to, traffic metrics associated with live stream traffic information (such as the number of online viewers, the number of viewers entering, the number of exposures, and the average viewing time), object metrics associated with the object resource information of the resource object (such as product conversion rate, the number of items in the shopping cart, and the variety of product types), interaction metrics associated with interaction information (such as comment intent, the number of likes, and the number of comments), screen metrics associated with the current live stream screen information (such as screen quality), and script metrics associated with the script of the resource object (such as script quality).

[0092] Each interaction indicator data has corresponding data processing rules (such as quantity statistics, live content recognition, etc.). In the process of determining whether the interaction status information meets the auxiliary content update conditions, the interaction status information can be parsed and processed according to the data processing rules corresponding to the preset interaction indicator data of the auxiliary content update conditions to obtain the interaction indicator data corresponding to the resource recommendation live room. The interaction indicator data corresponding to the resource recommendation live room is matched with the preset interaction indicator data. If the interaction indicator data corresponding to the resource recommendation live room matches the preset interaction indicator data, it is determined that the interaction status information meets the auxiliary content update conditions.

[0093] For example, the preset interaction metric data is the metric data associated with the product conversion rate metric. The interaction status information includes the number of clicks on the resource object acquisition link and the number of acquisition requests initiated by the audience account for the resource object provided in the resource recommendation live room. According to the data processing rules corresponding to the product conversion rate metric, the number of clicks and the number of acquisition requests are processed to obtain the product conversion rate corresponding to the resource recommendation live room. Correspondingly, the metric data associated with the product conversion rate metric may include the product conversion rate threshold, and the product conversion rate corresponding to the resource recommendation live room is matched with the product conversion rate threshold. As another example, the preset interaction metric data is the metric data associated with the speech quality metric. The interaction status information includes the speech of the target live account explaining the resource object. According to the data processing rules corresponding to the speech quality metric, semantic analysis is performed on the speech of the resource object explanation to determine the target live account's speech fluency, speech logic, interjections, number of punctuation errors, quality of product selling point explanation, and speech richness, etc., and the interaction metric data is matched with the interaction metric data associated with the speech quality metric.

[0094] The technical solution of this embodiment includes preset interaction indicator data as the auxiliary content update condition. By parsing and processing the interaction status information according to the data processing rules corresponding to the preset interaction indicator data, the interaction indicator data corresponding to the resource recommendation live stream is obtained. If the interaction indicator data corresponding to the resource recommendation live stream matches the preset interaction indicator data, it is determined that the interaction status information meets the auxiliary content update condition. Thus, by parsing and processing the interaction status information according to the data processing rules corresponding to the preset interaction indicator data, the interaction status information is converted into quantifiable indicator data. Therefore, by matching the interaction indicator data corresponding to the resource recommendation live stream with the preset interaction indicator data, it is possible to accurately determine whether the interaction status information meets the auxiliary content update condition.

[0095] In some embodiments, the preset interaction indicator data includes interaction indicators and corresponding data matching rules; the method further includes: if the interaction indicator data corresponding to the resource recommendation live broadcast room meets the data matching rules corresponding to the interaction indicators in the preset interaction indicator data, determining that the interaction indicator data corresponding to the resource recommendation live broadcast room matches the preset interaction indicator data.

[0096] Among them, data matching rules refer to the rules for matching the interaction indicator data corresponding to the resource recommendation live broadcast room with preset interaction indicator data. For example, the data matching rules for the speech quality indicator can be that the number of interruption errors in the speech recognition result and the number of errors in interjections exceed a preset threshold I; the data matching rules for the object indicator can be that the number of resource objects to be recommended in the resource object container of the resource recommendation live broadcast room is greater than 0 (the number of products to be recommended in the shopping cart is greater than 0), the product conversion rate is less than a preset conversion rate threshold, and the number of resource objects currently being explained is less than 1.

[0097] In the specific implementation, when determining whether the interaction indicator data corresponding to the resource recommendation live room matches the preset interaction indicator data, it can be determined whether the interaction indicator data corresponding to the resource recommendation live room meets the data matching rules corresponding to the interaction indicators in the preset interaction indicator data. If it does, it is determined that the interaction indicator data corresponding to the resource recommendation live room matches the preset interaction indicator data.

[0098] In this embodiment, the preset interaction indicator data includes interaction indicators and corresponding data matching rules. If the interaction indicator data corresponding to the resource recommendation live stream meets the data matching rules corresponding to the preset interaction indicator data, it is determined that the interaction indicator data corresponding to the resource recommendation live stream matches the preset interaction indicator data. Thus, by using the data matching rules corresponding to the preset interaction indicator data, it is possible to accurately determine whether the interaction indicator data corresponding to the resource recommendation live stream matches the preset interaction indicator data.

[0099] In some embodiments, the auxiliary content update conditions include a combination of at least two preset interaction indicator data. When the interaction indicator data corresponding to the resource recommendation live room matches the preset interaction indicator data, it is determined that the interaction status information meets the auxiliary content update conditions. This includes determining that the interaction status information meets the auxiliary content update conditions when the interaction indicator data corresponding to the resource recommendation live room matches all the preset interaction indicator data in the auxiliary content update conditions.

[0100] In practice, at least two interaction metrics can be combined using an AND operation to form auxiliary content update conditions. Thus, when the interaction metrics data corresponding to the resource recommendation live stream match the preset interaction metrics data, the process of determining if the interaction status information meets the auxiliary content update conditions can be completed if the interaction metrics data corresponding to the resource recommendation live stream match all the preset interaction metrics data in the auxiliary content update conditions.

[0101] For example, the preset interaction metrics in the auxiliary content update conditions include object metric 1 (the number of resource objects currently being explained) and the corresponding data matching rule: the number of resource objects currently being explained is less than 1, and object metric 2 (the number of resource objects to be recommended in the resource object container of the resource recommendation live stream) and the corresponding data matching rule: the number of resource objects to be recommended in the resource object container is greater than 0. These two preset interaction metrics are combined using an "AND" logic.

[0102] When the interaction metrics data corresponding to the resource recommendation live stream are detected as follows: the number of resource objects currently being explained by the target live stream account is 0, and the number of products to be recommended in the shopping cart is 3, then it is determined that the interaction metrics data corresponding to the resource recommendation live stream match all the preset interaction metrics data in the auxiliary content update conditions. For example, the interaction operation optimization information corresponding to this auxiliary content update condition can instruct the target live stream account to explain product A to be recommended in the shopping cart. The corresponding second interactive auxiliary content can include interaction operation introduction information, interaction operation entry points: the explanation script for product A, and the entry point for adding product A. For example... Figure 4 As shown, a schematic diagram of the live streaming page of the first terminal where the target live streaming account is located is provided, which can display the product addition entry 420 in the second interactive auxiliary content 410.

[0103] The technical solution of this embodiment includes at least two preset interaction indicator data combinations as auxiliary content update conditions. The interaction status information is determined to meet the auxiliary content update conditions if the interaction indicator data corresponding to the resource recommendation live stream matches all the preset interaction indicator data in the auxiliary content update conditions. Thus, through the collaborative verification of multi-dimensional interaction indicators, the auxiliary content update is ensured to be more closely aligned with the actual interaction status of the live stream, making the updated auxiliary content more relevant to the real-time needs of the live stream and enhancing the content's usability.

[0104] In some embodiments, the auxiliary content update conditions include a combination of at least two preset interaction indicator data; when the interaction indicator data corresponding to the resource recommendation live room matches the preset interaction indicator data, determining that the interaction status information meets the auxiliary content update conditions includes: when the interaction indicator data corresponding to the resource recommendation live room matches at least one preset interaction indicator data in the auxiliary content update conditions, determining that the interaction status information meets the auxiliary content update conditions.

[0105] In practice, at least two interaction metrics can be combined using an "OR" logic to form auxiliary content update conditions. Thus, when the interaction metrics corresponding to the resource recommendation live stream match preset interaction metrics, the process of determining if the interaction status information meets the auxiliary content update conditions can be based on the condition that the interaction status information matches at least one preset interaction metric in the auxiliary content update conditions.

[0106] For example, the auxiliary content update conditions include interaction metrics (number of likes) and corresponding data matching rules: ≥1000 likes within 5 minutes of the live stream, and object metric 3 (number of items added to shopping cart (i.e., the number of clicks on the object's link)) and corresponding data matching rules: ≥30 items added to shopping cart within 3 minutes of the featured product being listed. These two preset interaction metrics are combined using an "OR" logic.

[0107] When the interaction metrics for the resource recommendation live stream are detected as follows: 1200 likes within 5 minutes (meeting the first interaction metric), the interaction status information is determined to meet the conditions for auxiliary content updates; or, when the interaction metrics for the resource recommendation live stream are detected as follows: 38 items added to the shopping cart within 3 minutes of the featured product being listed (meeting the second interaction metric), the interaction status information is determined to meet the conditions for auxiliary content updates; or, when the interaction metrics for the resource recommendation live stream are detected as follows: 1300 likes within 5 minutes and 42 items added to the shopping cart within 3 minutes of the featured product being listed (both interaction metrics are met), the interaction status information is determined to meet the conditions for auxiliary content updates.

[0108] For example, the interactive operation optimization information corresponding to the auxiliary content update condition can instruct the anchor to add free gifts. The corresponding second interactive auxiliary content can include interactive operation introduction information, such as "verbally informing users 'Thank you for your support. We are now adding 10 exclusive free gifts for the main product (such as free samples with purchase), repeating the core selling points of the main product + the rules for the free gifts, and guiding users to 'click link 1 to place an order and lock in the benefits.' The entire process should maintain a steady speaking speed and a positive mood, without the need for additional adjustments to the explanation rhythm."

[0109] The technical solution of this embodiment includes at least two preset interaction indicator data combinations as auxiliary content update conditions. The interaction status information is determined to meet the auxiliary content update conditions if the interaction indicator data corresponding to the resource recommendation live stream matches at least one preset interaction indicator data in the auxiliary content update conditions. Thus, only at least one preset interaction indicator data needs to be met to assist in content updates, which broadens the coverage of triggering scenarios for auxiliary content updates. It can accurately capture key signals from different dimensions of the live stream, avoiding missing effective optimization opportunities due to limitations of a single dimension, and adapting to various dynamically changing operational scenarios during live streams.

[0110] In some embodiments, the auxiliary content update conditions may include only one preset interaction indicator data. This application does not specifically limit the number of preset interaction indicator data included in the auxiliary content update conditions or the combination logic between multiple preset interaction indicator data.

[0111] In cases where only one preset interaction metric data is included, for example, the preset interaction metric data in the auxiliary content update conditions includes an interaction metric (number of comments within one minute) and a corresponding data matching rule: number of comments within one minute < 10. When the interaction metric data for the resource recommendation live stream is detected to be 8 comments within one minute, the interaction status information is determined to meet the auxiliary content update conditions. For instance, the interaction operation optimization information corresponding to this auxiliary content update condition can instruct the target live stream account to issue coupons.

[0112] Alternatively, the interaction metric (number of comments within one minute) and the corresponding data matching rule are: more than 50 comments within one minute. When the interaction metric data for the resource recommendation live stream is detected to be 58 comments within one minute, it is determined that the interaction status information meets the conditions for auxiliary content updates. For example, the interaction operation optimization information corresponding to this auxiliary content update condition can instruct the target live stream account to add a bonus shopping link.

[0113] In summary, this application allows for the combination and superposition of atomic conditions. The auxiliary content update conditions for a real interactive strategy (interactive operation optimization information) may be a combination of multiple atomic conditions using AND, OR, and NOT logic. For example, a product might be being explained but not demonstrated, or the product might have high exposure but low conversion rates. With this combination and superposition capability, only enumerable atomic conditions need to be defined. The system can intelligently combine various executable strategies based on different streamer characteristics, effectively improving the intelligence of interactive strategy generation. This can cope with the complex and ever-changing situations in actual live streaming and improve the interactive assistance effect.

[0114] In some embodiments, generating first interactive assistance content based on account description information and resource object description information associated with the target live streaming account includes: obtaining account description information and resource object description information associated with the target live streaming account; combining the account description information and resource object description information as reference information with a preset prompt word template to obtain a target prompt word; the target prompt word is used to instruct a pre-trained interactive assistance model to output the first interactive assistance content by referring to the reference information; the pre-trained interactive assistance model is trained based on historical interaction strategy samples; the interaction effect of the historical interaction strategy samples meets preset conditions.

[0115] Among them, the preset prompt word template can be a Prompt template for a large model, used to clarify the execution task and output format of the large model.

[0116] In this context, a Prompt is a command, question, or statement that can be used to guide or instruct a language model to generate specific text output. The Prompt is the starting point for user interaction with the language model; it tells the model the user's intent and expects the model to respond in a meaningful and relevant way.

[0117] In practice, the electronic device can obtain the account description information and resource object description information associated with the target live streaming account; using the account description information and resource object description information as reference information, it combines them with a preset prompt word template to obtain the target prompt word; the target prompt word is used as a parameter to call the pre-trained interactive assistance model, which outputs the first interactive assistance content by referring to the reference information. The first interactive assistance content can instruct the target live streaming account on the interactive operations to be performed at each point in time during the live stream, which can reduce costs and improve efficiency in pre-live stream preparation and help the streamer improve content creation and live stream efficiency.

[0118] The pre-trained interaction-assisted large model is trained based on historical interaction strategy samples; the interaction effects of these historical interaction strategy samples meet preset conditions. Specifically, interaction strategies used in historical live stream events where the interaction effects of different live stream accounts meet preset conditions can be obtained to form a target streamer strategy library. The interaction strategies in this library serve as historical interaction strategy samples to train the interaction-assisted large model. In practical applications, the target streamer strategy library can also be named the excellent streamer strategy library. In practical applications, the interaction effects of historical live stream events can be evaluated using information such as live stream traffic and the number of requests initiated to the corresponding resource objects (number of user orders). In practical applications, the interaction strategies in the target streamer strategy library can include, but are not limited to, product selection and grouping strategies, explanation script strategies, traffic generation and retention strategies, marketing tool strategies, live stream placement strategies, and short video strategies.

[0119] The technical solution of this embodiment obtains account description information and resource object description information associated with the target live streaming account; uses the account description information and resource object description information as reference information, and combines them with a preset prompt word template to obtain target prompt words; the target prompt words are used to instruct the pre-trained interaction assistance model to output first interaction assistance content by referring to the reference information; the pre-trained interaction assistance model is trained based on historical interaction strategy samples; the interaction effects of the historical interaction strategy samples meet preset conditions. Thus, the pre-trained interaction assistance model can combine the account description information and resource object description information associated with the target live streaming account, as well as the feature parameters of historically learned high-quality interaction strategies, to output first interaction assistance content. This ensures that the first interaction assistance content not only conforms to the live streaming style of the target live streaming account and the object characteristics of the resource objects provided in this live stream, but also learns the features of high-quality interaction strategies, effectively guaranteeing the high reliability of the first interaction assistance content.

[0120] In some embodiments, the method further includes: after the live interaction event ends, acquiring post-interaction information; the post-interaction information includes at least one of the following: interaction feedback information of the target live account and the audience account in the resource recommendation live room, resource transfer information for the resource object, viewing duration information of the audience account in the resource recommendation live room, and reach information of the resource recommendation live room; inputting the post-interaction information into a pre-trained interaction-assisted large model to instruct the pre-trained interaction-assisted large model to summarize and analyze the post-interaction information and generate an interaction analysis report for the live interaction event; the interaction analysis report is used to indicate the interaction effect of the live interaction event and interaction optimization suggestions.

[0121] In practical implementation, after a live interaction event is detected and concluded, the electronic device can acquire post-interaction information. This post-interaction information includes at least one of the following: interaction feedback information from the target live stream account and viewer accounts in the resource-recommended live stream (such as feedback information from the live stream account and viewer accounts, viewer dislike rate, and streamer adoption rate); resource transfer information for the resource object (such as transaction conversion rate, cumulative sales volume, and sales amount); viewer account viewing time information in the resource-recommended live stream; and reach information of the resource-recommended live stream (such as live stream exposure). By inputting this post-interaction information into a pre-trained interaction-assisted large-scale model, the model is instructed to summarize and analyze the post-interaction information, generating an interaction analysis report for the live stream interaction event. This report indicates the interaction effect of the live stream interaction event and provides suggestions for interaction optimization. In practical applications, the interaction analysis report can be named a live stream debriefing report.

[0122] The technical solution of this embodiment involves acquiring post-interaction information after the live streaming interaction event concludes. This post-interaction information includes at least one of the following: interaction feedback information between the target live streaming account and the viewer accounts in the resource recommendation live streaming room; resource transfer information for resource objects; viewing duration information of the viewer accounts in the resource recommendation live streaming room; and reach information of the resource recommendation live streaming room. This post-interaction information is then input into a pre-trained interaction-assisted large-scale model, which summarizes and analyzes the information to generate an interaction analysis report for the live streaming interaction event. The interaction analysis report indicates the interaction effect of the live streaming interaction event and provides suggestions for interaction optimization. This allows for a systematic analysis and summary of the entire process data, behaviors, and results of the completed live stream, providing a basis for decision-making regarding subsequent live streaming strategy optimization and effect improvement.

[0123] In one embodiment, such as Figure 5 As shown, a structural diagram of a live streaming strategy orchestration and scheduling system is also provided. This system consists of three parts:

[0124] The first part is intelligent orchestration before the live broadcast: a large interactive assistance model to be trained (which can be named the live broadcast model in practical applications) is trained through an excellent anchor strategy library to obtain a pre-trained interactive assistance model; the account description information (anchor data) and resource object description information (pallet data) associated with the target live broadcast account are obtained, and the account description information and resource object description information are used as reference information and combined with the preset prompt word template to obtain the target prompt word. The target prompt word instructs the pre-trained interactive assistance model to output the first interactive assistance content (static live broadcast script) by referring to the above reference information.

[0125] In some embodiments, such as Figure 6 and Figure 7As shown, each provides an interface diagram of an intelligent live streaming orchestration system. Figure 6 As shown, this intelligent live streaming orchestration system can be used to query account description information associated with a target live streaming account, such as historical live streaming traffic trend information (e.g., waveforms of online viewers, entry viewers, and retention rates), historical live streaming traffic numerical information (e.g., basic traffic data such as exposure counts, entry viewers, and total viewing time; traffic quality data such as entry rate, average dwell time, and peak online viewers; traffic source data such as the proportion of traffic from various channels and the proportion of new and returning users), and resource description information corresponding to the resource objects recommended in historical live streams. It can also query resource description information corresponding to the resource objects provided in this live stream, based on the account description information and resource object description information associated with the target live streaming account, such as... Figure 7 The generated live stream script indicates the interactive operations to be performed by the target live stream account at each point in time during the live stream. For example, 1-6 min: explain product A, at the beginning of the live stream, use promotional items to attract initial traffic; 6-12 min: explain product B, during the traffic ramp-up period, use lead-in products to continue to increase traffic; 12-27 min: explain product C, during the traffic peak period, introduce the main profit-generating product to maximize revenue.

[0126] The second part is scheduling during the live stream: After the live stream interaction event begins in the resource recommendation live stream room, the interaction status information of the resource recommendation live stream room (real-time live stream data, such as current live stream traffic, product conversion rate, user comments, and product presentation rhythm) is obtained. If the interaction status information meets the conditions for updating auxiliary content, the interaction operation optimization information that matches the conditions for updating auxiliary content is determined. The interaction operation optimization information is used to indicate the interaction operation that matches the interaction status information. The first interaction auxiliary content is updated according to the interaction operation optimization information to obtain the second interaction auxiliary content, so as to realize the dynamic adjustment of the live stream script.

[0127] In some embodiments, such as Figure 8 and Figure 9 As shown, each provides an interface diagram of an intelligent broadcast scheduling system. Figure 8 As shown, after the live interaction event in the resource recommendation live room begins, the intelligent broadcast scheduling system can obtain the interaction status information of the resource recommendation live room, such as the current live screen information, the current live traffic information (such as the number of online viewers, the number of people entering, and the number of exposures in the resource recommendation live room), and the explanation script of the target live account's resource object. By performing AI analysis on the interaction status information, the system can determine the interaction operation optimization information used to indicate the interaction operation that matches the interaction status information.

[0128] In determining the interactive operation optimization information, it is necessary to check whether the interactive state information meets the auxiliary content update conditions. If the auxiliary content update conditions are met, the interactive operation optimization information that matches the auxiliary content update conditions is determined. For example... Figure 9 As shown, the intelligent broadcast scheduling system can also be used for strategy configuration, specifically for configuring auxiliary content update conditions and associated interactive operations. The configuration of auxiliary content update conditions includes, but is not limited to, logical combinations such as "AND" and "OR" for different interactive indicator data.

[0129] The third part is the post-live broadcast debriefing: After the live broadcast interaction event ends, obtain post-interaction information, such as feedback information from the live broadcast account and viewer accounts, viewer dislike rate, streamer adoption rate, live broadcast exposure, and transaction conversion rate. Based on the post-interaction information, the pre-trained interaction-assisted big model summarizes and analyzes the post-interaction information and generates an interaction analysis report for the live broadcast interaction event.

[0130] In yet other embodiments, Figure 10 The diagram illustrates the flowchart of an interactive method for resource recommendation live streams. First, data factors need to be defined, which are environmental information (interaction state information) within the live stream. This includes information such as viewer account profiles, comment information, product information sold by the streamer, their sales pitch, and conversion data. Through factor analysis, using a manual strategy rule engine, engineered intelligent agents, or algorithmic decision models, the preferences of viewer accounts entering the live stream, comment intent, fluctuations in live stream traffic data, the quality of the streamer's sales pitch and the live stream visuals, are analyzed to enable in-stream decision-making and determine interactive operations that match the interaction state information, such as product selection, comment replies, use of marketing activities, and adjustments to traffic strategies. The execution method for interactive operations matching the interaction state information can be selected as automatic, manual, or voice control. The target live stream account can also provide feedback on the generated interactive operation optimization information.

[0131] Thus, this application can provide the target live streaming account with better interactive operation decisions in the current live streaming room state, without requiring the target live streaming account to make its own judgment and determine the interactive operation. While ensuring the quality of live streaming content and the live streaming effect, it can effectively reduce the cost and difficulty of live streaming.

[0132] It should be understood that although the steps in the flowchart of this application are shown sequentially as indicated by 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 flowchart of this application may include multiple steps or multiple stages, which are not necessarily completed at the same time, but may be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but may be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0133] It is understood that the same / similar parts between the various embodiments of the methods described above in this specification can be referred to each other. Each embodiment focuses on the differences from other embodiments, and relevant parts can be referred to the description of other method embodiments.

[0134] Figure 11 This is a block diagram illustrating an interactive device for a resource recommendation live streaming room according to an exemplary embodiment. (Refer to...) Figure 11 The device includes a content generation unit 1102 and a content updating unit 1104.

[0135] The content generation unit 1102 is configured to generate first interactive auxiliary content based on the account description information and resource object description information associated with the target live streaming account; the resource object description information is the description information of resource objects provided by the resource recommendation live streaming room where the target live streaming account is located; the first interactive auxiliary content includes live streaming elements used to assist the target live streaming account in interacting in the resource recommendation live streaming room.

[0136] The content update unit 1104 is configured to respond to the start of a live interaction event in the resource recommendation live room, update the first interactive auxiliary content according to the interaction status information of the resource recommendation live room, and obtain the second interactive auxiliary content; the second interactive auxiliary content is used to prompt the target live account to perform an interactive operation that matches the interaction status information.

[0137] In an exemplary embodiment, the content update unit 1104 is specifically configured to, when the interaction state information satisfies the auxiliary content update conditions, determine interaction operation optimization information that matches the auxiliary content update conditions; the interaction operation optimization information is used to indicate the interaction operation that matches the interaction state information; and update the first interactive auxiliary content according to the interaction operation optimization information to obtain the second interactive auxiliary content.

[0138] In an exemplary embodiment, the auxiliary content update conditions include preset interaction indicator data; the content update unit 1104 is further configured to perform data processing according to the data processing rules corresponding to the preset interaction indicator data to parse the interaction status information and obtain the interaction indicator data corresponding to the resource recommendation live broadcast room; if the interaction indicator data corresponding to the resource recommendation live broadcast room matches the preset interaction indicator data, it is determined that the interaction status information satisfies the auxiliary content update conditions.

[0139] In an exemplary embodiment, the auxiliary content update conditions include a combination of at least two preset interaction indicator data; the content update unit 1104 is further configured to determine that the interaction status information satisfies the auxiliary content update conditions when the interaction indicator data corresponding to the resource recommendation live room matches all the preset interaction indicator data in the auxiliary content update conditions.

[0140] In an exemplary embodiment, the auxiliary content update conditions include a combination of at least two preset interaction indicator data; the content update unit 1104 is further configured to determine that the interaction status information satisfies the auxiliary content update conditions when the interaction indicator data corresponding to the resource recommendation live room matches at least one of the preset interaction indicator data in the auxiliary content update conditions.

[0141] In an exemplary embodiment, the preset interaction indicator data includes interaction indicators and corresponding data matching rules; the content update unit 1104 is further configured to determine that the interaction indicator data corresponding to the resource recommendation live stream matches the preset interaction indicator data if the interaction indicator data corresponding to the resource recommendation live stream satisfies the data matching rules corresponding to the interaction indicators in the preset interaction indicator data.

[0142] In an exemplary embodiment, the content generation unit 1102 is specifically configured to: acquire account description information and resource object description information associated with the target live streaming account; combine the account description information and the resource object description information as reference information with a preset prompt word template to obtain a target prompt word; the target prompt word is used to instruct a pre-trained interaction assistance model to output the first interaction assistance content by referring to the reference information; the pre-trained interaction assistance model is trained based on historical interaction strategy samples; the interaction effect of the historical interaction strategy samples meets preset conditions.

[0143] In an exemplary embodiment, the apparatus further includes: a report generation unit configured to perform the following actions after the live streaming interaction event ends: acquiring post-interaction information; the post-interaction information includes at least one of the following: interaction feedback information between the target live streaming account and the viewer account in the resource recommendation live streaming room; resource transfer information for the resource object; viewing duration information of the viewer account in the resource recommendation live streaming room; and reach information of the resource recommendation live streaming room; inputting the post-interaction information into the pre-trained interaction assistance model to instruct the pre-trained interaction assistance model to summarize and analyze the post-interaction information and generate an interaction analysis report for the live streaming interaction event; the interaction analysis report is used to indicate the interaction effect of the live streaming interaction event and interaction optimization suggestions.

[0144] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0145] Figure 12 This is a block diagram illustrating an electronic device 1200 for interaction in a resource recommendation live streaming room, according to an exemplary embodiment. For example, the electronic device 1200 can be a server. (Refer to...) Figure 12 The electronic device 1200 includes a processing component 1220, which further includes one or more processors, and memory resources represented by memory 1222 for storing instructions, such as application programs, that can be executed by the processing component 1220. The application programs stored in memory 222 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 1220 is configured to execute instructions to perform the methods described above.

[0146] Electronic device 1200 may further include: a power supply component 1224 configured to perform power management of electronic device 1200, a wired or wireless network interface 1226 configured to connect electronic device 1200 to a network, and an input / output (I / O) interface 1228. Electronic device 1200 may operate on an operating system stored in memory 1222, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, or similar.

[0147] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 1222 including instructions, which can be executed by a processor of an electronic device 1200 to perform the above-described method. The storage medium may be a computer-readable storage medium, such as a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0148] In an exemplary embodiment, a computer program product is also provided, the computer program product including instructions that can be executed by a processor of an electronic device 1200 to perform the above-described method.

[0149] It should be noted that the above-mentioned apparatus, electronic equipment, computer-readable storage medium, computer program product, etc., may also include other implementation methods according to the description of the method embodiments. For specific implementation methods, please refer to the description of the relevant method embodiments, which will not be elaborated here.

[0150] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the claims.

[0151] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. An interactive method for a resource recommendation live stream, characterized in that, include: Based on the account description information and resource object description information associated with the target live streaming account, generate the first interactive auxiliary content; The resource object description information is the description information of the resource object provided by the resource recommendation live room where the target live account is located; the first interactive assistance content includes live elements used to assist the target live account in interacting in the resource recommendation live room; In response to the start of a live interaction event in the resource recommendation live room, the first interactive auxiliary content is updated according to the interactive status information of the resource recommendation live room to obtain the second interactive auxiliary content; The second interactive assistance content is used to prompt the target live streaming account to perform an interactive operation that matches the interactive status information.

2. The interactive method for resource recommendation live streaming rooms according to claim 1, characterized in that, The step of updating the first interactive auxiliary content based on the interactive status information of the recommended live stream room to obtain the second interactive auxiliary content includes: If the interaction status information meets the auxiliary content update conditions, determine the interaction operation optimization information that matches the auxiliary content update conditions; the interaction operation optimization information is used to indicate the interaction operation that matches the interaction status information. The first interactive assistance content is updated based on the interactive operation optimization information to obtain the second interactive assistance content.

3. The interactive method for resource recommendation live streaming rooms according to claim 2, characterized in that, The auxiliary content update conditions include preset interaction indicator data; the method further includes: According to the data processing rules corresponding to the preset interaction index data, the interaction status information is parsed and processed to obtain the interaction index data corresponding to the resource recommendation live room. If the interaction indicator data corresponding to the resource recommendation live broadcast room matches the preset interaction indicator data, it is determined that the interaction status information meets the auxiliary content update conditions.

4. The interactive method for resource recommendation live streaming rooms according to claim 3, characterized in that, The auxiliary content update conditions include a combination of at least two preset interaction indicator data; the step of determining that the interaction status information meets the auxiliary content update conditions when the interaction indicator data corresponding to the resource recommendation live broadcast room matches the preset interaction indicator data includes: If the interaction indicator data corresponding to the resource recommendation live broadcast room matches all the preset interaction indicator data in the auxiliary content update conditions, it is determined that the interaction status information satisfies the auxiliary content update conditions.

5. The interactive method for resource recommendation live streaming rooms according to claim 3, characterized in that, The auxiliary content update conditions include a combination of at least two preset interaction indicator data; the step of determining that the interaction status information meets the auxiliary content update conditions when the interaction indicator data corresponding to the resource recommendation live broadcast room matches the preset interaction indicator data includes: If the interaction indicator data corresponding to the resource recommendation live broadcast room matches at least one of the preset interaction indicator data in the auxiliary content update conditions, it is determined that the interaction status information satisfies the auxiliary content update conditions.

6. The interactive method for resource recommendation live streaming rooms according to claim 3, characterized in that, The preset interaction indicator data includes interaction indicators and corresponding data matching rules; the method further includes: If the interaction metric data corresponding to the resource recommendation live stream meets the data matching rules of the preset interaction metric data, then the interaction metric data corresponding to the resource recommendation live stream is determined to match the preset interaction metric data.

7. The interactive method for resource recommendation live streaming rooms according to claim 1, characterized in that, The step of generating first interactive auxiliary content based on the account description information and resource object description information associated with the target live streaming account includes: Obtain the account description information and resource object description information associated with the target live streaming account; The account description information and the resource object description information are used as reference information and combined with a preset prompt word template to obtain a target prompt word; the target prompt word is used to instruct the pre-trained interaction assistance model to output the first interaction assistance content by referring to the reference information; the pre-trained interaction assistance model is trained based on historical interaction strategy samples; the interaction effect of the historical interaction strategy samples meets preset conditions.

8. The interactive method for resource recommendation live streaming rooms according to claim 7, characterized in that, The method further includes: After the live interaction event ends, obtain post-interaction information; the post-interaction information includes at least one of the following: interaction feedback information between the target live account and the audience account in the resource recommendation live room, resource transfer information for the resource object, viewing duration information of the audience account in the resource recommendation live room, and reach information of the resource recommendation live room; The post-interaction information is input into the pre-trained interaction-assisted large model to instruct the pre-trained interaction-assisted large model to summarize and analyze the post-interaction information and generate an interaction analysis report for the live interaction event; the interaction analysis report is used to indicate the interaction effect of the live interaction event and interaction optimization suggestions.

9. An interactive device for a resource recommendation live streaming room, characterized in that, include: The content generation unit is configured to generate first interactive auxiliary content based on the account description information and resource object description information associated with the target live streaming account; The resource object description information is the description information of the resource object provided by the resource recommendation live room where the target live account is located; the first interactive assistance content includes live elements used to assist the target live account in interacting in the resource recommendation live room; The content update unit is configured to execute a response to a live interaction event in the resource recommendation live room, update the first interactive auxiliary content according to the interaction status information of the resource recommendation live room, and obtain the second interactive auxiliary content. The second interactive assistance content is used to prompt the target live streaming account to perform an interactive operation that matches the interactive status information.

10. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the interactive method of the resource recommendation live streaming room as described in any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is able to perform the interactive method of the resource recommendation live streaming room as described in any one of claims 1 to 8.

12. A computer program product, the computer program product comprising instructions, characterized in that, When the instruction is executed by the processor of the electronic device, the electronic device is able to perform the interactive method of the resource recommendation live room as described in any one of claims 1 to 8.

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