Content delivery method and device, equipment, storage medium and program product

Abstract

The embodiment of the invention relates to a content delivery method and device, equipment, a storage medium and a program product. The method comprises the steps of displaying a delivery task generation page of content delivery in response to a trigger operation of delivery content, and displaying target delivery content in a selected style in a content selection area of the page; displaying candidate parameter cards corresponding to a plurality of preset conversion targets in a parameter configuration area of the delivery task generation page, and displaying conversion target identifiers of the preset conversion targets, at least part of delivery parameters in a candidate parameter combination and a combination selection basis in the candidate parameter cards; in response to a selection operation on the candidate parameter cards, determining a target parameter combination of content delivery; and in response to a trigger operation on the task generation control, based on the target delivery content, converting the target identifier and the target parameter combination to generate a content delivery task for completing delivery of the target delivery content. In this way, the conversion rate of generating the delivery task from the delivery task generation page can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of digital information technology, and in particular, to a content delivery method, apparatus, device, storage medium, and program product. Background Art

[0002] Content delivery refers to an operation process in which a user exchanges one resource for another resource, and uses the other resource to specifically display the content to be delivered (such as video or live content, etc.) to a specific target population, so as to achieve the purposes of improving the content exposure rate, increasing the number of followers, increasing the interaction rate, promoting the conversion rate, etc.

[0003] During the content delivery process, it is necessary to configure some delivery-related parameters, such as delivery targets / purposes, the amount of resource transfer required for replacement, delivery duration, targeting parameters of the delivery population, and bidding methods, etc. However, some users are not familiar with the delivery business and do not understand the layout, functions, and sequential interaction order of the functions on the delivery task generation page, resulting in the inability to successfully complete the configuration of delivery parameters and the generation of delivery tasks; in addition, during the configuration process of delivery parameters, users do not have sufficient delivery expertise and are not clear about the association relationship between the parameters, so they cannot successfully configure the parameters, which will also cause the failure of generating delivery tasks, and ultimately lead to a low conversion rate of generating delivery tasks through the delivery task generation page. Summary of the Invention

[0004] To solve the above technical problems, embodiments of the present disclosure provide a content delivery method, apparatus, device, storage medium, and program product.

[0005] In a first aspect, embodiments of the present disclosure provide a content delivery method, the method comprising:

[0006] In response to a trigger operation for delivering content, display a delivery task generation page for content delivery, and display at least one target delivery content in a selected style in the content selection area of the delivery task generation page;

[0007] In the parameter configuration area of the delivery task generation page, display candidate parameter cards corresponding to multiple preset conversion targets, and display the conversion target identifier of the preset conversion target, at least some of the delivery parameters in the candidate parameter combination, and the combination selection basis in the candidate parameter cards;

[0008] In response to a selection operation on the candidate parameter cards, determine the target parameter combination for content delivery;

[0009] In response to a triggering operation on a task generation control in the page for generating the delivery task, a content delivery task is generated based on the target delivery content, the conversion target identifier, and the target parameter combination; wherein, the content delivery task is used to complete the delivery process of the target delivery content.

[0010] In a second aspect, an embodiment of the present disclosure further provides a content delivery device, which includes:

[0011] A target delivery content display module, configured to display a page for generating a delivery task of content delivery in response to a triggering operation on the delivery content, and display at least one target delivery content in a selected style in a content selection area of the page for generating the delivery task;

[0012] A candidate parameter card display module, configured to display candidate parameter cards corresponding to a plurality of preset conversion targets in a parameter configuration area of the page for generating the delivery task, and display at least some delivery parameters and combination selection bases in the candidate parameter cards for the conversion target identifier of the preset conversion target;

[0013] A target parameter combination determination module, configured to determine a target parameter combination for content delivery in response to a selection operation on the candidate parameter card;

[0014] A content delivery task generation module, configured to generate a content delivery task based on the target delivery content, the conversion target identifier, and the target parameter combination in response to a triggering operation on a task generation control in the page for generating the delivery task; wherein, the content delivery task is used to complete the delivery process of the target delivery content.

[0015] In a third aspect, an embodiment of the present disclosure further provides an electronic device, which includes:

[0016] A processor;

[0017] A memory, configured to store executable instructions;

[0018] Wherein, the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the content delivery method described in any embodiment of the present disclosure.

[0019] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor is caused to implement the content delivery method described in any embodiment of the present disclosure.

[0020] In a fifth aspect, an embodiment of the present disclosure further provides a computer program product, which is used to execute the content delivery method described in any embodiment of the present disclosure.

[0021] The content delivery method, apparatus, device, storage medium, and program product according to the embodiments of the present disclosure can, in response to a trigger operation for delivering content, display a delivery task generation page for content delivery, and display at least one target delivery content in a selected style in the content selection area of the delivery task generation page; display candidate parameter cards corresponding to multiple preset conversion targets in the parameter configuration area of the delivery task generation page, and display the conversion target identifier of the preset conversion target, at least some of the delivery parameters in the candidate parameter combination, and the combination selection basis in the candidate parameter cards; in response to a selection operation on the candidate parameter cards, determine the target parameter combination for content delivery; in response to a trigger operation on the task generation control in the delivery task generation page, generate a content delivery task based on the target delivery content, the conversion target identifier, and the target parameter combination for completing the delivery process of the target delivery content; on the one hand, by integrating the delivery conversion target, the corresponding bidding method, and various delivery parameters into the same parameter card for aggregated display, the function modules and page levels in the delivery task generation page are reduced, thereby reducing the number of interactive switches during the delivery process, lowering the interaction complexity, shortening the interactive process of generating the delivery task, reducing the difficulty of content delivery from the perspective of human-computer interaction, and thus increasing the conversion rate of generating a delivery task from the delivery task generation page; on the other hand, by packaging each delivery parameter into a parameter combination, the user does not need to understand the mutual influence logic between the delivery parameters, reducing the difficulty of configuring the delivery parameters, thereby improving the efficiency of configuring the delivery parameters and further increasing the conversion rate of generating a delivery task from the delivery task generation page; on the one hand, by using the conversion target identifier and the combination selection basis to assist the user in more easily understanding the delivery-related information in each candidate parameter card, reducing the user's cognitive load for content delivery, further improving the efficiency of configuring the delivery parameters, and thus increasing the possibility of the user continuing with content delivery, and further increasing the conversion rate of generating a delivery task from the delivery task generation page.

[0022] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the embodiments of the present disclosure are all information and data that have been authorized by the user or fully authorized by all parties, and the collection, use, and processing of the relevant data need to comply with the relevant laws, regulations, and standards of the relevant countries and regions, and corresponding operation entrances are provided for the user to select authorization or rejection. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In combination with the accompanying drawings and with reference to the following specific embodiments, the above and other features, advantages, and aspects of the embodiments of the present disclosure will become more apparent. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic, and the elements and elements are not necessarily drawn to scale.

[0024] Figure 1 Schematic diagram of a page for generating a placement task in the related art;

[0025] Figure 2 Schematic diagram of another page for generating a placement task in the related art;

[0026] Figure 3 Schematic flowchart of a content placement method provided by an embodiment of the present disclosure;

[0027] Figure 4 Schematic diagram of a page for generating a placement task provided by an embodiment of the present disclosure;

[0028] Figure 5 Schematic diagram of another page for generating a placement task provided by an embodiment of the present disclosure;

[0029] Figure 6 Schematic diagram of a scenario recommendation card provided by an embodiment of the present disclosure;

[0030] Figure 7 Schematic diagram of another scenario recommendation card provided by an embodiment of the present disclosure;

[0031] Figure 8 Schematic diagram of yet another scenario recommendation card provided by an embodiment of the present disclosure;

[0032] Figure 9 Schematic diagram of yet another page for generating a placement task provided by an embodiment of the present disclosure;

[0033] Figure 10 Schematic diagram of the structure of a content placement device provided by an embodiment of the present disclosure;

[0034] Figure 11 Schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure. Detailed implementation manners

[0035] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not used to limit the protection scope of the present disclosure.

[0036] It should be understood that the various steps described in the method embodiments of the present disclosure may be executed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this regard.

[0037] As used herein, the term "including" and its variations are open-ended, that is, "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0038] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependent relationships.

[0039] It should be noted that the modifications of "one" and "a plurality" mentioned in the present disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly specified in the context, it should be understood as "one or more".

[0040] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0041] During the content delivery process, a delivery task generation page can be generated to display the various parameters to be configured and their corresponding configurable parameter values (referred to as candidate parameter values). For example, the video for which the delivery process is to be performed can be selected through the "Deliver Content" item, the purpose of delivery such as increasing the number of followers, increasing the number of likes, or increasing the video playback volume can be selected through the "Delivery Target" item, and the delivery duration, the targeted population for delivery, and the transfer amount of resources to be replaced for delivery (referred to as the resource transfer amount, such as the amount of money) can be determined through the "Delivery Parameters".

[0042] However, in the related art, the same delivery task generation page is presented to all types of users. For example, the same delivery task generation page is presented to users with sufficient delivery expertise and users with no delivery expertise at all, which may cause users lacking delivery expertise to give up content delivery because they do not understand the function layout, function meaning, and interaction path in the page. For example, all present as Figure 1The shown delivery task generation page displays function items such as delivery content, delivery target, parameter combination, and custom parameter. However, users lacking delivery expertise may not understand the meaning of the delivery target and its relevance to the parameter combination and custom parameter, may not be clear about the meaning of different parameter combinations, and may not find the function switching entry between the parameter combination and the custom parameter, resulting in the inability of users to continue the interaction to trigger the generation of the delivery task. For another example, all present as Figure 2 The shown delivery task generation page displays each delivery object dimension and its candidate dimension values corresponding to the delivery content, delivery target, and custom parameter. However, it is very likely that users lacking delivery expertise do not understand the meaning of the items shown, resulting in the inability of users to continue to configure each parameter smoothly, and thus unable to trigger the generation of the delivery task. In summary, the above unified display of the delivery task generation page may have problems such as redundant interaction paths and / or overloaded cognitive load, resulting in some users entering the delivery task generation page but not triggering the task generation, that is, resulting in a low conversion rate of generating a delivery task from the delivery task generation page.

[0043] Based on the above situation, the embodiments of the present disclosure provide a content delivery solution to reduce the interaction function items on the delivery task generation page and provide more understandable function names or superimpose more understandable guiding information for each interaction function item, thereby improving the conversion rate of generating a delivery task from the delivery task generation page.

[0044] The content delivery method provided by the embodiments of the present disclosure is applicable to content delivery related scenarios. This method can be executed by a content delivery device, which can be implemented in software and / or hardware, and can be integrated in an electronic device with visualization function. The electronic device may include but is not limited to, such as a smart phone, a personal digital assistant (Personal Digital Assistant, PDA), a tablet personal computer (Tablet Personal Computer, TabletPC), a laptop computer, a mobile workstation, or a desktop computer, etc.

[0045] Figure 3 Shows a schematic flowchart of a content delivery method provided by the embodiments of the present disclosure. As Figure 1 shown, the content delivery method may include the following steps:

[0046] S310. In response to a trigger operation of the delivery content, display a delivery task generation page for content delivery, and display at least one target delivery content in a selected style in the content selection area of the delivery task generation page.

[0047] Among them, the placement task generation page is an interactive page for configuring placement parameters in the content placement process and generating placement tasks. The content selection area is a display area for showing candidate placement content and the selected candidate placement content (i.e., target placement content) to be targeted for placement. The candidate placement content here can be, for example, videos, live content, graphic and text content, etc.

[0048] Specifically, if a certain user wants to perform targeted placement on the content they have published (abbreviated as self-placement), or the user wants to perform targeted placement on the content published by other users (abbreviated as proxy placement), then this user can be referred to as the current user. In this case, the current user can activate the content placement function, that is, perform a triggering operation on the placement content.

[0049] In one example, the current user can activate an application program / web page / miniapp, etc. with content placement function. In response to this activation operation, the electronic device defaults to enter the placement task generation page for content placement. Alternatively, the electronic device defaults to display the home page in response to this activation operation and shows a "Placement" button therein. The current user can trigger the "Placement" button to trigger the electronic device to display the placement task generation page for content placement.

[0050] In another example, the current user can perform a triggering operation on relevant information linked to the placement function. For example, the promotion information for promoting the placement product may embed an entry control for the placement function. The current user can perform a triggering operation on this entry control. The electronic device can then display the placement task generation page for content placement in response to this triggering operation.

[0051] In yet another example, the content to be placed can embed an entry control for the placement function. For example, a "Placement" button is displayed in the peripheral area of the published video, or a "Placement" option is included in the quick interaction menu that pops up after long-pressing the published video, etc. The current user can trigger it according to the interaction method of the above entry control. The electronic device can then display the placement task generation page for content placement in response to this triggering operation. As Figure 4 shown, the electronic device displays the placement task generation page 400 for content placement. Then, at least one candidate placement content 411 is displayed in the content selection area 410 of the placement task generation page 400, and at least one target candidate content 412 is displayed in a selected style (the example in the figure is a tick in the upper right corner and the video border is thickened) to indicate that subsequent placement parameters will be configured for this target placement content. Corresponding to the above self-placement or proxy placement, the candidate placement content / target placement content here can be the content published by the current user themselves, or the content published by other users for proxy placement.

[0052] S320. In the parameter configuration area of the delivery task generation page, display candidate parameter cards corresponding to multiple preset conversion goals, and in the candidate parameter cards, display the conversion goal identifiers of the preset conversion goals, at least some of the delivery parameters in the candidate parameter combinations, and the basis for combination selection.

[0053] Among them, the parameter configuration area is a display area for configuring delivery parameters. The preset conversion goal is the goal or purpose of user conversion that the content delivery wants to achieve, which can be determined by analyzing the delivery requirements with relevant demands. Exemplarily, the preset conversion goal can be to increase the content view volume (abbreviated as the content view volume goal), increase the number of shallow interactions (abbreviated as the shallow interaction goal), or increase the number of deep interactions (abbreviated as the deep interaction goal). When the content is a video, the content view goal volume can be realized as the video play volume. The shallow interaction goal is to increase the number of surface feedbacks that generate a single interaction. Shallow interactions belong to low-threshold and immediate user feedback behaviors, such as like feedback or comment feedback for the content. The deep interaction goal is to increase the number of deep interaction feedbacks (such as establishing a user binding relationship) that generate long-term interactions. Deep interactions belong to high-threshold and long-term user decision-making behaviors, such as the follow behavior of following the creator based on the content, thereby increasing the number of followers (or can be called fans). The candidate parameter card is a visual card that aggregately displays at least including the candidate parameter combination. In the embodiments of the present disclosure, the conversion goal and the delivery parameter combination are displayed, so one preset conversion goal corresponds to one candidate parameter card. Thus, the candidate parameter card can also contain relevant information of the corresponding preset conversion goal, such as the identifying information of the preset conversion goal (i.e., the conversion goal identifier). To further reduce the difficulty of understanding, the conversion goal identifier can be a popularized text expression and / or picture of the preset conversion goal. For example, see Figure 4 , the conversion goal identifier of the content view volume goal can be the text of "video play volume" and the icon representing the video; the conversion goal identifier of the shallow interaction goal can be the text of "like and comment volume" and the icon of a heart superimposed with a plus sign representing a like; the conversion goal identifier of the deep interaction goal can be the text of "rapidly gain fans" and the icon of a user superimposed with a plus sign.

[0054] Among them, the basis for combination selection is the prompting information recommended for the candidate parameter combination, which can reflect the characteristics or value points of the corresponding candidate parameter combination. Exemplarily, the basis for combination selection includes the predicted improvement amount of the conversion target based on the candidate parameter combination and the parameter combination characteristic identifier corresponding to the preset conversion target. The improvement amount of the conversion target is the quantity of the improvement of the preset conversion target that the candidate parameter combination can bring. The parameter combination characteristic identifier is the identifying information of the characteristics (i.e., special features) of the candidate parameter combination. For example, it can be text or a picture, etc. For example, it can be the identifying information (such as the name or its popularized expression) of the effect guarantee compensation mechanism and / or the recommended targeted population, and it is not the specific characteristic content. For example, Figure 4 in the candidate parameter card of the like, comment, and like volume, the parameter combination characteristic identifier of "recommended targeted population" is displayed, rather than the specific targeted population parameter value.

[0055] Specifically, continue to refer to Figure 4 , the electronic device can display candidate parameter cards 421 corresponding to multiple preset conversion targets in the parameter configuration area 420 of the placement task generation page 400. And in each candidate parameter card 421, the conversion target identifier 4211 corresponding to the corresponding preset conversion target, at least some of the placement parameters 4212 in the candidate parameter combination (such as the target duration of placement, the target resource transfer amount), and the basis for combination selection can be displayed. In some embodiments, the electronic device can display the basis for combination selection in the candidate parameter card 421 as the predicted improvement amount 4213 of the conversion target based on its corresponding candidate parameter combination and the parameter combination characteristic identifier 4214 corresponding to the preset conversion target.

[0056] Through the above settings, first, the electronic device can aggregate the difficult-to-understand conversion target, bidding method, and placement parameters in the related art and display them in one item, reducing the function items on the placement task generation page, thereby reducing the operation complexity and understanding difficulty. Second, a candidate parameter combination is recommended for each preset conversion target, eliminating the need for the user to define the placement parameters by themselves, and thus eliminating the need for the user to understand the complex relationship among the conversion target, placement duration, placement amount, and targeted population for placement, improving the efficiency of the user in configuring the placement parameters, and at the same time further reducing the understanding difficulty of the page. Third, through the popularized conversion target identifier and the basis for combination selection, the understanding difficulty of each candidate parameter combination is further reduced, and the efficiency of the user in configuring the placement parameters is further improved. All of these can encourage the user to continue the page interaction to complete the interaction process of content placement.

[0057] In some embodiments, S320 includes: if it is determined based on the current user information that the identity of the current user belongs to a preset identity, then display candidate parameter cards corresponding to each preset conversion target in the parameter configuration area of the placement task generation page.

[0058] Among them, the preset identity is a pre-set user identity, which corresponds to the user identity of those who are not familiar with the configuration of the delivery parameters. Exemplarily, the preset identity is a user who has not registered on the content delivery platform and has not generated any content delivery tasks on the platform. Such a user can also be referred to as a new user, an ordinary user, or a small or medium-sized customer, etc.

[0059] Specifically, for some users with high professional knowledge, they may need more professional delivery parameter settings to achieve more accurate content delivery. Therefore, for these users, the electronic device does not need to display a simplified delivery task generation page for them. Based on this, before displaying the delivery task generation page, embodiments of the present disclosure first identify the user identity of the current user according to the current user information of the current user. For example, the electronic device can query whether the current user information contains the enterprise qualification of enterprise authentication, or whether it contains the unique identity number or biometric feature of personal authentication, and at the same time query whether the current user corresponds to any generated delivery tasks. If there is enterprise authentication or personal authentication, or there are already generated delivery tasks, then it can be considered that the current user does not belong to the preset identity. Otherwise, if there is no enterprise authentication and personal authentication, and there are no already generated delivery tasks, then it can be determined that the current user belongs to the preset identity and has a need for a simplified delivery task generation page. In this case, the electronic device can execute the process of S320 and subsequent steps. This can further enhance the display flexibility and personalization degree of the delivery task generation page.

[0060] In some embodiments, the display of multiple candidate parameter cards corresponding to preset conversion goals in the parameter configuration area of the delivery task generation page can be implemented as follows: determining the current delivery intention based on the current user information, and determining the recommended parameter cards from the candidate parameter cards based on the matching degree between the current delivery intention and each preset conversion goal; displaying each candidate parameter card in the parameter configuration area and highlighting the recommended parameter cards.

[0061] Among them, the recommended parameter cards are candidate parameter cards automatically recommended to the current user. The current delivery intention is the purpose of delivery obtained by analyzing the delivery needs of the current user. For example, in terms of the dimension of increasing the number of followers (abbreviated as "gaining fans"), it can be an intention to gain fans with high demand, an intention to gain fans with medium demand, and an intention to gain fans with low demand.

[0062] Specifically, the electronic device can analyze the information related to the placement intention in the current user information to identify the current placement intention. For example, if there are few followers in the current user information, it indicates that the exposure of their works may be insufficient, and further, there is a lack of sufficient shallow interactions and deep interactions. At this time, it can be determined that the current placement intention is a follower growth intention with low demand, and the placement improvement dimension focuses more on the exposure of the works; if there are medium number of followers in the current user information, it indicates that the exposure of their works may be sufficient, but there is a lack of sufficient shallow interactions and deep interactions. At this time, it can be determined that the current placement intention is a follower growth intention with medium demand, and the placement improvement dimension focuses more on the quantity of shallow interactions; if there are many followers in the current user information, it indicates that the exposure of their works and the quantity of shallow interactions may be sufficient, but there is a lack of sufficient deep interactions. At this time, it can be determined that the current placement intention is a follower growth intention with high demand, and the placement improvement dimension focuses more on the quantity of deep interactions.

[0063] Then, the electronic device can match the current placement intention with the placement improvement dimensions corresponding to each preset conversion target to determine the preset conversion target with a successful match. For example, if the currently identified placement intention is a follower growth intention with medium demand, then the matching degree between the required placement improvement dimension - the quantity of shallow interactions and the preset conversion target of "like and comment volume" is the highest. Thus, the candidate parameter card corresponding to the preset conversion target of "like and comment volume" with a successful match can be determined as the recommended parameter card. Then, as Figure 4 shown, while the electronic device displays each candidate parameter card in the parameter configuration area 410, it highlights the recommended parameter card. As Figure 4 shown in, the recommended parameter card corresponding to "like and comment volume" is highlighted in the style of thickening the card border and adding a card shadow. This can enable the current user to focus more quickly on the candidate parameter card that better suits their current placement needs, thereby further improving the efficiency of determining the placement parameters.

[0064] S330. In response to the selection operation on the candidate parameter card, determine the target parameter combination for content placement.

[0065] Among them, the target parameter combination is the combination of placement parameters determined by the current user, and it is one of the candidate parameter combinations corresponding to each candidate parameter card.

[0066] Specifically, continue to refer to Figure 4 , the current user can select a candidate parameter card that meets their placement needs from the multiple candidate parameter cards displayed in the parameter configuration area 410 as the target parameter card. And the target parameter card is highlighted. At this time, the candidate parameter combination corresponding to the selected candidate parameter card can be determined as the target parameter combination. This target parameter card can be the above-mentioned recommended parameter card or another un-recommended candidate parameter card.

[0067] S340. In response to a trigger operation on a task generation control in the task generation page for the placement task, generate a content placement task based on the target placement content, the conversion target identifier, and the target parameter combination; the content placement task is used to complete the placement process of the target placement content.

[0068] Among them, the task generation control is an interactive control used to trigger the generation of a content placement task, which can be, for example, an interactive button, a preset interactive gesture, an interactive voice, etc.

[0069] Specifically, continue to refer to Figure 4 , after the current user determines the target placement content and the target recommendation card, the parameter configuration process for content placement is completed. At this time, the current user can perform a trigger operation on the task generation control 430 displayed in the task generation page 400. The electronic device can respond to this trigger operation and perform the generation process of the content placement task: determine the bidding method and the specific underlying model of population targeting when generating the task according to the conversion target identifier; then, combine the target parameter combination, the determined bidding method, and the underlying model of population targeting to generate a content placement task for the target placement content. This content placement task stipulates the duration of continuous incremental placement and the specific population objects to be placed during the targeted placement of the target placement content.

[0070] For example, for the target parameter combination corresponding to "video play volume", when implementing the placement process of the target placement content according to the content placement task, the underlying logic is to determine each final target user to be placed according to the target dimension values of population targeting in the target parameter combination, and adopt the bidding method of maximizing the video play volume to place the target placement content to each target user. Another example, for the target parameter combination corresponding to "like and comment volume", when implementing the placement process of the target placement content according to the content placement task, the underlying logic is to first determine each initial user who may be placed according to the target dimension values of population targeting in the target parameter combination; then, determine from these initial users the users who are more likely to perform interactive behaviors such as liking and / or commenting according to the like and comment model as the final target users to be placed; finally, adopt the bidding method of maximizing the conversion quantity to place the target placement content to each target user. Another example, for the target parameter combination corresponding to "rapid fan growth", when implementing the placement process of the target placement content according to the content placement task, the underlying logic is to first determine each initial user who may be placed according to the target dimension values of population targeting in the target parameter combination; then, determine from these initial users the users who are more likely to perform the interactive behavior of following users (establishing a user binding relationship) according to the fan growth model as the final target users to be placed; finally, adopt the bidding method of maximizing the conversion quantity to place the target placement content to each target user.

[0071] The above content delivery method provided by the embodiments of the present disclosure can, in response to a trigger operation for the delivered content, display a delivery task generation page for content delivery, and display at least one target delivered content in a selected style in the content selection area of the delivery task generation page; display candidate parameter cards corresponding to multiple preset conversion targets in the parameter configuration area of the delivery task generation page, and display the conversion target identifier of the preset conversion target, at least some of the delivery parameters in the candidate parameter combination, and the basis for combination selection in the candidate parameter cards; in response to a selection operation on the candidate parameter cards, determine the target parameter combination for content delivery; in response to a trigger operation on the task generation control in the delivery task generation page, generate a content delivery task based on the target delivered content, the conversion target identifier, and the target parameter combination, for completing the delivery process of the target delivered content; on the one hand, by integrating the delivery conversion target, the corresponding bidding method, and various delivery parameters into the same parameter card for aggregated display, the functional modules and page levels in the delivery task generation page are reduced, thereby reducing the number of interactive switches during the delivery process, lowering the interaction complexity, shortening the interactive process for generating the delivery task, reducing the difficulty of content delivery from the perspective of human-computer interaction, and thus increasing the conversion rate of generating the delivery task from the delivery task generation page; on the other hand, by packaging each delivery parameter into a parameter combination, there is no need for the user to understand the mutual influence logic between the delivery parameters, reducing the difficulty of configuring the delivery parameters, thereby improving the efficiency of configuring the delivery parameters and further increasing the conversion rate of generating the delivery task from the delivery task generation page; on the other hand, by using the conversion target identifier and the basis for combination selection to assist the user in more easily understanding the delivery-related information in each candidate parameter card, thereby reducing the user's cognitive load for content delivery, increasing the possibility of the user continuing with content delivery, and further increasing the conversion rate of generating the delivery task from the delivery task generation page.

[0072] In some embodiments, before S330, the method further includes: if no trigger operation on the candidate parameter card is detected within a first preset duration, display the parameter combination characteristic identifier as the parameter combination characteristic value.

[0073] Wherein, the first preset duration is a preset time period of n seconds, for example, it can be a relatively short duration such as 1 second to 3 seconds. The parameter combination characteristic value is the specific content of the characteristics of the candidate parameter combination. In one example, if the preset conversion target is the content view volume target, the parameter combination characteristic value includes the resource return quantity. In another example, if the preset conversion target is a shallow interaction target or a deep interaction target, the parameter combination characteristic value includes the target dimension value in the dimension of the delivery object.

[0074] Specifically, in order to further increase the user's attention to each candidate parameter card and enhance the reference value of the combination selection basis in each candidate parameter card, the electronic device can display the information on the parameter combination characteristics in at least one candidate parameter card in a dynamic manner. When initially presenting the placement task generation page, the electronic device can display the parameter combination characteristic identifier in at least one candidate parameter card. As Figure 4 shown, the electronic device can directly display the parameter combination characteristic value in the candidate parameter card of the relatively basic "video playback volume", that is, display the display effect guarantee compensation mechanism and its resource return volume, such as the text "Original price compensation for non-compliance with the effect", while first displaying the parameter combination characteristic identifier in the candidate parameter cards of "like and comment volume" and "rapid fan growth", that is, displaying the text "Recommended targeted population". After the page display duration reaches the first preset duration, the electronic device can update and display the above parameter combination characteristic identifier as the corresponding parameter combination characteristic value. As Figure 5 shown, the electronic device can change the display of "Recommended targeted population" in the candidate parameter cards of the above "like and comment volume" and "rapid fan growth" to the target dimension value of the specific targeted population, such as "Recommended to be delivered to males; Region A", etc. In this way, the dynamic change of the parameter combination characteristic identifier can be used to better attract the user's attention to the corresponding candidate parameter card, and the reference of the combination selection basis can be further enhanced through the parameter combination characteristic value, so as to further increase the probability of the candidate parameter card being selected and further increase the generation probability of the content placement task.

[0075] In some embodiments, S330 may specifically include the following steps A to C:

[0076] Step A: If no trigger operation on the candidate parameter card is detected within the second preset duration, then display the selection guide control for each candidate parameter card in the parameter configuration area.

[0077] Among them, the second preset duration is another preset time period m seconds, for example, it can be a relatively long duration such as 3 seconds to 10 seconds, etc. The second preset duration is greater than the first preset duration. The selection guide control is an interactive control for triggering the guiding function, and it is the interactive entry of the guiding function. Here, the guiding function is used to guide the user to make a selection from each candidate parameter card.

[0078] Specifically, if the current user still does not perform a selection operation on any candidate parameter card within the second preset duration after seeing each candidate parameter card, it indicates that the current user still has difficulties in selecting the preset delivery target and its candidate parameter combinations. Based on this, in the embodiments of the present disclosure, more detailed selection bases for candidate parameter cards can be further provided to guide the current user in making selections. The corresponding selection guidance control can be presented in a dynamic style to attract the user's attention to a greater extent, thereby increasing the possibility that the current user triggers the selection guidance control. Therefore, referring to Figure 5 , when the electronic device does not detect a trigger operation on any candidate parameter card within the second preset duration, it can start displaying a selection guidance control 520 for each candidate parameter card at a certain display position in the parameter configuration area ( Figure 5 For example, a selection button presenting a more popular text label "Which package should I choose").

[0079] Step B: In response to a trigger operation on the selection guidance control, display the recommended scenario cards corresponding to each candidate parameter card in the peripheral area of the parameter configuration area, and display a conversion target identifier, a recommended scenario brief introduction, and a card selection control in the recommended scenario cards.

[0080] Among them, the recommended scenario card is a visual card for aggregating and displaying more detailed selection bases for the preset conversion targets corresponding to the candidate parameter cards and the scenarios applicable to their candidate parameter combinations. The recommended scenario brief introduction is brief introductory information about the above applicable scenarios, which can be introductory text and / or pictures of the applicable scenarios. The card selection control is an interactive control for confirming the selection of a certain recommended scenario card, such as a radio button, an interactive gesture, or a voice control, etc.

[0081] Specifically, after the current user performs a trigger operation on the selection guidance control 520, the electronic device can display the recommended scenario cards corresponding to each candidate parameter card in the peripheral area of the parameter configuration area (such as the blank area extended around the selection guidance control, the floating layer area, the floating window area, or a new page, etc.). These recommended scenario cards can be presented in a static arrangement or in a dynamic switching manner. Referring to Figure 6 , the electronic device can present the recommended scenario cards corresponding to three candidate parameter cards in a horizontal switching manner. Referring to Figures 6 - 8For the three recommended scenario cards of "video views", "likes and comments", and "rapid follower growth", the electronic device can display more detailed recommended reasons 610 in text form and the delivery effect 620 in picture form as the recommended scenario introduction to elaborate on when the corresponding preset conversion goal and its candidate parameter combinations should be selected. Meanwhile, the conversion goal identifier 630 can be displayed in the recommended scenario card to clearly show the preset conversion goal and its candidate parameter combinations selected by the user. Additionally, the card selection control 640 (shown as a radio button with the text label "Adopt Immediately" in the figure) can also be displayed in the recommended scenario card. In this way, the current user can switch to view each recommended scenario card to understand in detail the applicable scenarios of each preset conversion goal and its candidate parameter combinations, providing a more detailed data basis for the user to select a candidate parameter card that better meets their needs.

[0082] Step C: In response to the triggering operation on the card selection control, determine the candidate parameter card corresponding to the selected card selection control as the target parameter card and highlight it in the parameter configuration area, and determine the candidate parameter combination corresponding to the target parameter card as the target parameter combination.

[0083] Specifically, if the current user performs a triggering operation on the card selection control 640 in a certain recommended scenario card, it means that the current user selects its corresponding candidate parameter card as the target parameter card. At this time, the electronic device responds to this triggering operation and returns to the parameter configuration area of the delivery task generation page, and highlights this target parameter card in the parameter configuration area. For example, if the current user performs a triggering operation on the card selection control 640 in the recommended scenario card of "rapid follower growth" shown Figure 7 as follows, then as shown Figure 9 below, the electronic device can highlight the target parameter card of "rapid follower growth" in the parameter configuration area. Then, the candidate parameter combination corresponding to the target parameter card can be determined as the target parameter combination. This can further improve the accuracy of the target parameter card selected by the user, thereby further enhancing the content delivery effect.

[0084] In some embodiments, after S310, the method further includes: determining the content delivery type based on the relationship between the current user information and the creator information corresponding to the target delivery content; and displaying the delivery effect introduction corresponding to the content delivery type in the first preset area of the delivery task generation page.

[0085] Among them, the content delivery type is the type to which the content delivery process belongs. For example, it can be self-delivery or agency delivery. The first preset area is a preset display area on the page, which is different from the content selection area and the parameter configuration area. The brief introduction of the delivery effect is brief information about the effects / values that can be brought about by executing the content delivery, which can be in the form of pictures and / or text.

[0086] Specifically, before the electronic device displays the delivery task generation page, it can first determine the content delivery type according to the relationship between the current user and the creator of the target delivery content. For example, if the current user and the creator are the same user, the content delivery type can be determined as the self-delivery type; if the current user and the creator are not the same user, the content delivery type can be determined as the agency delivery type. Then, determine the preset brief introduction of the delivery effect corresponding to the content delivery type, and display it in the first preset area of the delivery task generation page. For example, continue to refer to Figure 4 , when the content delivery type is self-delivery, the brief introduction of the delivery effect of the self-delivery type 440, that is, the text content of "helping to increase followers and creating popular content" and the corresponding cartoon character, can be displayed in the top area of the page. When the content delivery type is agency delivery, the brief introduction of the delivery effect of the agency delivery type 440', that is, the text content of "resonating with the creation and jointly producing popular content with TA" and the corresponding cartoon character, can be displayed in the top area of the page. This can enable users to more vividly understand the value / effect growth brought about by the content delivery as a whole, and to a certain extent encourage users to perform the subsequent generation interaction of the content delivery task.

[0087] In some embodiments, after S310, the method further includes: displaying the historical delivery brief introduction corresponding to other users in the second preset area of the delivery task generation page.

[0088] Among them, the second preset area is another preset display area on the page, which is different from the first preset area, the content selection area, and the parameter configuration area. The historical delivery brief introduction is brief introduction information about the content deliveries that other users have performed during the historical period, which can be an overview of the historical delivery tasks and their delivery effects.

[0089] Specifically, the electronic device can collect historical data of other users' content delivery in a historical time period. Then, the electronic device filters out at least one piece of historical data that meets the preset conditions from the historical data according to at least one of the content delivery type, the current delivery intention, and the historical delivery effect corresponding to the current user. The preset conditions include at least one of having the same content delivery type, a historical delivery conversion target matching the current delivery intention, and the historical delivery effect being positively sorted before a preset position. Alternatively, the electronic device randomly filters out one piece of historical data from the historical data. After that, the electronic device extracts the preset conversion target of the historical delivery task and the delivery effect generated thereby from the filtered historical data, and displays them as a historical delivery profile in the second preset area of the delivery task generation page. For example, continuing to refer to Figure 4 , the electronic device can extract one piece of historical data from multiple pieces of historical data, and use other user information (such as avatars and usernames), preset conversion targets (such as the number of likes and comments), and historical delivery effects (a 42% increase) in it as the historical delivery profile 450 and display it in a certain area of the delivery task generation page. This can further encourage the current user to perform the generation interaction of subsequent content delivery tasks through historical delivery data, thereby further improving the conversion rate of generating content delivery tasks from the delivery task generation page.

[0090] In some embodiments, before displaying at least one target delivery content in a selected style in the content selection area of the delivery task generation page in S310, the method further includes: determining the content quality value of each candidate delivery content based on multiple preset quality evaluation indicators and indicator weights; determining the target delivery content from each candidate delivery content based on each content quality value and a preset quality threshold.

[0091] Among them, the preset quality evaluation indicator is an indicator for evaluating the content quality of candidate delivery content set in advance, which can be determined according to the content recommendation service. For example, it can be the number of content exposures, the number of likes, the number of comments, the number of shares, the 5-second view volume, or the full view volume, etc. The indicator weight is the weight value of the preset quality evaluation indicator, which can be used to determine the importance of each preset instruction evaluation indicator according to the content recommendation service as the corresponding indicator weight. The preset quality threshold is the critical value of the content quality set in advance, which is used to determine whether a certain candidate delivery content is high-quality content. The preset quality threshold can be a fixed quality value. For example, it can be statistically determined according to the content quality values of many pieces of content marked as high-quality content; it can also be a content quality value that changes dynamically according to certain rules. For example, it can be the content quality value at the nth (n is a positive integer greater than or equal to 1) position from the front in the reverse order of multiple content quality values, etc.

[0092] Specifically, a user with a preset identity may not be very clear about how to select among the candidate placement contents to ensure a better placement effect. Therefore, to reduce the difficulty for the user in selecting the placement content, the embodiments of the present disclosure may introduce a high-quality content recommendation logic to recommend at least one target placement content that is more suitable for placement from among the candidate placement contents to be placed by the current user.

[0093] In specific implementation, the electronic device may, for each candidate placement content, obtain the values of each preset quality evaluation index of the candidate placement content. Then, according to the weights of the respective indexes, perform a weighted summation process on the values of the preset quality indexes to obtain the content quality value of each candidate placement content. After that, determine the candidate placement content whose content quality value is greater than or equal to the preset quality threshold as the target placement content.

[0094] In some embodiments, before S320, the method further includes a process of determining a candidate parameter combination, that is: determining the target user type to which the current user belongs, and querying the target mapping relationship based on the target user type to determine the candidate parameter combination adapted to the current user.

[0095] Among them, the target user type is the user type to which the current user belongs. In the embodiments of the present disclosure, each pre-divided user type is called an initial user type to distinguish it from the target user type hit by the current user. The target mapping relationship records the corresponding relationship between the initial user type and the initial parameter combination. The initial parameter combination is the combination of each placement parameter initially determined and adapted to the initial user type, which may include the initially determined placement duration (abbreviated as the initial duration), the initially determined resource transfer amount (abbreviated as the initial resource transfer amount), and the dimension values of each placement object dimension initially determined (abbreviated as the initial dimension value).

[0096] Specifically, to simplify the placement process, the electronic device may pre-provide at least one recommended placement parameter combination (which may also be referred to as a placement package). However, in the related art, the recommended placement parameter combinations are relatively rigid and fixed and cannot meet the placement needs of different users. Therefore, in the embodiments of the present disclosure, multiple users (referred to as other users) who have performed parameter configuration operations of custom placement parameters in the historical time period may be classified according to the above information dimensions to obtain multiple initial user types. Then, statistical analysis is performed on each placement parameter (referred to as the historical custom placement parameter value) that each other user included in each initial user type has configured, and the combination of each historical custom placement parameter value that is more likely to be configured corresponding to each initial user type is obtained as the initial parameter combination corresponding to the corresponding initial user type. In this way, the target mapping relationship of the initial user type - initial parameter combination can be pre-constructed.

[0097] During specific implementation, the electronic device may first classify the current user according to the user classification rules corresponding to the initial user type, such as the information matching degree requirement on the preset information dimension reaching a certain value, to determine the target user type. Then, query the above-mentioned target mapping relationship with the target user type as the index to obtain the initial parameter combination corresponding to the target user type as the candidate parameter combination adapted to the current user. In this way, the same personalized candidate parameter combination can be obtained for each preset conversion target.

[0098] The preset information dimensions based on which the user is classified above may include each information dimension corresponding to the current user and / or the candidate placement content, etc. In the embodiments of the present disclosure, algorithms such as information entropy can be used to find the discriminative information dimensions from many information dimensions, and algorithms such as coefficient of variation can be used to eliminate the information dimensions with high collinearity. Finally, the user dimension, the content category dimension, and the creator dimension are obtained as the preset information dimensions. Therefore, the information used for classifying the current user in the embodiments of the present disclosure includes at least one of the current user information of the current user, the content category label corresponding to the content to be placed, and the creator information corresponding to the content to be placed. The current user information is the relevant information of the current user. For example, it may be the number of followers (also known as fans) owned by the current user, the user value stratification of the current user, etc. The content category label is the category label for classifying the content to be placed. For example, it may be a selfie category label, a food category label, a beauty category label, etc. The creator information refers to the relevant information of the user who created the content to be placed (i.e., the creator information). For example, it may be the creator's gender, the creator's label, etc. The creator label is a label used to distinguish the creation field / direction of the creator. It can be filled in by the creator himself / herself or obtained by the relevant system according to the analysis of the creator's works. For example, it may be a fashion label, a selfie label, a beauty label, and so on.

[0099] In some embodiments, the preset placement target may be added to the process of determining the candidate parameter combination. Then, the process of determining the candidate parameter combination can be implemented as: determining the target user type to which the current user belongs, and querying the target mapping relationship based on the target user type and each preset conversion target to determine the candidate parameter combination for each preset conversion target adapted to the current user. In this way, the corresponding relationship between the initial user type, the preset conversion target, and the initial parameter combination is recorded in the target mapping relationship. In this way, different and more adaptable candidate parameter combinations can be determined for each preset placement target, so as to provide more accurate and more personalized candidate parameter cards.

[0100] It should be noted that, in order to improve the distinguishability between candidate parameter cards and thus provide users with a richer selection space of candidate parameter combinations, the electronic device can set a relatively fixed candidate parameter combination for the preset conversion target of "video playback volume" which is relatively easy to achieve the delivery effect. For example, a simple parameter combination of fixed duration and fixed resource transfer amount provided in related technologies can be used as a relatively basic candidate parameter combination. For the preset conversion targets of "likes and comments volume" and "rapid fan growth" which are relatively difficult to achieve good delivery effects, the electronic device can set more personalized candidate parameter combinations for them. For example, the candidate parameter combinations preferred by the same type of users mentioned above can be used to provide more characteristic functions for the candidate parameter cards of the preset conversion target.

[0101] In some embodiments, the method further includes a process of constructing a target mapping relationship: collecting historical data of multiple other users' custom content delivery in a historical time period; classifying each other user to determine multiple initial user types; determining each initial dimension value corresponding to the initial user type based on the parameter value ratio of each historical custom dimension value corresponding to the initial user type and a preset ratio threshold; respectively determining the initial duration and initial resource transfer amount corresponding to the initial user type based on each historical custom duration and each historical custom resource transfer amount corresponding to the initial user type; constructing a target mapping relationship based on the initial user type, each initial dimension value, the initial duration, and the initial resource transfer amount.

[0102] Among them, the historical data includes other user information, historical delivery content, and each historical custom delivery parameter value. Each historical custom delivery parameter value includes historical custom duration, historical custom resource transfer amount, and historical custom dimension values of each delivery object dimension. The parameter value ratio is the proportion of a custom dimension value on a delivery object dimension among all custom dimension values. The preset ratio threshold is a preset proportion, which is used to determine whether a custom dimension value has the significance of representing the delivery preferences of many users under a user type. The initial dimension value is the dimension value on the delivery object dimension that is relatively likely to be configured for each initial user type.

[0103] Specifically, in view of the fact that there is almost no relevant data on the custom configuration of delivery parameters for users with a preset identity, in the embodiments of the present disclosure, the historical parameter configuration data of professional users other than the preset identity can be used to analyze the configuration preferences of different user types for delivery parameters, and then the current user with the preset identity can be classified to realize the recommendation of the delivery parameter combination preferred by the same type of users. Therefore, the electronic device can collect the user information (i.e., other user information), the content they delivered (i.e., historical delivery content), and the configured delivery parameters (i.e., historical custom delivery parameter values) of multiple other users who have performed professional delivery parameter configuration in a historical time period. These historical data will serve as the data basis for the recommendation of the delivery parameter combination.

[0104] Then, in the process of processing historical data, the electronic device may use the historical information corresponding to at least one of the three preset information dimensions to classify the collected other users and obtain multiple initial user types.

[0105] Then, for the configuration parameters of the targeted population, the electronic device can perform statistical analysis on the historical custom dimension values of each other user corresponding to each initial user type, and calculate the parameter value ratio of each historical custom dimension value in all historical custom dimension values on the same delivery object dimension. Then, the historical custom dimension values whose parameter value ratio is greater than the preset ratio threshold are filtered out as the initial dimension value on the corresponding delivery object dimension. In this way, representative population-targeted delivery parameter values can be obtained. Afterwards, for the delivery duration and delivery resource transfer amount, the electronic device can directly perform statistical analysis on the historical parameter values configured by each other user included in each initial user type, and obtain the duration value and resource transfer amount with a higher proportion (such as exceeding a certain threshold or ranking high) as the initial duration and initial resource transfer amount of the corresponding initial user type. In this way, the electronic device can obtain the initial dimension values, initial duration and initial resource transfer amount corresponding to each initial user type, and can construct a target mapping relationship between the initial user type and the initial parameter combination.

[0106] Similarly, the process of constructing the above-mentioned target mapping relationship can also process the preset delivery target as a statistical dimension. In this way, the process of constructing the above-mentioned target mapping relationship can be implemented as follows: collecting historical data of customized content delivery by multiple other users in the historical time period; the historical customized delivery parameter values in the historical data also include historical customized conversion targets; classifying each other user to determine multiple initial user types; based on the parameter value proportions and preset proportion thresholds of each historical customized dimension value corresponding to the initial user type and the historical customized conversion target, determine each initial dimension value corresponding to the initial user type and the historical customized conversion target; based on each historical customized duration and each historical customized resource transfer amount corresponding to the initial user type and the historical customized conversion target, determine the initial duration and initial resource transfer amount corresponding to the initial user type and the historical customized conversion target. The overall implementation of this process can refer to the above process, except that the dimension of the historical customized conversion target is added during the statistical analysis.

[0107] The following is an embodiment of a content delivery device provided by an embodiment of the present invention. The device and the content delivery methods of the above embodiments belong to the same inventive concept. For details not fully described in the embodiment of the content delivery device, please refer to the embodiment of the above content delivery method.

[0108] Figure 10The figure shows a schematic structural diagram of a content delivery device provided by an embodiment of the present disclosure. As Figure 10 shown, the content delivery device 1000 may include:

[0109] A target delivery content display module 1010, configured to display a delivery task generation page for content delivery in response to a trigger operation of the delivery content, and display at least one target delivery content in a selected style in the content selection area of the delivery task generation page;

[0110] A candidate parameter card display module 1020, configured to display candidate parameter cards corresponding to a plurality of preset conversion targets in the parameter configuration area of the delivery task generation page, and display a conversion target identifier of the preset conversion target, at least some delivery parameters in the candidate parameter combination, and a combination selection basis in the candidate parameter card;

[0111] A target parameter combination determination module 1030, configured to determine a target parameter combination for content delivery in response to a selection operation on the candidate parameter card;

[0112] A content delivery task generation module 1040, configured to generate a content delivery task based on the target delivery content, the conversion target identifier, and the target parameter combination in response to a trigger operation on a task generation control in the delivery task generation page; wherein, the content delivery task is used to complete the delivery process of the target delivery content.

[0113] The above content delivery device provided by the embodiments of the present disclosure can, in response to a trigger operation for delivering content, display a delivery task generation page for content delivery, and display at least one target delivery content in a selected style in the content selection area of the delivery task generation page; display candidate parameter cards corresponding to multiple preset conversion targets in the parameter configuration area of the delivery task generation page, and display the conversion target identifier of the preset conversion target, at least some of the delivery parameters in the candidate parameter combination, and the basis for combination selection in the candidate parameter cards; in response to a selection operation on the candidate parameter cards, determine the target parameter combination for content delivery; in response to a trigger operation on the task generation control in the delivery task generation page, generate a content delivery task based on the target delivery content, the conversion target identifier, and the target parameter combination for completing the delivery process of the target delivery content; on the one hand, by integrating the delivery conversion target, the corresponding bidding method, and various delivery parameters into the same parameter card for aggregated display, the functional modules and page levels in the delivery task generation page are reduced, thereby reducing the number of interactive switches during the delivery process, reducing the interactive complexity, shortening the interactive process of generating the delivery task, reducing the difficulty of content delivery from the perspective of human-computer interaction, and further increasing the conversion rate of generating the delivery task from the delivery task generation page; on the other hand, by packaging each delivery parameter into a parameter combination, the user does not need to understand the mutual influence logic between the delivery parameters, reducing the difficulty of configuring the delivery parameters, thereby improving the efficiency of configuring the delivery parameters and further increasing the conversion rate of generating the delivery task from the delivery task generation page; on the other hand, by using the conversion target identifier and the basis for combination selection to assist the user in more easily understanding the delivery-related information in each candidate parameter card, the cognitive load of the user for content delivery is reduced, the possibility of the user continuing with content delivery is increased, and further increasing the conversion rate of generating the delivery task from the delivery task generation page.

[0114] In some embodiments, the basis for combination selection includes the predicted conversion target improvement amount based on the candidate parameter combination and the parameter combination characteristic identifier corresponding to the preset conversion target.

[0115] In some embodiments, the content delivery device 1000 further includes a parameter combination characteristic value display module for:

[0116] Before determining the target parameter combination for content delivery in response to a selection operation on the candidate parameter cards, if no trigger operation on the candidate parameter cards is detected within the first preset duration, the parameter combination characteristic identifier is displayed as the parameter combination characteristic value; wherein, if the preset conversion target is a content view target, the parameter combination characteristic value includes the resource return amount; if the preset conversion target is a shallow interaction target or a deep interaction target, the parameter combination characteristic value includes the target dimension value in the dimension of the delivery object.

[0117] In some embodiments, the target parameter combination determination module 1030 is specifically configured to:

[0118] If a triggering operation on a candidate parameter card is not detected within a second preset duration, a selection guidance control for each candidate parameter card is displayed in the parameter configuration area;

[0119] In response to a triggering operation on the selection guidance control, recommended scenario cards corresponding to each candidate parameter card are displayed in the peripheral area of the parameter configuration area, and a conversion target identifier, a recommended scenario introduction, and a card selection control are displayed in the recommended scenario cards;

[0120] In response to a triggering operation on the card selection control, the candidate parameter card corresponding to the selected card selection control is determined as the target parameter card and prominently displayed in the parameter configuration area, and the candidate parameter combination corresponding to the target parameter card is determined as the target parameter combination.

[0121] In some embodiments, the content delivery device 1000 further includes a delivery effect introduction display module for:

[0122] After a delivery task generation page for content delivery is displayed in response to a triggering operation on the delivered content, the content delivery type is determined based on the relationship between the current user information and the creator information corresponding to the target delivered content;

[0123] A delivery effect introduction corresponding to the content delivery type is displayed in a first preset area of the delivery task generation page.

[0124] In some embodiments, the content delivery device 1000 further includes a historical delivery introduction display module for:

[0125] After a delivery task generation page for content delivery is displayed in response to a triggering operation on the delivered content, a historical delivery introduction corresponding to other users is displayed in a second preset area of the delivery task generation page.

[0126] In some embodiments, the candidate parameter card display module 1020 is specifically configured to:

[0127] Determine the current delivery intention based on the current user information, and determine recommended parameter cards from each candidate parameter card based on the matching degree between the current delivery intention and each preset conversion target;

[0128] Display each candidate parameter card in the parameter configuration area and prominently display the recommended parameter cards.

[0129] In some embodiments, the content delivery device 1000 further includes a candidate parameter combination determination module for:

[0130] Before displaying candidate parameter cards corresponding to multiple preset conversion targets in the parameter configuration area of the placement task generation page, determine the target user type to which the current user belongs, query the target mapping relationship based on the target user type, and determine the candidate parameter combination suitable for the current user; wherein, the target mapping relationship records the corresponding relationship between the initial user type and the initial parameter combination; the initial parameter combination includes the initial duration, the initial resource transfer amount, and each initial dimension value.

[0131] In some embodiments, the content placement device 1000 further includes a target mapping relationship construction module for:

[0132] Before querying the target mapping relationship based on the target user type and determining the candidate parameter combination suitable for the current user, collect historical data of multiple other users for custom content placement in the historical time period; wherein, the historical data includes other user information, historical placement content, and each historical custom placement parameter value; each historical custom placement parameter value includes the historical custom duration, the historical custom resource transfer amount, and the historical custom dimension value of each placement object dimension;

[0133] Classify each other user to determine multiple initial user types;

[0134] Based on the parameter value ratio of each historical custom dimension value corresponding to the initial user type and the preset ratio threshold, determine each initial dimension value corresponding to the initial user type;

[0135] Based on each historical custom duration and each historical custom resource transfer amount corresponding to the initial user type, determine the initial duration and the initial resource transfer amount corresponding to the initial user type respectively;

[0136] Based on the initial user type, each initial dimension value, the initial duration, and the initial resource transfer amount, construct the target mapping relationship.

[0137] In some embodiments, the content placement device 1000 further includes a target placement content determination module for:

[0138] Before displaying at least one target placement content in a selected style in the content selection area of the placement task generation page, determine the content quality value of each candidate placement content based on multiple preset quality evaluation indicators and indicator weights;

[0139] Based on each content quality value and the preset quality threshold, determine the target placement content from each candidate placement content.

[0140] In some embodiments, the candidate parameter card display module 1020 is further specifically configured to:

[0141] If it is determined that the identity of the current user belongs to a preset identity based on the current user information, candidate parameter cards corresponding to each preset conversion target are displayed in the parameter configuration area of the placement task generation page.

[0142] The content placement device provided by the embodiments of the present invention can execute the content placement method provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0143] It should be noted that in the embodiments of the above content placement device, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present disclosure.

[0144] The embodiments of the present disclosure also provide an electronic device, which may include a processor and a memory, and the memory may be used to store executable instructions. Among them, the processor may be used to read the executable instructions from the memory and execute the executable instructions to implement the content placement method in the above embodiments.

[0145] Figure 11 The structural schematic diagram of an electronic device provided by the embodiments of the present disclosure is shown.

[0146] As Figure 11 shown, the electronic device 1100 may include a processing device 1101 (such as a central processing unit, a graphics processing unit, etc.), which may execute various appropriate actions and processes according to the program stored in the read-only memory (ROM) 1102 or the program loaded from the storage device 1108 into the random access memory (RAM) 1103. In the RAM 1103, various programs and data required for the operation of the electronic device 1100 are also stored. The processing device 1101, the ROM 1102, and the RAM 1103 are connected to each other through a bus 1104. The input / output interface (I / O interface) 1105 is also connected to the bus 1104.

[0147] Generally, the following devices may be connected to the I / O interface 1105: an input device 1106 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 1107 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1108 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1109. The communication device 1109 may allow the electronic device 1100 to communicate with other devices wirelessly or wiredly to exchange data.

[0148] It should be noted that Figure 11 the illustrated electronic device 1100 is merely an example and should not impose any limitation on the functions and scope of use of the embodiments of the present disclosure. That is, although Figure 11 the electronic device 1100 with various devices is illustrated, it should be understood that it is not required to implement or have all the illustrated devices. Instead, more or fewer devices may be implemented or had.

[0149] In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments of the present disclosure include a computer program product that includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes program codes for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 1109, or installed from the storage device 1108, or installed from the ROM 1102. When the computer program is executed by the processing device 1101, it performs the above-mentioned functions defined in the network isolation policy management method of any embodiment of the present disclosure.

[0150] The embodiments of the present disclosure also provide a computer-readable storage medium that stores a computer program, and when the computer program is executed by a processor, the processor is caused to implement the network isolation policy management method in any embodiment of the present disclosure.

[0151] It should be noted that the computer-readable medium described above in the present disclosure can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of a computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device. In the present disclosure, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, in which computer-readable program code is carried. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, and this computer-readable signal medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on a computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wires, optical cables, radio frequency (RF), etc., or any suitable combination of the above.

[0152] In some embodiments, the client and the server can communicate using any currently known or future-developed network protocol such as the Hypertext Transfer Protocol (HTTP), and can be interconnected with digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), the Internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed network.

[0153] The above computer-readable medium can be included in the above electronic device; or it can exist separately without being assembled into the electronic device.

[0154] The above computer-readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the network isolation policy management method described in any embodiment of the present disclosure.

[0155] In embodiments of the present disclosure, computer program code for performing the operations of the present disclosure may be written in one or more programming languages or combinations thereof. The programming languages include, but are not limited to, object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0156] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of devices, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0157] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, without limitation, the exemplary types of hardware logic components that can be used include: Field Programmable Gate Array (FPGA), Application Specific Integrated Circuit (ASIC), Application Specific Standard Parts (ASSP), System on Chip (SOC), Complex Programmable Logic Device (CPLD), and so on.

[0158] The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the present disclosure.

[0159] In addition, although the operations are depicted in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although a number of specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of separate embodiments can also be implemented combinatorially in a single embodiment. Conversely, the various features described in the context of a single embodiment can also be implemented separately or in any suitable sub-combination in multiple embodiments.

[0160] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. On the contrary, the specific features and acts described above are merely example forms for implementing the claims.

Claims

1. A content delivery method, characterized in that, Including: In response to a trigger operation for the content to be delivered, display a delivery task generation page for content delivery, and display at least one target content to be delivered in a selected style in the content selection area of the delivery task generation page; Display candidate parameter cards corresponding to multiple preset conversion targets in the parameter configuration area of the delivery task generation page, and display the conversion target identifier of the preset conversion target, at least some of the delivery parameters in the candidate parameter combination, and the combination selection basis in the candidate parameter cards; In response to a selection operation on the candidate parameter card, determine the target parameter combination for content delivery; In response to a trigger operation on the task generation control in the delivery task generation page, generate a content delivery task based on the target content to be delivered, the conversion target identifier, and the target parameter combination; wherein, the content delivery task is used to complete the delivery process of the target content to be delivered.

2. The method according to claim 1, characterized in that, The combination selection basis includes the predicted conversion target improvement amount based on the candidate parameter combination and the parameter combination characteristic identifier corresponding to the preset conversion target.

3. The method according to claim 2, wherein Before the step of determining the target parameter combination for content delivery in response to a selection operation on the candidate parameter card, the method further includes: If no trigger operation on the candidate parameter card is detected within a first preset duration, display the parameter combination characteristic identifier as a parameter combination characteristic value; wherein, if the preset conversion target is a content view target, the parameter combination characteristic value includes the resource return amount; if the preset conversion target is a shallow interaction target or a deep interaction target, the parameter combination characteristic value includes the target dimension value in the dimension of the delivery object.

4. The method according to claim 1, characterized in that, The step of determining the target parameter combination for content delivery in response to a selection operation on the candidate parameter card includes: If no trigger operation on the candidate parameter card is detected within a second preset duration, display a selection guidance control for each candidate parameter card in the parameter configuration area; In response to a trigger operation on the selection guidance control, display recommended scenario cards corresponding to each candidate parameter card in the peripheral area of the parameter configuration area, and display the conversion target identifier, the recommended scenario brief introduction, and a card selection control in the recommended scenario cards; In response to a trigger operation on the card selection control, determine the candidate parameter card corresponding to the selected card selection control as the target parameter card to be prominently displayed in the parameter configuration area, and determine the candidate parameter combination corresponding to the target parameter card as the target parameter combination.

5. The method according to claim 1, wherein After the step of displaying the delivery task generation page for content delivery in response to a trigger operation for the content to be delivered, the method further includes: Determine the content delivery type based on the relationship between the current user information and the creator information corresponding to the target content to be delivered; Display a brief introduction to the delivery effect corresponding to the content delivery type in the first preset area of the delivery task generation page.

6. The method according to claim 1, wherein After the step of displaying the delivery task generation page for content delivery in response to a trigger operation for the content to be delivered, the method further includes: Display the historical delivery profiles corresponding to other users in the second preset area of the delivery task generation page.

7. The method according to claim 1, wherein Display candidate parameter cards corresponding to multiple preset conversion targets in the parameter configuration area of the delivery task generation page, including: Determine the current delivery intention based on the current user information, and determine the recommended parameter cards from each of the candidate parameter cards based on the matching degree between the current delivery intention and each of the preset conversion targets. Display each of the candidate parameter cards in the parameter configuration area, and highlight the recommended parameter cards.

8. The method according to claim 1, wherein Before displaying candidate parameter cards corresponding to multiple preset conversion targets in the parameter configuration area of the delivery task generation page, the method further includes: Determine the target user type to which the current user belongs, and query the target mapping relationship based on the target user type to determine the candidate parameter combination suitable for the current user; wherein, the target mapping relationship records the corresponding relationship between the initial user type and the initial parameter combination; the initial parameter combination includes the initial duration, the initial resource transfer amount, and each initial dimension value.

9. The method according to claim 8, characterized in that, Before querying the target mapping relationship based on the target user type to determine the candidate parameter combination suitable for the current user, the method further includes: Collect historical data of multiple other users for custom content delivery in a historical time period; wherein, the historical data includes other user information, historical delivery content, and each historical custom delivery parameter value; each historical custom delivery parameter value includes the historical custom duration, the historical custom resource transfer amount, and the historical custom dimension values of each delivery object dimension. Perform classification processing on each of the other users to determine multiple initial user types. Based on the parameter value ratio and the preset ratio threshold of each historical custom dimension value corresponding to the initial user type, determine each initial dimension value corresponding to the initial user type. Based on each historical custom duration and each historical custom resource transfer amount corresponding to the initial user type, respectively determine the initial duration and the initial resource transfer amount corresponding to the initial user type. Construct the target mapping relationship based on the initial user type, each initial dimension value, the initial duration, and the initial resource transfer amount.

10. The method according to claim 1, wherein Before displaying at least one target delivery content in a selected style in the content selection area of the delivery task generation page, the method further includes: Determine the content quality value of each candidate delivery content based on multiple preset quality evaluation indicators and indicator weights. Determine the target delivery content from each of the candidate delivery content based on each content quality value and the preset quality threshold.

11. The method according to claim 1, characterized in that, Display candidate parameter cards corresponding to multiple preset conversion targets in the parameter configuration area of the delivery task generation page, including: If it is determined based on the current user information that the identity of the current user belongs to a preset identity, display the candidate parameter cards corresponding to each of the preset conversion targets in the parameter configuration area of the delivery task generation page.

12. A content delivery device, characterized in that, Include: A target delivery content display module, configured to display a delivery task generation page for content delivery in response to a trigger operation of the delivery content, and display at least one target delivery content in a selected style in a content selection area of the delivery task generation page; A candidate parameter card display module, configured to display candidate parameter cards corresponding to a plurality of preset conversion targets in a parameter configuration area of the delivery task generation page, and display a conversion target identifier of the preset conversion target, at least some delivery parameters in a candidate parameter combination, and a combination selection basis in the candidate parameter card; A target parameter combination determination module, configured to determine a target parameter combination for content delivery in response to a selection operation on the candidate parameter card; A content delivery task generation module, configured to generate a content delivery task based on the target delivery content, the conversion target identifier, and the target parameter combination in response to a trigger operation on a task generation control in the delivery task generation page; wherein the content delivery task is used to complete the delivery process of the target delivery content.

13. An electronic device, characterized in that, Comprising: A processor; A memory, configured to store executable instructions; Wherein, the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the content delivery method according to any one of claims 1-11 above.

14. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, causes the processor to implement the content delivery method according to any one of claims 1-11 above.

15. A computer program product, characterized in that, The computer program product is used to implement the content delivery method according to any one of claims 1-11 above.

Images