Content display method and device, medium, electronic equipment and program product
By obtaining and displaying the multi-level evaluation content of social network accounts, the problem of difficulty in comprehensively measuring the value of account promotion in the existing technology is solved, and the efficient use of information promotion resources is achieved.
Patent Information
- Application Number
- CN202411847408.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-13
- Publication Date
- 2025-03-21
AI Technical Summary
It is difficult for existing technology to comprehensively measure the promotion value of social network accounts, resulting in low effective utilization of information promotion resources.
By obtaining and displaying multi-level evaluation content of the target account, including the account influence in a single posting of recommended content and the account influence in a multiple posting of recommended content, a comprehensive measure of the promotion value of the account.
It has achieved the measurement of the influence of the target account from multiple levels and comprehensively measured its promotion value, thereby improving the effective utilization rate of resources occupied by information promotion.
Smart Images
Figure CN119669577A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of Internet technology, and in particular, to a content display method, device, medium, electronic device and program product. Background Art
[0002] With the development of the Internet, social networks have become the main channel for people to obtain and share information. Information is spread through social networks, such as information promotion through social networks.
[0003] In the related art, information promotion is generally carried out using the accounts of users with certain influence, and the information promotion efficiency of different accounts is different, and thus the effective utilization rate of resources occupied by information promotion is also different. It can be understood that the effective utilization rate of resources in information promotion is closely related to the promotion value of the account that publishes the promotion information. Therefore, in order to improve the effective utilization rate of resources occupied by information promotion, how to measure the promotion value of the account is crucial. Summary of the invention
[0004] This summary is provided to introduce concepts in a brief form that will be described in detail in the detailed description below. This summary is not intended to identify key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.
[0005] In a first aspect, the present disclosure provides a content display method, comprising: In response to a trigger operation on a target account, target evaluation content corresponding to the target account is obtained, wherein the target evaluation content includes first target evaluation content and / or second target evaluation content, the first target evaluation content is used to characterize the account influence of the target account in an event that the target account publishes recommended content once, and the second target evaluation content is used to characterize the account influence of the target account in an event that the target account publishes recommended content multiple times; The target evaluation content is displayed.
[0006] In a second aspect, the present disclosure provides a content display device, including: A response module, configured to obtain target evaluation content corresponding to the target account in response to a trigger operation on the target account, wherein the target evaluation content includes first target evaluation content and / or second target evaluation content, the first target evaluation content is used to characterize the account influence of the target account in an event where the target account publishes recommended content once, and the second target evaluation content is used to characterize the account influence of the target account in an event where the target account publishes recommended content multiple times; A display module is used to display the target evaluation content.
[0007] In a third aspect, the present disclosure provides a computer-readable medium having a computer program stored thereon, which implements the steps of the method described in the first aspect when the computer program is executed by a processing device.
[0008] In a fourth aspect, the present disclosure provides an electronic device, including: a storage device having a computer program stored thereon; A processing device is used to execute the computer program in the storage device to implement the steps of the method described in the first aspect.
[0009] In a fifth aspect, the present disclosure provides a computer program product, including a computer program, which implements the steps of the method described in the first aspect when executed by a processor.
[0010] The account influence of the target account in the event that the target account releases recommended content once reflects the promotion value corresponding to the target account in the single release; the account influence of the target account in the event that the target account releases recommended content multiple times reflects the promotion value accumulated over time by the target account in the multiple releases. Therefore, through the above technical solution, the influence of the target account is measured from multiple levels to comprehensively measure the promotion value of the target account, thereby providing a basis for improving the effective utilization rate of resources occupied by account-based information promotion.
[0011] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale. In the drawings: Figure 1 The figure is a flowchart of a content display method according to an exemplary embodiment of the present disclosure.
[0013] Figure 2 It is a schematic diagram of an interface for displaying target evaluation content according to an exemplary embodiment of the present disclosure.
[0014] Figure 3 It is a schematic diagram of data of propagation dimension according to an exemplary embodiment of the present disclosure.
[0015] Figure 4 It is a schematic diagram of data of the user impression dimension according to an exemplary embodiment of the present disclosure.
[0016] Figure 5 It is a schematic diagram of data of conversion dimension according to an exemplary embodiment of the present disclosure.
[0017] Figure 6 It is a schematic diagram showing the second target evaluation content according to an exemplary embodiment of the present disclosure.
[0018] Figure 7 The present invention is a block diagram of a content display device according to an exemplary embodiment of the present invention.
[0019] Figure 8 It is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION
[0020] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.
[0021] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed 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 respect.
[0022] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part 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.
[0023] 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 or interdependence of the functions performed by these devices, modules or units.
[0024] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".
[0025] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.
[0026] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.
[0027] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.
[0028] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.
[0029] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet the relevant laws and regulations may also be applied to the implementation of the present disclosure.
[0030] At the same time, it is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.
[0031] In the relevant technology, information promotion is generally carried out using the accounts of users with certain influence, and the effectiveness of information promotion of different accounts is not the same, and thus the effective utilization rate of resources occupied by information promotion is also different. It can be understood that the effective utilization rate of information promotion is closely related to the promotion value of the account that publishes the promotion information. Therefore, in order to improve the effective utilization rate of resources occupied by information promotion, how to measure the promotion value of the account is crucial.
[0032] In addition, in related technologies, the promotion value of an account is measured by judging whether the recommended content accurately reaches a certain target group of people. This method weakens the advantages of the recommended content itself, resulting in the problem of being unable to fully measure the promotion value of an account.
[0033] In view of this, the embodiments of the present disclosure provide a content display method, device, medium, electronic device and program product to solve the above-mentioned technical problems existing in the related art.
[0034] The embodiments of the present disclosure are further explained and illustrated below in conjunction with the accompanying drawings.
[0035] Figure 1 is a flowchart of a content display method according to an exemplary embodiment of the present disclosure. Figure 1 , the method may include the following steps: Step 110, in response to a trigger operation on a target account, obtaining target evaluation content corresponding to the target account, wherein the target evaluation content includes first target evaluation content and / or second target evaluation content, the first target evaluation content is used to characterize the account influence of the target account in an event where the target account publishes recommended content once, and the second target evaluation content is used to characterize the account influence of the target account in an event where the target account publishes recommended content multiple times; Step 120: Display the target evaluation content.
[0036] The account influence of the target account in the event that the target account releases recommended content once reflects the promotion value corresponding to the target account in the single release; the account influence of the target account in the event that the target account releases recommended content multiple times reflects the promotion value accumulated over time by the target account in the multiple releases. Therefore, through the above technical solution, the influence of the target account is measured from multiple levels to comprehensively measure the promotion value of the target account, thereby providing a basis for improving the effective utilization rate of resources occupied by account-based information promotion.
[0037] In the present disclosure, the electronic device may be a platform that provides a user with a platform for querying the evaluation content of an account. The platform may display an interface that supports querying the evaluation content of an account, and the user may search for a target account using a search control on the interface and perform a trigger operation on the query control. As an example, the trigger operation may be a single-click operation or a double-click operation, etc.
[0038] In the present disclosure, the target account is an account whose attention level is greater than a preset attention level. The attention level can be characterized according to the number of users who follow the account. For example, if the number of users who follow the account is greater than a preset number, it is characterized that the attention level of the account is greater than the preset attention level.
[0039] In the present disclosure, the target evaluation content may be directly obtained from the local storage of the electronic device, or may be obtained from a third-party device, and the present disclosure does not limit this.
[0040] In the present disclosure, the recommended contents in a single recommended content publishing event and in multiple recommended content publishing events may be related, that is, the recommended objects of the recommended contents are the same object. As an example, the recommended object may be a commodity object.
[0041] Before continuing to explain the embodiments of the present disclosure, it is worth noting that the acquired data related to the user is acquired with the authorization of the user.
[0042] Figure 2 FIG. 1 is a schematic diagram of an interface for displaying target evaluation content according to an exemplary embodiment of the present disclosure. Figure 2 The embodiment of the present disclosure is further explained and illustrated by taking the recommended content as video content as an example.
[0043] In a possible manner, the above-mentioned step of obtaining the target evaluation content corresponding to the target account in response to the trigger operation on the target account may include the following steps: in response to the trigger operation on the target account, obtaining relevant data of the recommended content published by the target account; determining the target level of the recommended content in multiple evaluation dimensions based on the relevant data, and the multiple evaluation dimensions include the dissemination dimension, the user impression dimension and the conversion dimension; and determining the first target evaluation content based on the target level of at least one evaluation dimension.
[0044] In one embodiment of the present disclosure, the multiple evaluation dimensions may include a dissemination dimension, a user impression dimension, and a conversion dimension. The relevant data used to determine different evaluation dimensions may be different. The process of determining each evaluation dimension based on the relevant data of the recommended content can refer to the following embodiment, which is not described in detail in this embodiment.
[0045] The target level of each evaluation dimension may be represented by a score of 0-100, or may be represented by letters A, B, C, etc. The present disclosure is exemplified below using scores as an example.
[0046] In one embodiment of the present disclosure, the first target evaluation content may be determined based on a weighted method. In this case, according to the target level of at least one evaluation dimension, the step of determining the first target evaluation content may include: using preset weights corresponding to different evaluation dimensions, weighting the target levels of all evaluation dimensions, and obtaining a total evaluation score.
[0047] The preset weights corresponding to different evaluation dimensions may be pre-set. For example, the preset weight of the communication dimension may be 40%, the preset weight of the user impression dimension may be 30%, and the preset weight of the conversion dimension may be 30%.
[0048] Reference Figure 2 , Figure 2 The score corresponding to the comprehensive performance can be understood as the total evaluation score, which can be obtained by weighting the scores corresponding to the communication dimension, user impression dimension and conversion dimension.
[0049] The first target evaluation content may also include the scores of each evaluation dimension, and the scores may be obtained by, for example Figure 2 It is worth noting that Figure 2 The propagation levels shown can be understood as target levels for the propagation dimension. Figure 2 The impression level shown can be understood as the target level of the user impression dimension. Figure 2 The conversion levels shown can be understood as target levels for the conversion dimension.
[0050] The first target evaluation content may also include CPM (Cost Per Mille, cost per thousand impressions), CPE (Cost Per Engagement, cost per engagement), CTR (Click-Through Rate, click-through rate) and CPA (Cost Per Action, cost per action) data, for example Figure 2 CPM, CPE and CTR related data are shown. For the explanation of CPM, CPE, CTR and CPA data, please refer to the relevant technology, which will not be described in detail in this embodiment.
[0051] It is worth mentioning that the dissemination dimension can reflect the content quality of the recommended content released by the target account, the user impression dimension can reflect the impression of users who watch the recommended content released by the target account on the recommended object corresponding to the recommended content, and the conversion dimension can reflect the conversion status of the recommended content released by the target account. Therefore, through the above method, when determining the first target evaluation content, the account influence of the target account in a single release of recommended content event is measured from multiple evaluation dimensions such as the dissemination dimension, the user impression dimension and the conversion dimension, thereby avoiding the situation of only focusing on the conversion dimension and ignoring other evaluation dimensions, and improving the comprehensiveness of evaluating the account influence of the target account in a single release of recommended content event by the target account.
[0052] In a possible manner, the evaluation dimension includes a dissemination dimension, and the corresponding relevant data may include first data, second data, and third data, wherein the first data is used to characterize the reach of the recommended content after it is released, the second data is used to characterize the playback effect of the recommended content after it is released, and the third data is used to characterize the cost of displaying the recommended content. Based on this, the above step of determining the target level of the recommended content in multiple evaluation dimensions based on the relevant data may include: determining the target level of the recommended content in the dissemination dimension based on the first data, the second data, and the third data.
[0053] Among them, the reach of the recommended content after it is released, the playback effect of the recommended content after it is released, and the cost of displaying the recommended content can be determined through a variety of indicators.
[0054] For example, for the reach of recommended content after it is released, the indicators used may include the number of views of the recommended content, the number of comments on the recommended content, the number of likes on the recommended content, and the number of shares of the recommended content.
[0055] For another example, regarding the playback effect of recommended content after it is released, the indicators used may include the complete playback rate of the recommended content, the interaction rate of the recommended content, and the average playback time of the recommended content.
[0056] For example, for the cost of displaying recommended content, the indicators used may include cost per thousand views (CPM) and cost per engagement (CPE).
[0057] Specifically, the first data, the second data, and the third data may be represented by specific scores. In this case, the first data, the second data, and the third data may be weighted according to the preset weights corresponding to the first data, the second data, and the third data, respectively, to obtain the target level of the recommended content in the dissemination dimension.
[0058] In addition, it can be seen from the above content that the first data, the second data and the third data can be characterized by multiple indicators respectively. Therefore, weights can be configured for each indicator used to determine the target data, and then weighted based on the weights to obtain the score corresponding to the target data. It can be understood that the target data here includes any one of the first data, the second data and the third data.
[0059] Figure 3 is a schematic diagram of data of propagation dimension according to an exemplary embodiment of the present disclosure. Figure 3 It can be seen that the first objective evaluation content can also include the data of various indicators involved in the communication dimension, such as the number of views, comments, likes and shares, etc. Figure 3 As shown, these data can be presented in graphs.
[0060] Through the above method, the target level of recommended content in the dissemination dimension is measured from multiple aspects such as the reach after the recommended content is released, the playback effect after the recommended content is released, and the cost of displaying the recommended content, providing a data basis for accurately measuring the promotion value of the target account.
[0061] In a possible manner, the evaluation dimension includes a user impression dimension, and the corresponding related data includes fourth data and fifth data, the fourth data is used to characterize the search popularity of the recommended object corresponding to the recommended content after the recommended content is released, and the fifth data is used to characterize the user's feedback on the recommended object corresponding to the recommended content after the recommended content is released. Based on this, the above step of determining the target level of the recommended content in multiple evaluation dimensions based on the related data may also include: determining the target level of the recommended content in the user impression dimension based on the fourth data and the fifth data.
[0062] Figure 4 FIG. 1 is a schematic diagram showing data of a user impression dimension according to an exemplary embodiment of the present disclosure. Figure 4 The embodiments of the present disclosure are further explained and illustrated.
[0063] The search popularity can be determined by the daily search popularity of the recommended object corresponding to the recommended content in the search cycle. The search cycle is the period after the recommended content is released, and can be configured according to actual conditions, for example, by Figure 4 The search cycle can be set by the start date and end date in . In addition, the daily search popularity can be represented by the ratio of the number of searches triggered by the recommended object corresponding to the recommended content on that day to the number of all searches triggered on that day in the platform.
[0064] Among them, the feedback of the recommended object corresponding to the recommended content may include at least one of positive attitude feedback, positive attitude feedback and neutral attitude feedback. Further, the fifth data can be determined by multiple indicators, and the multiple indicators may include the proportion of people who post neutral comments, the proportion of people who post negative comments, and the proportion of people who post positive comments. Taking the proportion of neutral comments as an example, it can be represented by the ratio between the number of people who post neutral comments and the total number of people who post all comments. The method for determining the proportion of people who post negative comments and the proportion of people who post positive comments can refer to the method for determining the proportion of neutral comments, and this embodiment will not be repeated here.
[0065] Among them, the fourth data and the fifth data may be characterized by specific scores. In this case, the fourth data and the fifth data may be weighted according to the preset weights corresponding to the fourth data and the fifth data, respectively, to obtain the target level of the recommended content in the user impression dimension. In addition, similar to the first data, the second data, and the third data, when the data are characterized by multiple indicators, weights may be configured for each indicator used to determine the data, and then weighted based on the weights to obtain the scores corresponding to the data.
[0066] Continue to refer to Figure 4 The first target evaluation content can also include positive comments and support users to search for comments; the first target evaluation content can also include the popularity of search on each date; the first target evaluation content can also include the proportion of people who have provided feedback; the first target evaluation content can also include popular keywords in the comments, etc.
[0067] Through the above method, the target level of recommended content in the user impression dimension is measured from the two aspects of search popularity and user feedback, providing a data basis for accurately measuring the promotion value of the target account.
[0068] In a possible manner, the evaluation dimension includes a conversion dimension, and the corresponding related data includes sixth data and seventh data, and the sixth data is used to characterize the conversion data of the recommended content after the recommended content is released. Based on this, the above step of determining the target level of the recommended content in multiple evaluation dimensions based on the related data may also include: determining the target level of the recommended content in the conversion dimension based on the sixth data.
[0069] It is worth noting that the conversion data can be represented by multiple conversion-related indicators, which may include the exposure of the conversion component, the click volume of the conversion component, the conversion volume and the conversion cost, etc. Furthermore, the conversion cost may include the average conversion cost and the transaction amount per thousand views.
[0070] The sixth data may be represented by a specific score. When the sixth data is represented by the above-mentioned indicators related to conversion, the values corresponding to all indicators may be weighted according to the weights configured for each indicator, thereby obtaining the sixth data.
[0071] Figure 5 is a schematic diagram of data of conversion dimension according to an exemplary embodiment of the present disclosure. Figure 5 It can be seen that the first goal evaluation content can also include a funnel model, which can reflect the exposure (display volume) of the component used for conversion, the click volume and conversion volume of the component used for conversion. The first goal evaluation content can also include click-through rate, conversion rate and display conversion rate. The calculation method of click-through rate, conversion rate and display conversion rate can refer to Figure 5 As shown.
[0072] Continue to refer to Figure 5 The first target evaluation also includes the comparison of each data with similar data. For example, taking the component display volume as an example, Figure 5 It also shows the comparison between the recommended content published by the target account and the products of the same purpose, such as Figure 5 The "70% higher than the products in the same category" is shown. For another example, take click-through rate as an example. Figure 5 It also shows the comparison between the target account and other similar accounts, such as Figure 5 The "top 25% of similar accounts" is shown in the figure. Through the above method, the target level of the conversion dimension is determined by using the conversion data of the conversion link of the recommended content after the recommended content is released, providing a data basis for accurately measuring the promotion value of the target account.
[0073] In a possible manner, the target evaluation content includes a second target evaluation content. The above-mentioned step of obtaining the target evaluation content corresponding to the target account in response to the trigger operation on the target account may also include: obtaining a first user distribution, the first user distribution is used to characterize the distribution of the number of users of different user groups before the target account publishes multiple recommended contents, and different user groups have different degrees of relationship with the recommended objects corresponding to the recommended contents; obtaining a second user distribution, the second user distribution characterizes the distribution of the number of users of different user groups after publishing multiple recommended contents; determining a comparison result of the number of users of the same user group before and after publishing multiple recommended contents based on the first user distribution and the second user distribution; and determining the second target evaluation content based on the comparison result.
[0074] Among them, different user groups have different degrees of relationship with the recommended object corresponding to the recommended content. For example, the user groups can be divided into group A, group B, group C, group D and group E. Group A can be a user group that only knows the recommended object, group B can be a user group that has a first degree of interest in the recommended object, group C can be a user group that has a second degree of interest in the recommended object, group D can be a user group that has purchased the recommended object, and group E can be a user group that has purchased the recommended object multiple times. Among them, the first degree of interest is less than the second degree of interest.
[0075] Among them, the second target evaluation content can be a comparison result represented by chart data. Figure 6 FIG. 1 is a schematic diagram showing the second target evaluation content according to an exemplary embodiment of the present disclosure. Figure 6 , Figure 6 The comparison results of the number of users in different user groups before and after publishing multiple recommended contents are shown. Figure 6 , users can set the number of days after release, i.e. Figure 6 The number of days in the 3 days shown can be configured according to actual conditions. Figure 6 The second target evaluation content may also include a text description of the change in the number of a certain user group before and after the release.
[0076] In the above manner, by using the comparison results of the number of users in the same user group before and after publishing multiple recommended contents, it is possible to reflect the account influence of the target account when the target account publishes recommended contents for a long time.
[0077] It is worth noting that in the weighting of the above embodiment, for the weighted calculation of different dimensions or different indicators, it is necessary to first normalize the values corresponding to the different dimensions or different indicators, and then perform the weighted calculation on the basis of the normalization.
[0078] From the above content, we can see that by displaying the above content, the usage penetration rate of each module can be improved. It is worth noting that the modules here, for example Figure 2 As shown in the modules such as the propagation dimension and the user impression dimension, the usage penetration rate of a module refers to the proportion of the number of times the corresponding content of the module is viewed in all the times the corresponding interface of the target evaluation content is viewed, among which, triggering the display of the target evaluation content once can be understood as determining that the corresponding interface of the target evaluation content is viewed once.
[0079] Figure 7 is a block diagram of a content display device according to an exemplary embodiment of the present disclosure. Figure 7 , the content display device 700 may include: A response module 701 is used to obtain target evaluation content corresponding to the target account in response to a trigger operation on the target account, wherein the target evaluation content includes a first target evaluation content and / or a second target evaluation content, the first target evaluation content is used to characterize the account influence of the target account in an event that the target account publishes recommended content once, and the second target evaluation content is used to characterize the account influence of the target account in an event that the target account publishes recommended content multiple times; The display module 702 is used to display the target evaluation content.
[0080] Optionally, the target evaluation content includes the first target evaluation content, and the response module 701 includes: A first response submodule, configured to obtain relevant data of recommended content published by a target account in response to a trigger operation on the target account; A first determination submodule is used to determine, based on the relevant data, a target level of the recommended content in multiple evaluation dimensions, wherein the multiple evaluation dimensions include a dissemination dimension, a user impression dimension, and a conversion dimension; The second determination submodule is used to determine the first target evaluation content according to the target level of at least one of the evaluation dimensions.
[0081] Optionally, the first target evaluation content includes a total evaluation score, and the target level is represented by a score. The second determination submodule is further used to adopt preset weights corresponding to different evaluation dimensions, respectively, to weight the target levels of all the evaluation dimensions to obtain the total evaluation score.
[0082] Optionally, the evaluation dimension includes the communication dimension, the relevant data includes first data, second data and third data, the first data is used to characterize the reach of the recommended content after it is released, the second data is used to characterize the playback effect of the recommended content after it is released, and the third data is used to characterize the cost of displaying the recommended content. The first determination submodule is further used to: A target level of the recommended content in the propagation dimension is determined based on the first data, the second data and the third data.
[0083] Optionally, the evaluation dimension includes the user impression dimension, the related data includes fourth data and fifth data, the fourth data is used to characterize the search popularity of the recommended object corresponding to the recommended content after the recommended content is released, and the fifth data is used to characterize the user's feedback on the recommended object corresponding to the recommended content after the recommended content is released, and the first determination submodule is further used to: A target level of the recommended content in the user impression dimension is determined based on the fourth data and the fifth data.
[0084] Optionally, the evaluation dimension includes the conversion dimension, the related data includes sixth data, and the sixth data is used to characterize the conversion data of the conversion link of the recommended content after the recommended content is released. The first determination submodule is further used to: A target level of the recommended content in the conversion dimension is determined based on the sixth data.
[0085] Optionally, the target evaluation content includes the second target evaluation content, and the response module 701 includes: A first acquisition submodule is used to acquire a first user distribution, where the first user distribution is used to characterize the distribution of the number of users of different user groups before the target account publishes a plurality of recommended contents, and different user groups have different degrees of relationship with the recommended objects corresponding to the recommended contents; A second acquisition submodule is used to acquire a second user distribution, where the second user distribution represents the distribution of the number of users of the different user groups after the plurality of recommended contents are published; A third determining submodule, configured to determine, according to the first user distribution and the second user distribution, a comparison result of the number of users in the same user group before and after the plurality of recommended contents are published; The fourth determination submodule is used to determine the second target evaluation content according to the comparison result.
[0086] The implementation of each module in the above-mentioned content display device 700 can refer to the above-mentioned related embodiments, and this embodiment will not be described in detail here.
[0087] An embodiment of the present disclosure provides a computer-readable medium having a computer program stored thereon, wherein the computer program implements the steps of the above-mentioned content display method when executed by a processing device.
[0088] The embodiment of the present disclosure provides a computer program product, including a computer program, characterized in that when the computer program is executed by a processor, the steps of the above-mentioned content display method are implemented.
[0089] An embodiment of the present disclosure provides an electronic device, characterized by comprising: a storage device having a computer program stored thereon; A processing device is used to execute the computer program in the storage device to implement the steps of the above-mentioned content display method.
[0090] Reference below Figure 8 , which shows a schematic diagram of the structure of an electronic device 800 suitable for implementing the embodiment of the present disclosure. The terminal device in the embodiment of the present disclosure may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 8 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.
[0091] like Figure 8 As shown, the electronic device 800 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage device 808 to a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device 800 are also stored. The processing device 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.
[0092] Typically, the following devices may be connected to the I / O interface 805: an input device 806 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 807 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 808 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 809. The communication device 809 may allow the electronic device 800 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 8The electronic device 800 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.
[0093] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 809, or installed from a storage device 808, or installed from a ROM 802. When the computer program is executed by the processing device 801, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.
[0094] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may 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 or flash memory), an optical fiber, a portable compact disk 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 may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.
[0095] In some embodiments, the electronic devices may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.
[0096] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device.
[0097] The above-mentioned computer-readable medium carries one or more programs. When the above-mentioned one or more programs are executed by the electronic device, the electronic device: in response to a trigger operation on a target account, obtains target evaluation content corresponding to the target account, wherein the target evaluation content includes a first target evaluation content and / or a second target evaluation content, the first target evaluation content is used to characterize the account influence of the target account in an event where the target account publishes recommended content once, and the second target evaluation content is used to characterize the account influence of the target account in an event where the target account publishes recommended content multiple times; and displays the target evaluation content.
[0098] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a 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).
[0099] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0100] The modules involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a module does not, in some cases, limit the module itself.
[0101] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.
[0102] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0103] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. 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 a 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 disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.
[0104] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.
[0105] Although the subject matter has been described in language specific to structural features and / or method logic actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims. Regarding the device in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Claims
1. A content display method, characterized in that: include: In response to a trigger operation on a target account, target evaluation content corresponding to the target account is obtained, wherein the target evaluation content includes first target evaluation content and / or second target evaluation content, the first target evaluation content is used to characterize the account influence of the target account in an event that the target account publishes recommended content once, and the second target evaluation content is used to characterize the account influence of the target account in an event that the target account publishes recommended content multiple times; The target evaluation content is displayed.
2. The method according to claim 1, characterized in that The target evaluation content includes the first target evaluation content, and the obtaining of the target evaluation content corresponding to the target account in response to the trigger operation on the target account includes: In response to a trigger operation on a target account, obtaining data related to recommended content published by the target account; Determining, based on the relevant data, a target level of the recommended content in multiple evaluation dimensions, wherein the multiple evaluation dimensions include a dissemination dimension, a user impression dimension, and a conversion dimension; The first target evaluation content is determined according to a target level of at least one of the evaluation dimensions.
3. The method according to claim 2, characterized in that The first target evaluation content includes a total evaluation score, the target level is represented by a score, and the determining of the first target evaluation content according to the target level of at least one of the evaluation dimensions includes: The target levels of all the evaluation dimensions are weighted using the preset weights corresponding to the different evaluation dimensions to obtain the total evaluation score.
4. The method according to claim 2, characterized in that: The evaluation dimension includes the communication dimension, the relevant data includes first data, second data and third data, the first data is used to characterize the reach of the recommended content after it is released, the second data is used to characterize the playback effect of the recommended content after it is released, and the third data is used to characterize the cost of displaying the recommended content, and determining the target level of the recommended content in multiple evaluation dimensions according to the relevant data includes: A target level of the recommended content in the propagation dimension is determined based on the first data, the second data and the third data.
5. The method according to claim 2, characterized in that: The evaluation dimension includes the user impression dimension, the related data includes fourth data and fifth data, the fourth data is used to characterize the search popularity of the recommended object corresponding to the recommended content after the recommended content is released, and the fifth data is used to characterize the user's feedback on the recommended object corresponding to the recommended content after the recommended content is released, and the target level of the recommended content in multiple evaluation dimensions is determined according to the related data, and further includes: A target level of the recommended content in the user impression dimension is determined based on the fourth data and the fifth data.
6. The method according to claim 2, characterized in that The evaluation dimension includes the conversion dimension, the related data includes sixth data, and the sixth data is used to characterize the conversion data of the conversion link of the recommended content after the recommended content is released. The determining the target level of the recommended content in multiple evaluation dimensions according to the related data also includes: A target level of the recommended content in the conversion dimension is determined based on the sixth data.
7. The method according to claim 1, characterized in that The target evaluation content includes the second target evaluation content, and the obtaining of the target evaluation content corresponding to the target account in response to the trigger operation on the target account includes: Obtaining a first user distribution, where the first user distribution is used to characterize the distribution of the number of users of different user groups before the target account publishes the multiple recommended contents, and different user groups have different degrees of relationship with the recommended objects corresponding to the recommended contents; Acquire a second user distribution, where the second user distribution represents a distribution of the number of users of the different user groups after the plurality of recommended contents are published; Determine, according to the first user distribution and the second user distribution, a comparison result of the number of users in the same user group before and after the plurality of recommended contents are published; According to the comparison result, the second target evaluation content is determined.
8. A content display device, characterized in that: include: A response module, configured to obtain target evaluation content corresponding to the target account in response to a trigger operation on the target account, wherein the target evaluation content includes first target evaluation content and / or second target evaluation content, the first target evaluation content is used to characterize the account influence of the target account in an event where the target account publishes recommended content once, and the second target evaluation content is used to characterize the account influence of the target account in an event where the target account publishes recommended content multiple times; A display module is used to display the target evaluation content.
9. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processing device, the steps of the method according to any one of claims 1 to 7 are implemented.
10. An electronic device, characterized in that: include: a storage device having a computer program stored thereon; A processing device, configured to execute the computer program in the storage device to implement the steps of the method according to any one of claims 1 to 7.
11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.