Information display method and device, electronic equipment, storage medium and program product
By entering video attributes on the video analysis page and displaying the recommended video and its target recommendation categories, the problem of difficulty in capturing the change in popularity in video recommendation is solved, and a more effective video recommendation effect is achieved.
Patent Information
- Application Number
- CN202510167904.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-14
- Publication Date
- 2025-06-06
AI Technical Summary
During the video recommendation process, it is difficult to capture the video popularity changes in time, which affects the video recommendation effect.
By displaying the video analysis page, after entering the video attributes, display the recommended video and its target recommended category. The target recommendation category is determined based on the target playback volume of recommended videos without promotion and the new additions to the demand-side target objects caused by the release.
Use the target recommendation type to capture video popularity changes, adjust the recommendation method, and improve the video recommendation effect.
Smart Images

Figure CN120104829A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of data processing technology, and in particular to an information display method, device, electronic device, storage medium and program product. Background Art
[0002] With the rapid development of short videos, more and more demanders are beginning to use videos to showcase the characteristics of brands or products so that the outside world can better understand the brands or products. However, in the process of video recommendation, it is often difficult to capture the changes in video popularity in a timely manner, which affects the effect of video recommendation. Summary of the invention
[0003] In view of this, the present disclosure provides an information display method, device, electronic device, storage medium and program product to solve the problem of video recommendation.
[0004] In a first aspect, the present disclosure provides an information display method, the method comprising:
[0005] Displaying a video analysis page, the video analysis page including input controls;
[0006] In response to the video attributes input in the input control, the recommended video corresponding to the video attribute and the target recommendation category of the recommended video are displayed on the video analysis page, the recommended video is associated with the demander, and the target recommendation category is determined based on the target playback volume of the recommended video without promotion and the increase of target objects of the demander brought about by the release of the recommended video, and the target objects include objects that are interested in the associated information of the demander.
[0007] In a second aspect, the present disclosure provides an information display device, the device comprising:
[0008] A first display module, configured to display a video analysis page, wherein the video analysis page includes an input control;
[0009] A second display module is used to respond to the video attributes input in the input control, and display the recommended video corresponding to the video attributes and the target recommendation category of the recommended video on the video analysis page, wherein the recommended video is associated with the demander, and the target recommendation category is determined based on the target playback volume of the recommended video without promotion and the increase of the target objects of the demander brought about by the release of the recommended video, and the target objects include objects that are interested in the associated information of the demander.
[0010] In a third aspect, the present disclosure provides an electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the information display method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.
[0011] In a fourth aspect, the present disclosure provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the information display method of the first aspect or any corresponding embodiment thereof.
[0012] In a fifth aspect, the present disclosure provides a computer program product, including computer instructions, which are used to enable a computer to execute the information display method of the first aspect or any corresponding embodiment thereof.
[0013] The information display method provided by the disclosed embodiment displays the target recommendation type of the recommended video while displaying the recommended video; wherein the target recommendation type is determined based on the target playback volume of the recommended video without promotion and the increase in the target objects of the demand side brought about by the release of the recommended video. Therefore, in the process of video recommendation, the target recommendation type can be used to capture the changes in video popularity, so as to determine the recommendation method applicable to the recommended video, and timely adjust the recommendation method of the recommended video, thereby effectively improving the video recommendation effect.
[0014] The beneficial effects of the information display device, the electronic device, the storage medium, and the program product correspond to the beneficial effects of the information display method and will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the specific embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the specific embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0016] Figure 1 is a flowchart of an information display method according to an embodiment of the present disclosure;
[0017] Figure 2 is a schematic diagram of a video analysis page according to an embodiment of the present disclosure;
[0018] Figure 3 is a flowchart of a method for determining a target recommendation type according to an embodiment of the present disclosure;
[0019] Figure 4is a flowchart of another information display method according to an embodiment of the present disclosure;
[0020] Figure 5 is a schematic diagram of another video analysis page according to an embodiment of the present disclosure;
[0021] Figure 6 is a structural block diagram of an information display device according to an embodiment of the present disclosure;
[0022] Figure 7 is a structural block diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION
[0023] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.
[0024] It is understandable that before using the technical solutions disclosed in the embodiments of this disclosure, the categories, scope of use, usage scenarios, etc. of the personal information involved in this 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.
[0025] 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.
[0026] 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.
[0027] 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.
[0028] 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.
[0029] With the rapid development of short videos, more and more demanders are beginning to use videos to showcase the characteristics of brands or products so that the outside world can better understand the brands or products. However, in the process of video recommendation, it is often difficult to capture the changes in video popularity in a timely manner, which affects the effect of video recommendation.
[0030] In view of this, according to an embodiment of the present disclosure, an information display method embodiment is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0031] In this embodiment, an information display method is provided, which can be used in electronic devices such as computers, mobile terminals, etc. Figure 1 is a flow chart of an information display method according to an embodiment of the present disclosure, such as Figure 1 As shown, the process includes the following steps:
[0032] Step S101, displaying a video analysis page, where the video analysis page includes input controls.
[0033] Optionally, the input control includes at least one sub-control of a category attribute. The category attribute includes at least one of the demander of the recommended video and the industry to which it belongs. In addition, the category attribute may also include the video release time, video volume, etc., which may be adjusted according to actual conditions.
[0034] Step S102, in response to the video attributes input in the input control, the recommended videos corresponding to the video attributes and the target recommendation categories of the recommended videos are displayed on the video analysis page. The recommended videos are associated with the demanders. The target recommendation categories are determined based on the target playback volume of the recommended videos without promotion and the increase in target objects of the demanders brought about by the release of the recommended videos. The target objects include objects that are interested in the associated information of the demanders.
[0035] Specifically, in response to the information input into the input control, the video attribute is obtained. Alternatively, in response to the interactive operation into the input control, at least one optional attribute is displayed (which may be displayed in the form of a drop-down list), and in response to the selection instruction for the optional attribute, the video attribute is determined. Alternatively, at least one recommended attribute is displayed in the corresponding area of the input control, and in response to the selection instruction for the recommended attribute, the recommended attribute is input into the input control to obtain the video attribute. The method for determining the video attribute is not limited herein.
[0036] Further, if the input control includes one or more sub-controls of category attributes, the above step S102 includes: determining the video attribute in response to the information input in the target sub-control, wherein the target sub-control belongs to at least one sub-control of the category attribute. In response to the determined video attribute, displaying the recommended video corresponding to the video attribute and the target recommendation category of the recommended video on the video analysis page.
[0037] Optionally, the demander is the brand of the recommended video, or other users who use the recommended video to showcase their brands, products, and services.
[0038] In actual applications, the associated information of the demander includes the recommended videos corresponding to the demander and the related content corresponding to the demander other than the recommended videos; wherein the related content includes text information related to the demander, such as product information, description information of the demander, activity information of the demander, etc.
[0039] It should be noted that in actual applications, it is possible to determine whether the recommended video is played in a promotional or non-promotional situation through the playback channel of the recommended video. Specifically, the promotion channel is pre-set. If the recommended video is played through a non-promotional channel, the playback of the recommended video is recorded as the playback volume in the non-promotional situation. If the recommended video is played through a promotional channel, the playback of the recommended video is recorded as the playback volume in the promotional situation.
[0040] In other words, the target number of views of a recommended video without promotion refers to the number of times the recommended video is played when it is recommended through a conventional recommendation algorithm. If the recommended video is played through a promotion channel, the number of views is recorded as the number of views of the recommended video under promotion.
[0041] Among them, a preset field can be used to record whether each playback of the recommended video is the playback volume under promotion or the playback volume under non-promotion.
[0042] The information display method provided in this embodiment displays the target recommendation type of the recommended video while displaying the recommended video; wherein, the target recommendation type is determined based on the target playback volume of the recommended video without promotion and the increase in the target objects of the demand side brought about by the release of the recommended video. Therefore, in the process of video recommendation, the target recommendation type can be used to capture the changes in video popularity, so as to determine the recommendation method applicable to the recommended video, and timely adjust the recommendation method of the recommended video, thereby effectively improving the video recommendation effect.
[0043] For example, Figure 2As shown, taking the category attributes including the industry, demander, and video release time as an example, the video analysis page displays the sub-controls of the industry, demander, and video release time. The user can enter the industry to which the recommended video belongs in the sub-control of the industry, the demander corresponding to the recommended video in the sub-control of the demander, and the video release time corresponding to the recommended video in the sub-control of the video release time to obtain the video attributes. For example, if the industry is "beauty", the demander is "brand A", and the video release time is "2025-01-01 to 2025-01-10", the recommended videos released by brand A in the beauty industry from 2025-01-01 to 2025-01-10 will be displayed on the video analysis page, for example, recommended video 1 and recommended video 2.
[0044] In some optional embodiments, such as Figure 3 As shown, the information display method disclosed in the present invention also includes:
[0045] Step S301, obtaining the target playback volume of the recommended video without promotion and the increase in the target objects of the demand side brought about by the release of the recommended video.
[0046] Optionally, access the log data (counter_log) of the server, extract, transform and load (Extract-Transform-Load, ETL) the log data, and obtain the total number of views of the recommended video. Obtain the reporting information of the client, extract, transform and load the reported information, and obtain the percentage of views of the recommended video without promotion and with promotion. Determine the target number of views of the recommended video based on the total number of views and the percentage of views without promotion. Alternatively, configure a tracking point on the client to collect the target number of views of the recommended video without promotion to obtain the target number of views.
[0047] Optionally, the number of objects determined as target objects of the demand side on the day when the recommended video is played is recorded to obtain the new number of target objects. Based on the ratio of the cumulative new number of target objects after the recommended video is released to the number of objects that access the associated information of the demand side after the recommended video is released, the new number of target objects of the demand side brought about by the release of the recommended video is obtained, and the new number is the new rate of target objects after the recommended video is released.
[0048] Step S302: If the target playback volume of any recommended video reaches a preset playback volume threshold, it is determined that the target recommendation category of the recommended video includes a first recommendation category, and the first recommendation category is used to reflect the dissemination quantity of the recommended video.
[0049] It should be noted that the preset playback volume threshold is related to the industry to which the recommended video belongs. Optionally, the preset playback volume threshold is a first preset proportion of the video playback volume in the industry to which the recommended video belongs. For example, the preset playback volume threshold is 90% of the video playback volume in the industry to which the recommended video belongs.
[0050] It can be understood that the greater the number of disseminations, the stronger the dissemination ability of the recommended video is, and the first recommendation category can characterize the situation in which users are attracted to the recommended video to a certain extent.
[0051] Step S303: If the addition of any recommended video meets the preset addition condition, it is determined that the target recommendation category of the recommended video includes a second recommendation category, and the second recommendation category is used to reflect the dissemination quality of the recommended video.
[0052] If the new addition condition is the new addition rate of the target object, the preset new addition condition is the preset new addition rate threshold. If the new addition rate of any recommended video reaches the preset new addition rate threshold, it is determined that the target recommendation category of the recommended video includes the second recommendation category.
[0053] Alternatively, the total amount of new additions of the target object is used to represent the new addition situation, and the preset new addition condition is a preset new addition threshold. If the total amount of new additions of any recommended video reaches the preset new addition threshold, it is determined that the target recommendation category of the recommended video includes the second recommendation category.
[0054] It should be noted that the preset new rate threshold and the preset new amount threshold are related to the industry to which the recommended video belongs. Optionally, the preset new rate threshold is a second preset ratio of the new rate of the target object corresponding to each video in the industry to which the recommended video belongs. For example, the preset new rate threshold is 60% of the new rate of the target object corresponding to each video in the industry to which the recommended video belongs. The preset new amount threshold is determined in a similar manner to the preset new rate threshold, which will not be described in detail here.
[0055] It can be understood that the better the dissemination quality is, the stronger the effect of the recommended video on promoting the attention of the demander. The second recommendation category can represent the user's interest in the demander to a certain extent.
[0056] It should be noted that the recommended video has time validity. In practical applications, the effective time of the target recommended category can be pre-set. The target recommended category of the recommended video is only calculated and displayed within the effective time. Optionally, the effective time is within a preset time range after the recommended video is released. For example, the effective time is within 3 days after the recommended video is released.
[0057] In the information display method provided in this embodiment, if the target playback volume of any recommended video reaches the preset playback volume threshold, it is determined that the target recommendation category of the recommended video includes a first recommendation category for reflecting the number of dissemination of the recommended video. If the addition of any recommended video meets the preset addition condition, it is determined that the target recommendation category of the recommended video includes a second recommendation category for reflecting the dissemination quality of the recommended video. Therefore, the recommendation effect of the recommended video can be comprehensively measured by the two dimensions of dissemination quantity and dissemination quality, so that the target recommendation category can effectively reflect the changes in the popularity of the recommended video.
[0058] In some optional implementations, obtaining the target playback volume of the recommended video without promotion in the above step S301 includes:
[0059] Step a1, obtaining the total number of views of the recommended video from the server.
[0060] Specifically, the log data of the server is accessed, and the log data is extracted, converted and loaded to obtain the total playback volume of the recommended video (also known as the server port exposure data).
[0061] Step a2, obtaining from the client the percentage of the playback volume of the recommended video without promotion.
[0062] Specifically, a tracking point for collecting the playback ratio of played videos without promotion is configured at the client, and the playback ratio of recommended videos without promotion is extracted from the reporting information of the tracking point on the client.
[0063] In actual applications, when a recommended video is played through a non-promotional channel, the first field is used to record the number of times the recommended video is played without promotion. When a recommended video is played through a promotional channel, the second field is used to record the number of times the recommended video is played with promotion. A statistical analysis is performed on the number of times the recommended video is played without promotion and the number of times the recommended video is played with promotion to obtain the percentage of times the recommended video is played without promotion.
[0064] Step a3: Determine the target playback volume of the recommended video based on the ratio of the total playback volume to the playback volume of the recommended video.
[0065] Specifically, the target playback volume of the recommended video is determined based on the product of the total playback volume and the playback volume ratio.
[0066] It is worth noting that, because it is difficult for the server to determine the playback channel of the recommended video distributed to the client, and due to technical limitations and data security considerations, it is often difficult to directly obtain the target playback volume of the recommended video without promotion from the client in actual applications. It is only possible to obtain the playback ratio of the recommended video without promotion. Therefore, when obtaining the total playback volume of the recommended video from the server, it is necessary to combine the playback ratio of the recommended video without promotion recorded by the client, split the total playback volume of the recommended video distributed by the server, and determine the target playback volume of the recommended video.
[0067] In some optional implementations, the above step a2 includes:
[0068] Step a21, obtaining the playback volume ratio of each played video in the client without promotion, and the first video identifier of the played video.
[0069] Step a22, obtaining the second video identifier of the recommended video.
[0070] Step a23, based on the matching of the first video identifier and the second video identifier, determine the playback volume ratio of the recommended video from the playback volume ratio of the played videos.
[0071] The above-mentioned played videos include recommended videos and other videos except recommended videos.
[0072] It is worth noting that, since the client will connect to multiple data analysis links, it is difficult for the client to ensure that the information of each played video carries the information required by the data analysis link. Therefore, the client's reported information often only carries the original first video identifier of the played video. The information display method disclosed in the present invention needs to combine the second video identifier and the first video identifier of the recommended video to determine the play volume ratio of the recommended video from the play volume ratio of the played video.
[0073] In some optional implementations, the step S301 of obtaining the newly added target objects of the demander brought about by the release of the recommended video includes:
[0074] Step b1, obtaining operation information of at least one candidate object, the operation information including the play time of the candidate object for the recommended video, the target interaction information of the candidate object for the associated information, and the interaction time corresponding to the target interaction information.
[0075] The candidate objects include users who play the recommended videos in various video applications.
[0076] Optionally, the playing time of the candidate object for the recommended video is obtained from the client.
[0077] Optionally, the target interaction information includes the candidate object's browsing time, interaction type, interaction times, etc. for the associated information, wherein the interaction times include like times, comment times, sharing times, etc. In actual applications, the target interaction information can be adjusted according to actual conditions.
[0078] Step b2: determining a new target object of the demander from at least one candidate object based on the interest level of the candidate object represented by the target interaction information in the associated information.
[0079] Specifically, the target object determination conditions can be pre-configured, and if the target interaction information of any candidate object meets the target object determination conditions, the candidate object is determined to be a new target object of the demander. For example, if the candidate object has watched the recommended video for more than 2 minutes, the candidate object follows the demander, or the candidate object comments on or recommends the related information of the demander, the candidate object is determined to be a new target object.
[0080] Step b3: Based on the matching of the playback time and the interaction time, statistical analysis is performed on the newly added target objects related to the recommended video to obtain the newly added situation.
[0081] Specifically, if the play time of the recommended video matches the interaction time, the newly added target object determined under the target interaction information of the interaction time is determined as the newly added target object related to the recommended video.
[0082] For example, the newly added target objects determined on the day when the recommended video is played are determined as the newly added target objects related to the recommended video.
[0083] The information display method provided in this embodiment determines the new target objects based on the target interaction information of the candidate objects, and then determines the new target objects related to the recommended video based on the matching between the playback time of the recommended video and the interaction time of the target interaction information. Therefore, it is possible to effectively determine the new target objects brought about by the exposure of the recommended video, thereby accurately analyzing the new target objects of the demand side brought about by the release of the recommended video.
[0084] In some optional implementations, the step of obtaining target interaction information in step b1 includes:
[0085] Step b11, obtaining the labeling information of the demander.
[0086] The labeling information includes description information of multiple dimensions of the demander, such as the name, category, style, introduction, industry, etc. of the demander. In addition, the labeling information also includes description information of the industry to which the recommended video corresponding to the demander belongs.
[0087] It should be noted that in order to facilitate the selection of recommended videos to be displayed on the video analysis page, the labeling information should include the above-mentioned category attributes.
[0088] Step b12: filtering the original interactive information in the data source of the associated information based on the marking information to obtain filtered interactive information.
[0089] Specifically, the data source of the associated information includes various data sources that record the interactive information for the associated information. Taking the recommended video as an example, the data source of the recommended video includes the publishing platform of the recommended video, the video application that plays the recommended video, and the like.
[0090] Understandably, the data source contains original interactive information of various types of information, and it is difficult to determine which original interactive information is generated by the candidate object for the associated information of the demander. Therefore, it is necessary to filter the original interactive information based on the marking information to determine the interactive information generated by the candidate object for the associated information of the demander (i.e. the above-mentioned filtered interactive information).
[0091] Step b13: Mark the filtered interaction information based on the marking information to obtain target interaction information.
[0092] Specifically, the demand side corresponding to the filtered interaction information is marked based on the marking information to obtain the target interaction information.
[0093] In addition, the industry corresponding to the filtered interactive information can also be labeled based on the labeling information. The selection can be made according to actual needs and is not limited here.
[0094] The information display method provided in this embodiment screens and marks the original interactive information in the data source of the associated information based on the marking information of the demander to obtain the target interactive information. Therefore, the accuracy of the target interactive information can be ensured.
[0095] In some optional implementations, the above step b3 includes:
[0096] Step b31, obtaining the number of objects that accessed the associated information after the recommended video was released.
[0097] Specifically, the number of visiting objects includes the number of unique visitors (UniqueVisitor, UV) of the associated information after the recommended video is released.
[0098] Step b32: Based on the matching of the playback time and the interaction time, statistical analysis is performed on the newly added target objects related to the recommended video to obtain the total number of newly added target objects brought about by the release of the recommended video.
[0099] Specifically, based on the matching of the playback time and the interaction time, the number of new target objects added on the day of the recommended video playback is counted. The number of new target objects added each day after the recommended video is released is accumulated to obtain the total number of new target objects.
[0100] Step b33, based on the ratio of the total number of target objects added to the number of accessed objects, obtain the new addition situation.
[0101] The information display method provided in this embodiment determines the increase in target objects of the demand side brought about by the release of the recommended video based on the ratio of the total increase in target objects brought about by the release of the recommended video to the number of objects accessing the associated information after the release of the recommended video, so that the increase in target objects can effectively reflect the change trend of the target objects of the demand side after the release of the recommended video, so that the target recommendation category determined based on the increase in target objects can better reflect the change in popularity of the recommended video.
[0102] In some optional implementations, the above step b33 includes:
[0103] Step b331, performing attribution analysis on the total amount of target objects added, obtaining the amount of the first target objects added when the recommended video is not promoted, and the amount of the second target objects added when the recommended video is promoted.
[0104] Step b332, based on the ratio of the first target object's new additions to the number of visited objects, obtain the first new additions of the target object when the recommended video is not promoted.
[0105] Step b333, based on the ratio of the second target object's new addition amount to the number of visited objects, obtain the second new addition situation of the target object in the case of promoting the recommended video.
[0106] Specifically, an attribution analysis is performed on the total amount of new target objects based on a probabilistic attribution method to obtain the new amount of the first target object and the new amount of the second target object.
[0107] In actual applications, when recording the playback time of the recommended video, the client will simultaneously record the playback channel of the recommended video (such as promotional channel and non-promotional channel), thereby recording the playback time of the recommended video when the recommended video is not promoted, and the playback time of the recommended video when the recommended video is promoted. In order to determine the newly added target objects when the recommended video is not promoted, and the newly added target objects when the recommended video is promoted, based on the matching of the playback time and the interaction time, for attribution analysis of the total amount of newly added target objects.
[0108] The information display method provided in this embodiment performs attribution analysis on the total amount of target objects added, and determines the increase in target objects when the recommended video is not promoted and when the recommended video is promoted. Therefore, it is possible to perform real-time conversion attribution on the newly added target objects, thereby deeply analyzing the reasons for the increase in the target objects of the demand side.
[0109] In some optional implementations, the information display method of the present disclosure further includes: displaying the first new situation and the second new situation in the video analysis page.
[0110] As a specific example, Figure 4 As shown, the main steps of the information display method disclosed in the present invention include: accessing the log data of the server, extracting, converting and loading the log data, and obtaining the total playback volume of the recommended video. Obtaining the reported information of the client, extracting, converting and loading the reported information, and obtaining the playback volume ratio of the played video without promotion and the first video identifier of the played video. Based on the matching of the second video identifier and the first video identifier of the recommended video, the playback volume ratio of the recommended video without promotion is determined in the playback volume ratio corresponding to the played video, and the playback time of the recommended video is determined. Based on the total playback volume of the recommended video and the playback volume ratio of the recommended video without promotion, the target playback volume of the recommended video without promotion is calculated. If the target playback volume of any recommended video reaches the preset playback volume threshold, it is determined that the target recommendation category of the recommended video includes the first recommendation category. Obtaining the original interaction information in the data source of the associated information of the demand side. The original interaction information is screened and marked based on the marking information of the demand side to obtain the target interaction information and the corresponding interaction time. Based on the play time of the recommended video, the target interaction information and the interaction time of the target interaction information, the new addition of the target object of the demand side brought by the release of the recommended video is calculated. If the new addition of any recommended video meets the preset addition condition, it is determined that the target recommendation category of the recommended video includes the second recommendation category.
[0111] In some optional embodiments, such as Figure 5 As shown, the information display method of the present disclosure also includes: generating video recommendation suggestions based on the target recommendation category of the recommended video; and displaying the video recommendation suggestions in the video analysis page.
[0112] The information display method provided in this embodiment generates and displays video recommendation suggestions based on the target recommendation category of the recommended video. Therefore, the recommendation of the recommended video can be guided by the video recommendation suggestions to improve the recommendation effect of the recommended video.
[0113] In some optional implementations, the information display method of the present disclosure further includes: counting the number of recommended videos in the first recommendation category and / or the second recommendation category, and displaying the statistical results in the video analysis page.
[0114] In some optional implementations, the information display method of the present disclosure further includes: displaying the target playback volume of the recommended video in the video analysis page. In addition, information such as the video release time of the recommended video can also be displayed.
[0115] For example, see Figure 5 Taking the recommended videos including recommended video 1 and recommended video 2 as an example, the video analysis page can display recommended video 1, the target recommendation category of recommended video 1 (such as the first recommendation category and the second recommendation category), the target playback volume of recommended video 1, and the video release time of recommended video 1 (such as 2025-01-02). And, display recommended video 2, the target recommendation category of recommended video 2 (such as the first recommendation category), the target playback volume of recommended video 2, and the video release time of recommended video 2 (such as 2025-01-02). At the same time, based on the target recommendation categories of recommended video 1 and recommended video 2, the corresponding video recommendation suggestions are displayed on the video analysis page.
[0116] In some optional implementations, the target area in the video analysis page displays at least one recommended category. The information display method of the present disclosure further includes: in response to a selection instruction for at least one recommended category, displaying a recommended video corresponding to the selected recommended category in the data analysis page.
[0117] As a specific application example, a target application is installed on an electronic device, and the target application is used to execute the information display method disclosed in the present invention. A video analysis page is displayed in the target application, and the user can input the video attributes of the recommended video to be viewed through the video analysis page. In response to the input video attributes, the target application displays the recommended video corresponding to the video attributes and the target recommendation category of the recommended video, so as to disclose the popularity change of the recommended video in real time by using the target recommendation category, so that the user can determine the recommendation method of the recommended video in the subsequent process according to the displayed target recommendation category.
[0118] In this embodiment, an information display device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.
[0119] This embodiment provides an information display device, such as Figure 6 As shown, including:
[0120] A first display module 601 is used to display a video analysis page, where the video analysis page includes input controls;
[0121] The second display module 602 is used to respond to the video attributes input in the input control and display the recommended videos corresponding to the video attributes and the target recommendation categories of the recommended videos on the video analysis page. The recommended videos are associated with the demanders. The target recommendation categories are determined based on the target playback volume of the recommended videos without promotion and the increase of target objects of the demanders brought about by the release of the recommended videos. The target objects include objects that are interested in the associated information of the demanders.
[0122] In some optional implementations, the information display device of the present disclosure further includes:
[0123] A data acquisition module is used to obtain the target playback volume of the recommended video without promotion and the increase in the target objects of the demand side brought about by the release of the recommended video;
[0124] A first analysis module, configured to determine that the target recommendation category of the recommended video includes a first recommendation category if the target playback volume of any recommended video reaches a preset playback volume threshold, and the first recommendation category is used to reflect the dissemination volume of the recommended video;
[0125] The second analysis module is used to determine that the target recommendation category of the recommended video includes a second recommendation category if the addition of any recommended video meets a preset addition condition, and the second recommendation category is used to reflect the dissemination quality of the recommended video.
[0126] In some optional implementations, the data acquisition module includes:
[0127] A first acquisition unit is used to acquire the total playback volume of the recommended video from the server;
[0128] The second acquisition unit is used to acquire, from the client, the play volume ratio of the recommended video without promotion;
[0129] The first computing unit is used to determine a target playback volume of the recommended video based on a ratio of the total playback volume to the playback volume of the recommended video.
[0130] In some optional implementations, the second acquisition unit includes:
[0131] A first acquisition subunit is used to acquire the playback volume ratio of each played video in the client without promotion, and the first video identifier of the played video;
[0132] A second acquisition subunit, used to acquire a second video identifier of the recommended video;
[0133] The ratio calculation subunit is used to determine the playback volume ratio of the recommended video in the playback volume ratio of the played videos based on the matching situation of the first video identifier and the second video identifier.
[0134] In some optional implementations, the data acquisition module further includes:
[0135] A third acquisition unit is used to acquire operation information of at least one candidate object, where the operation information includes the play time of the candidate object for the recommended video, the target interaction information of the candidate object for the associated information, and the interaction time corresponding to the target interaction information;
[0136] A second operation unit is used to determine a new target object of the demander from at least one candidate object based on the interest degree of the candidate object represented by the target interaction information in the associated information;
[0137] The statistical analysis unit is used to perform statistical analysis on the newly added target objects related to the recommended video based on the matching situation of the playback time and the interaction time to obtain the newly added situation.
[0138] In some optional implementations, the third acquisition unit includes:
[0139] The marking information acquisition subunit is used to obtain the marking information of the demander;
[0140] An information screening subunit, used for screening original interactive information in a data source of associated information based on the marking information, to obtain screened interactive information;
[0141] The information marking subunit is used to mark the filtered interactive information based on the marking information to obtain target interactive information.
[0142] In some optional embodiments, the statistical analysis unit includes:
[0143] The access number acquisition subunit is used to obtain the number of objects that accessed the associated information after the recommended video was released;
[0144] A statistical analysis subunit is used to perform statistical analysis on newly added target objects related to the recommended video based on the matching of the playback time and the interaction time, and obtain the total amount of newly added target objects brought about by the release of the recommended video;
[0145] A new operator unit is added, which is used to obtain the new addition situation based on the ratio of the total amount of new target objects to the number of accessed objects.
[0146] In some optional embodiments, the newly added operation sub-unit is specifically used to: perform attribution analysis on the total amount of new target objects to obtain the first target object increase when the recommended video is not promoted, and the second target object increase when the recommended video is promoted; based on the ratio of the first target object increase to the number of visited objects, obtain the first target object increase when the recommended video is not promoted; based on the ratio of the second target object increase to the number of visited objects, obtain the second target object increase when the recommended video is promoted.
[0147] In some optional implementations, the information display device of the present disclosure further includes:
[0148] A suggestion generation module, for generating video recommendation suggestions based on the target recommendation category of the recommended video;
[0149] The third display module is used to display video recommendation suggestions in the video analysis page.
[0150] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.
[0151] The information display device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.
[0152] The present disclosure also provides an electronic device having the above Figure 6 The information display device shown.
[0153] See also Figure 7 , Figure 7 is a structural block diagram of an electronic device provided by an optional embodiment of the present disclosure, such as Figure 7As shown, the electronic device includes: one or more processors 701, memory 702, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 7 A processor 701 is taken as an example.
[0154] The processor 701 may be a central processing unit, a network processor or a combination thereof. The processor 701 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable logic gate array, a general purpose array logic or any combination thereof.
[0155] The memory 702 stores instructions executable by at least one processor 701, so that the at least one processor 701 executes the method shown in the above embodiment.
[0156] The memory 702 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 702 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 702 may optionally include a memory remotely arranged relative to the processor 701, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0157] The memory 702 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 702 may also include a combination of the above types of memory.
[0158] The electronic device also includes an input device 703 and an output device 704. The processor 701, the memory 702, the input device 703 and the output device 704 may be connected via a bus or other means. Figure 7 The example of connecting through bus is taken in the following.
[0159] The input device 703 can receive input digital or character information, and generate key signal input related to the user settings and function control of the electronic device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator rod, one or more mouse buttons, a trackball, a joystick, etc. The output device 704 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.
[0160] The embodiments of the present disclosure also provide a computer-readable storage medium. The above-mentioned method according to the embodiments of the present disclosure can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium and downloaded through a network, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.
[0161] A part of the present disclosure may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present disclosure through the operation of the computer. Those skilled in the art should understand that the existence of computer program instructions in computer-readable media includes, but is not limited to, source files, executable files, installation package files, etc., and accordingly, the way in which computer program instructions are executed by a computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to the computer.
[0162] Although the embodiments of the present disclosure have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations are all within the scope defined by the appended claims.
Claims
1. An information display method, characterized in that: The method comprises: Displaying a video analysis page, the video analysis page including input controls; In response to the video attributes input in the input control, the recommended video corresponding to the video attribute and the target recommendation category of the recommended video are displayed on the video analysis page, the recommended video is associated with the demander, and the target recommendation category is determined based on the target playback volume of the recommended video without promotion and the increase of target objects of the demander brought about by the release of the recommended video, and the target objects include objects that are interested in the associated information of the demander.
2. The information display method according to claim 1, characterized in that: The method further comprises: Obtain the target playback volume of the recommended video without promotion and the increase in the target objects of the demand side caused by the release of the recommended video; If the target playback volume of any of the recommended videos reaches a preset playback volume threshold, determining that the target recommendation category of the recommended video includes a first recommendation category, where the first recommendation category is used to reflect the number of disseminations of the recommended video; If the addition of any of the recommended videos meets a preset addition condition, it is determined that the target recommendation category of the recommended video includes a second recommendation category, and the second recommendation category is used to reflect the dissemination quality of the recommended video.
3. The information display method according to claim 2, characterized in that: The step of obtaining the target playback volume of the recommended video without promotion includes: Obtain the total number of views of the recommended video from the server; Obtaining from the client the percentage of the number of views of the recommended video without promotion; Based on the ratio of the total playback volume to the playback volume of the recommended video, a target playback volume of the recommended video is determined.
4. The information display method according to claim 3, characterized in that: The obtaining, from the client, the proportion of the playback volume of the recommended video without promotion, includes: Obtaining the playback volume ratio of each played video in the client without promotion, and the first video identifier of the played video; Obtaining a second video identifier of the recommended video; Based on the matching of the first video identifier and the second video identifier, the playback volume ratio of the recommended video is determined from the playback volume ratio of the played videos.
5. The information display method according to claim 2, characterized in that: Acquiring new information about the target object of the demander brought about by the release of the recommended video, including: Acquire operation information of at least one candidate object, the operation information including the play time of the candidate object for the recommended video, target interaction information of the candidate object for the associated information, and interaction time corresponding to the target interaction information; Determining a new target object of the demander from the at least one candidate object based on the interest degree of the candidate object in the associated information represented by the target interaction information; Based on the matching situation between the playback time and the interaction time, a statistical analysis is performed on the newly added target objects related to the recommended video to obtain the newly added situation.
6. The information display method according to claim 5, characterized in that: The performing of statistical analysis on the newly added target objects related to the recommended video based on the matching of the play time and the interaction time to obtain the newly added situation includes: Obtaining the number of objects that accessed the associated information after the recommended video was released; Based on the matching of the play time and the interaction time, statistical analysis is performed on the newly added target objects related to the recommended video to obtain the total number of newly added target objects brought about by the release of the recommended video; The new addition situation is obtained based on the ratio of the total amount of new target objects to the number of accessed objects.
7. The information display method according to claim 6, characterized in that: The obtaining of the new addition situation based on the ratio of the total amount of new additions of the target objects to the number of accessed objects includes: Performing attribution analysis on the total amount of new target objects to obtain the first amount of new target objects when the recommended video is not promoted and the second amount of new target objects when the recommended video is promoted; Based on the ratio of the first target object addition amount to the number of access objects, obtaining a first target object addition situation when the recommended video is not promoted; Based on the ratio of the second target object addition amount to the number of access objects, the second target object addition situation when promoting the recommended video is obtained.
8. The information display method according to claim 5, characterized in that: Acquiring the target interaction information includes: Obtaining the labeling information of the demander; Filtering original interactive information in the data source of the associated information based on the marking information to obtain filtered interactive information; The filtered interaction information is marked based on the marking information to obtain the target interaction information.
9. The information display method according to claim 1, characterized in that: The method further comprises: Generating a video recommendation suggestion based on the target recommendation category of the recommended video; The video recommendation suggestion is displayed in the video analysis page.
10. An information display device, characterized in that: The device comprises: A first display module, configured to display a video analysis page, wherein the video analysis page includes an input control; A second display module is used to respond to the video attributes input in the input control, and display the recommended video corresponding to the video attributes and the target recommendation category of the recommended video on the video analysis page, wherein the recommended video is associated with the demander, and the target recommendation category is determined based on the target playback volume of the recommended video without promotion and the increase of the target objects of the demander brought about by the release of the recommended video, and the target objects include objects that are interested in the associated information of the demander.
11. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the information display method according to any one of claims 1 to 9 by executing the computer instructions.
12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the information display method according to any one of claims 1 to 9.
13. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the information display method according to any one of claims 1 to 9.