CN111770376A

CN111770376A - Information display method, device, system, electronic equipment and storage medium

Info

Publication number: CN111770376A
Application number: CN202010606586.1A
Authority: CN
Inventors: 张继丰
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2020-06-29
Filing date: 2020-06-29
Publication date: 2020-10-13

Abstract

The application discloses an information display method, an information display device, an information display system, electronic equipment and a storage medium, and relates to the field of information processing and image video processing. The specific implementation scheme is as follows: displaying recommendation information related to a target video under the condition that the target video is detected to quit playing; the recommendation information related to the target video is information generated based on a target mapping list associated with the target video, and the recommendation information related to the target video comprises the related information of at least one video in the target mapping list.

Description

Information display method, device, system, electronic equipment and storage medium

Technical Field

The present application relates to the field of computer technology. The application is particularly in the fields of information processing and image video processing.

Background

More and more users watch the short videos in the application of the short videos, in order to meet the requirements of the users, all video websites provide support for original authors, the original authors are encouraged to upload high-quality videos, and the video watching time of user groups is prolonged. However, when the user views the short video and finishes viewing the subsequent related short video, the user needs to enter the page of the original author to search, which affects the operation efficiency.

Disclosure of Invention

The disclosure provides an information display method, an information display device, an information display system, electronic equipment and a storage medium.

According to a first aspect of the present disclosure, there is provided an information display method, including:

displaying recommendation information related to a target video under the condition that the target video is detected to quit playing;

the recommendation information related to the target video is information generated based on a target mapping list associated with the target video, and the recommendation information related to the target video comprises the related information of at least one video in the target mapping list.

According to a second aspect of the present disclosure, there is provided an information presentation apparatus comprising:

the display module is used for displaying recommendation information related to the target video;

the processing module is used for controlling the display module to display recommendation information related to the target video under the condition that the target video is detected to quit playing;

According to a third aspect of the present disclosure, there is provided an information presentation system comprising:

the terminal is used for displaying recommendation information related to the target video under the condition that the target video is detected to quit playing;

According to a fourth aspect of the present disclosure, there is provided an electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the aforementioned method.

According to a fifth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the aforementioned method.

According to the technology of the application, when the currently played target video exits, recommendation information related to the target video can be directly displayed; the recommendation information may be generated based on a target mapping list associated with the target video. Therefore, when the user quits watching the video, the information related to the current video can be directly recommended for the user, the operation times for searching the interested video is reduced, the intelligent degree of providing the video for the user is improved, and the speed of providing the video which is possibly interested for the user is improved.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:

FIG. 1 is a first flowchart illustrating an information displaying method according to an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of a processing method for determining to perform recommendation information presentation according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a scenario of information presentation according to an embodiment of the present application;

FIG. 4 is a schematic flow chart illustrating a process for creating a mapping list according to an embodiment of the present application;

FIG. 5 is a schematic diagram illustrating an association relationship between a mapping list and a video according to an embodiment of the present application;

FIG. 6 is a second flowchart illustrating an information displaying method according to an embodiment of the present disclosure;

FIG. 7 is a schematic diagram of an information display apparatus according to an embodiment of the present application;

FIG. 8 is a first schematic diagram of an information presentation system according to an embodiment of the present application;

FIG. 9 is a schematic diagram of an information presentation system according to an embodiment of the present application

Fig. 10 is a block diagram of an electronic device for implementing the information presentation method according to the embodiment of the present application.

Detailed Description

The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

An embodiment of the present application provides an information display method, as shown in fig. 1, including:

s101: displaying recommendation information related to a target video under the condition that the target video is detected to quit playing;

The target video in S101 may be a video being played through a video Application (APP) of the terminal, or a short video being played.

For example, when a user watches any one short video through a short video APP (application), the short video is called a target video; the process of the user watching the short video can be regarded as the process of playing the target video through the display screen of the terminal.

The one or more mapping lists may be preset or pre-generated, and different mapping lists may be associated with different videos; and, at least one video may be included in each mapping list.

Before presenting the recommendation information related to the target video, the embodiment may further include: generating recommendation information related to the target video.

For the process of generating recommendation information related to a target video, there may be a plurality of ways, respectively:

mode 1, in the playing process of the target video, detecting the playing time length of the target video;

if the playing time of the target video exceeds a preset threshold value, determining a target mapping list associated with the target video from at least one mapping list;

and generating recommendation information related to the target video based on the target mapping list.

That is, in the course of playing the target video, recommendation information related to the target video may be generated.

The detecting the playing time of the target video may be detecting the playing time of the target video in real time in the process of playing the target video;

the preset threshold may be set according to actual conditions, and may be a fixed value, such as 30s, or may be 1 minute;

or, the preset threshold may be a value determined according to actual conditions, for example, 60% of the duration of the whole target video; for example, if the duration of a short video is 5 minutes, the preset threshold is reached when the user watches for 3 minutes.

In this way, once it is detected that the played target video reaches the preset threshold value, a list associated with the currently played target video is obtained from one or more mapping lists as a target mapping list.

Further, the present embodiment may further include a determination process, for example, the determination process may include: judging whether the target video has a corresponding mapping list or not, and if so, taking the mapping list associated with the target video as a target mapping list; otherwise, no subsequent processing is performed.

The manner of generating the recommendation information based on the target mapping list may include: and generating recommendation information based on at least part of the videos in the target mapping list.

For example, the number of icons of videos that can be displayed on the display interface may be determined to determine whether to generate corresponding recommendation information based on all videos or part of videos in the target mapping list, according to the size of the icon of the current display interface, the size of the display interface, and the like.

Alternatively, the videos included in the target mapping list may be sorted according to their identifications (such as numbers), and the related information of the videos included in the recommendation information is determined based on the sorting. That is, one or more videos (which may or may not contain the target video) ordered after the target video may be contained in the recommendation information. For example, the target mapping list includes

videos

1, 2, 3, and 4, and the currently played target video is video 2 of the multiple videos, so the videos included in the recommendation information may be

videos

3 and 4, or may be

videos

2, 3, and 4, and so on, in the order of numbers.

Mode 2,

Determining a target mapping list associated with a target video from at least one mapping list when the fact that the target video exits from the playing of the target video and the playing time of the target video exceeds a preset threshold value is detected; and generating recommendation information related to the target video based on the target mapping list.

The difference from the method 1 is that the method 2 needs to detect the playing time of the target video and also needs to determine whether to quit the playing of the target video.

In this way, the playing time length of the detected target video is also different from that of the mode 1, and in this way, the playing time length of the detected target video is the time length of the target video which is currently played when the target video exits from being played. For example, a user watches video 1(3 minutes), and when watching video 2: and 30, the video exits, and the playing time of the video 1 is 2 minutes and 30 seconds.

This method is the same as the method of determining the target mapping list and generating the recommendation information in the method 1, and therefore, the description thereof is omitted.

Mode 3,

When the fact that the target video exits from the playing of the target video and the playing time of the target video exceeds a preset threshold value is detected, whether an operation of displaying a target homepage corresponding to the target video is detected or not is judged;

if the judgment result represents that the operation of displaying the target homepage corresponding to the target video is detected, determining a target mapping list associated with the target video from at least one mapping list; and generating recommendation information related to the target video based on the target mapping list.

This method is different from method 2 in that, before determining the target mapping list, an operation of displaying a target homepage corresponding to the target video needs to be detected.

Here, the target homepage may be a homepage of an author of the target video, for example, when the user clicks an icon of the author when exiting the target homepage, it is determined that an operation of presenting the target homepage corresponding to the target video is detected.

In addition, if the judgment result represents that the operation of displaying the target homepage corresponding to the target video is not detected, the recommended page may not be displayed for the user, and the subsequent processing is performed according to a normal flow, which is not limited herein.

Based on the above scheme, as shown in fig. 2, in S101 of this embodiment, the method may further include:

s201: displaying prompt information; the prompt information is used for prompting whether recommendation information is displayed or not;

s202: and determining whether to display the recommendation information related to the target video based on the feedback information aiming at the prompt information.

Specifically, if the recommendation information is presented according to the feedback information representation of the prompt information, the recommendation information related to the target video is presented, and otherwise, the recommendation information related to the target video is not presented.

Furthermore, the display time of the prompt message can be displayed when the target video is quitted to be played; the presentation position may be any designated position on the presentation interface, for example, above or in the middle or below the interface at the time of presentation, and the like.

Of course, the embodiment is not limited to displaying the prompt information, and in an example, the recommendation information may be directly displayed for the user when exiting from the currently played target video.

In addition, in the scheme provided in this embodiment, when S101 is executed, a status flag may be further performed on the target video, where the status flag may be used to represent a playing status of the target video, for example, the target video is completely played, or the target video is being played in progress. Therefore, the user can watch the target video and can locate the target video when returning to the page of the author.

Referring to fig. 3, a user views a target video through a presentation interface, and if a user clicks an exit identifier (such as a cross mark in the figure) during playing of the target video is detected, recommendation information is presented to the user, where the recommendation information may be pictures of

videos

1, 2, and 3 shown in the figure, and the

videos

1, 2, and 3 are videos associated with the target video and may further include information such as names and/or identifiers of the

videos

1, 2, and 3. Further, the user can quickly select other videos related to the viewed target video from among the

videos

1, 2, and 3.

Based on the scheme provided by the embodiment, when the currently played target video exits, the recommendation information related to the target video can be directly displayed; the recommendation information may be generated based on a target mapping list associated with the target video. Therefore, in the process of watching the video by the user, the information related to the current video can be directly recommended for the user, and the situation that the user searches for the interested video through multiple operations is reduced, so that the intelligent degree of providing the video for the user is improved, and the speed of providing the video which is possibly interested for the user is improved.

Further, the foregoing embodiments have indicated that the mapping list may be preconfigured or pre-generated, as described in detail below:

scene 1,

Obtaining at least one mapping list associated with at least one video; wherein the at least one video includes the target video.

In this scenario, at least one mapping list associated with at least one video may be obtained from the server, or may be understood as at least one mapping list associated with at least one video sent by the server is received. The server can determine the common playing habit of a large number of users based on the historical playing records of the large number of users, and then establish at least one mapping list associated with at least one video based on the common playing habit of the large number of users.

Scene 2,

Determining a playing habit based on the historical playing operation record;

establishing at least one mapping list associated with at least one video based on the playing habits; wherein the at least one video includes the target video.

The difference between this scenario and scenario 1 is that this scenario may be that a terminal (or a client) analyzes a playing habit of a user using a video application, that is, the terminal (or the client) may be understood as a playing habit of a user using the terminal or the user using the video application, and then the terminal (or the client) analyzes the playing habit of the user to obtain at least one mapping list associated with at least one video.

Specifically, the history play operation record may be one or more history play operation records. Each history playing operation record can include at least one of the following: the identification of the user (such as an account number for logging in the video application), the identification information of the played video, the operation information after the video is played, and a homepage (or called an original author page) corresponding to the played video.

Wherein, the operation information after finishing playing the video may include at least one of the following: and clicking to watch other videos by the user, clicking to enter a home page (or called as an original author page) corresponding to the played video by the user, and the like.

The playing habit may be a category of other videos that the user watches after finishing playing the video, which is determined according to the plurality of history playing operation records.

For example, after finishing watching a certain video in a plurality of history playing operation records, the user searches for a related video of the same homepage, and then the playing habit of the user may be to search for a related video of the same homepage. If the user searches for other videos of the same category as the watched videos after finishing watching a certain video in the plurality of historical playing operation records, the playing habit of the user can be to search for related videos of the same category. Here, the category may refer to a category of the video, for example, the category may be a suspicion category, a horror category, a pet category, a movie commentary category, and the like, and is not exhaustive here.

Further, at least one video for which a mapping list needs to be established can be determined based on the playing habits. For example, if the user habit is analyzed based on the playing habit to watch a certain author's video, all videos contained in the author's homepage can be used as at least one video for establishing the mapping list. For another example, if the user habit is analyzed based on the playing habit to watch a certain type of video of a certain author, all videos of the type contained in the homepage of the author can be used as videos for which a mapping list needs to be established. For another example, the user habit is analyzed based on the playing habit to see a certain type of video, but the preference of a certain author is not met, so that the type of video of all authors in the video application can be used as the video needing to establish the mapping list. It should be understood that, although the above example is only described in the unit of one, in fact there are many cases, such as being used to watch videos of multiple authors, and the same processing as described above may be adopted for the video in the homepage of each author, and this is not exhaustive.

Further, as shown in fig. 4, the method may further include:

s301: identifying a cover image of a video to be analyzed to obtain a text identification characteristic corresponding to the cover image of the video to be analyzed;

s302: clustering the text recognition features to obtain a clustering result; wherein the clustering result comprises at least one type of text recognition feature;

s303: establishing at least one mapping list according to the video to be analyzed corresponding to the character recognition features contained in at least one type of text recognition features in the clustering result; wherein at least one mapping list comprises the target mapping list.

Here, the video to be analyzed may be one or more videos in a video Application (APP). The video to be analyzed may be determined based on a playing habit, for example, if a user watches a certain video, or is accustomed to watching videos of one or more authors, or is accustomed to watching one or more types of videos, the videos of one or more authors may all be used as the video to be analyzed; or, one or more types of videos are used as the videos to be analyzed.

In addition, for example, 10 videos exist in a certain video application, the cover image of the 10 videos can be identified, and the alphanumeric character identification features included in the cover image are obtained.

The method for analyzing the character Recognition features of the video may include processing based on Optical Character Recognition (OCR), and of course, other processing methods may also exist, which are not exhaustive here.

Clustering based on the character recognition features corresponding to the video to be analyzed to obtain a clustering result may include clustering according to similarity of the character recognition features, and a clustering mode is not limited in this embodiment.

The clustering result obtained based on clustering may include at least one type of character recognition feature.

For example, 5 videos to be analyzed are provided, and OCR recognition is performed on the cover of the video to be analyzed to obtain 1-5 alphanumeric sequences; after clustering, two types of character recognition features are obtained, for example, one type of character recognition features comprises character-

number sequences

1, 3 and 4, and the other type of character recognition features comprises character-

number sequences

2 and 5.

Further, based on at least one type of character recognition features contained in the clustering result, a corresponding video to be analyzed can be determined according to at least one character recognition feature contained in each type of character recognition features, and then a mapping list is established for the determined video to be analyzed. Thus, a plurality of mapping lists can be established according to the multi-class character recognition characteristics.

Regardless of the above scenario 1 or 2, at least one mapping list of one or more video associations is available at the terminal side.

The video to be analyzed can be all videos in the video APP or partial videos; for example, there are 4 videos in the video APP, 2 videos may have associated mapping tables, and the other two videos do not have associated mapping tables. The videos contained in different mapping lists may be partially identical or the videos contained in different mapping lists may be different.

Specifically, the mapping list may include address information of at least one video and a corresponding identifier thereof; where each video may be a video associated with a mapping list. The identifier corresponding to the video may be at least one of a number, an identifier, a name, and the like of the video. The address information of the video may be address information for acquiring video data, and for example, may be a storage address on the server side or the like.

For example, as shown in fig. 5,

video

1, 2, and 3 may be included in mapping list 1, and mapping list 1 may be considered as a mapping list associated with

video

1, 2, and 3;

videos

4, 5 may be included in mapping list 2, and mapping list 2 is associated with

videos

4, 5. In addition, there may be mapping lists that do not correspond to portions of the video, such as video 6 in fig. 5, and there may be no mapping list that is pre-generated or pre-configured for association.

It should be noted that the mapping list contains one or more videos, and then one or more videos may hold the same mapping list; for example, if the aforementioned mapping list 1 includes

videos

1, 2, and 3, the

videos

1, 2, and 3 may all store the mapping list 1, and if the currently played target video is video 2, the associated mapping list is mapping list 1, and if the currently played target video is video 3, the associated mapping list is also mapping list 1.

Still alternatively, there may be a manner that different mapping lists are associated with different videos, and in addition, the same video may exist in different mapping lists, for example, the mapping list may be provided with an index, the index represents the video associated with the mapping list, and the mapping list includes address information and corresponding identification information of at least one video. In this manner, the index of the mapping list may be identification information of its associated video. For example, there are currently

videos

1, 2, 3, and 4, where videos 1 and 2 both have associated mapping lists, and video 1 is associated with mapping list 1, which may include

videos

1, 2, and 3, and video 1 may be an index of the mapping list; video 2 is associated with mapping list 2, and the mapping list includes

videos

2 and 3, and video 2 is an index of mapping list 2, where mapping lists 1 and 2 may have partially identical videos.

An example of the embodiment of the present application, which can be seen in fig. 6, includes the following processes:

and S1, analyzing the user behavior through the big data, namely analyzing the historical playing records of one or more users through the big data, and further obtaining the playing habits of most users.

S2, judging whether a precise delivery strategy is adopted, if so, executing S3, otherwise, executing S5; here, the precise delivery policy may be understood as whether to provide a mapping form for the terminal.

And S3, OCR recognition analysis is carried out to obtain character recognition characteristics corresponding to the cover image of the video to be analyzed. That is, analyzing the cover (or cover image) of at least part of the video application to obtain the corresponding character recognition feature (specifically, the character recognition feature may be an alphanumeric character).

S4, generating a mapping list; here, that is, the aforementioned at least one mapping list of the at least one video is generated.

And S5, the terminal plays the target video. Specifically, the short video can be browsed by a user at a terminal side; namely, a user opens a video application at a terminal, and after selecting a target video (namely, a short video), the target video (namely, the short video) is played for the user at the terminal.

And S6, judging whether a target mapping list exists or not, if so, executing S7, and otherwise, executing the display original author page. Here, in the process of entering the presentation of the original author page from S6, the presentation of the original author page may be controlled according to the operation of the user according to the related art, or of course, the original author page may be presented when the user exits the target video playback if it is determined that the mapping list does not exist.

And S7, reading the target mapping list, and determining to execute guide playing according to the target mapping list.

S8, judging whether to directly guide playing, if so, displaying a recommendation list corresponding to the short video, displaying the state of the target video, and displaying an original author page at the moment; otherwise, the original author page (or called the home page) is shown.

An embodiment of the present application further provides an information display apparatus, as shown in fig. 7, including:

a display module 41, configured to display recommendation information related to the target video;

the processing module 42 is configured to, in a case that it is detected that the target video is exited from being played, control presentation of recommendation information related to the target video through the presentation module;

the recommendation information related to the target video is information generated based on a target mapping list associated with the target video, and the recommendation information related to the target video comprises the related information of at least one video in the target mapping list; wherein the target mapping list is one of at least one mapping list.

The processing module 42 is configured to detect a playing time of the target video in a playing process of the target video; if the playing time of the target video exceeds a preset threshold value, determining a target mapping list associated with the target video from at least one mapping list; and generating recommendation information related to the target video based on the target mapping list.

The processing module 42 is configured to determine, when it is detected that the target video exits from being played and the playing duration of the target video exceeds a preset threshold, a target mapping list associated with the target video from at least one mapping list; and generating recommendation information related to the target video based on the target mapping list.

The processing module 42 is configured to determine whether an operation of displaying a target homepage corresponding to the target video is detected.

The display module 41 is further configured to display prompt information; the prompt information is used for prompting whether recommendation information is displayed or not;

the processing module 42 is further configured to determine whether to display the recommendation information based on the feedback information for the prompt information.

The device further comprises: the communication module is used for acquiring at least one mapping list associated with at least one video; wherein the at least one video includes the target video.

The processing module 42 is further configured to determine a playing habit based on a history playing operation record; determining at least one mapping list associated with at least one video based on the playing habits; wherein the at least one video includes the target video.

The processing module 42 is further configured to identify a cover image of the video to be analyzed, so as to obtain a text identification feature corresponding to the cover image of the video to be analyzed; clustering the text recognition features to obtain a clustering result; wherein the clustering result comprises at least one type of text recognition feature; establishing at least one mapping list according to the video to be analyzed corresponding to the character recognition features contained in at least one type of text recognition features in the clustering result; wherein at least one mapping list comprises the target mapping list.

An embodiment of the present application further provides an information display system, as shown in fig. 8, including:

the terminal 61 is used for displaying recommendation information related to the target video under the condition that the terminal detects that the target video exits from being played;

The system further comprises:

a server 62 for sending at least one mapping list associated with at least one video to the terminal;

correspondingly, the terminal 61 is further configured to receive at least one mapping list associated with at least one video sent by the server.

The processing that can be executed by the terminal and the modules included in the terminal may be the same as those in the foregoing embodiments, and therefore, the description thereof is omitted here.

On the basis of fig. 8, as shown in fig. 9, the server includes:

an analysis module 71, configured to determine a playing habit based on a history playing operation record;

a clustering module 72, configured to determine at least one mapping list associated with at least one video based on the playing habit; wherein the at least one video includes the target video.

The server, further comprising:

the character recognition module 73 is configured to recognize a cover image of the video to be analyzed, and obtain a character recognition feature corresponding to the cover image of the video to be analyzed;

the clustering module 72 is configured to cluster the character recognition features to obtain a clustering result; the clustering result comprises at least one type of character recognition features, and at least one mapping list is established according to the videos to be analyzed corresponding to the character recognition features contained in the at least one type of character recognition features in the clustering result; wherein at least one mapping list comprises the target mapping list.

Here, the server is configured to perform analysis based on historical play behavior records reported by a plurality of terminals, and the analysis module 71 may be specifically configured to monitor an operation behavior of at least one terminal side (of a user); and monitoring the operation flow of at least one terminal (user).

Finally, the analysis module can take the monitored operation behaviors and operation flows as historical playing operation records.

The operation flow can be at least one operation after the user watches the video; for example, a stream of short video media data source- > originator page- > associated short video asset playback, and so on.

The historical playing operation record is established by monitoring the operation flow, the operation behavior and the like of the user using the video application at the (at least one) terminal, namely the terminal side, so that the accurate delivery effect is increased, and the user feels that the product understands more the requirements of the user.

The character recognition module 73, which may be a module that employs deep learning OCR character recognition models, trains OCR character recognition models by training a large number of real short video cover character training sets, inputs a short video cover, and outputs alphanumeric character recognition features on the cover.

Here, the video to be analyzed, which is to be identified by the character identification module, may be determined based on a playing habit obtained by the analysis module based on analysis of a history playing operation record of a large number of users, for example, 80% of the users who are interested in one or more types of videos obtained based on analysis of the history playing operation record of all the users take the one or more types of videos as the video to be analyzed; or, if 90% of the users are interested in the video of one or more authors based on the historical play operation record analysis of all the users, the video of one or more authors is taken as the video to be analyzed.

Or, the video to be analyzed to be identified by the character identification module may be all videos uploaded by all video creators in the video application.

The clustering module is used for clustering the existing alphanumeric character recognition characteristics, finding the corresponding video (or short video) from the clustered result and finally generating a mapping list associated with the video. For example, a mapping list file associated with the video vid is generated for subsequent boot flow processing, for example, the mapping list may include XXX-1 (video vid 1), XXX-2 (video vid 2), and XXX-3 (video vid 3).

The clustering module of the server performs OCR flow processing aiming at some specified original author resources to obtain at least one mapping list (or also called mapping form) associated with at least one short video; the server may then send the corresponding short video association mapping form to the terminal (specifically, the communication module of the terminal) through the sending module.

Correspondingly, the terminal side can trigger the short video associated mapping form reading flow when the user browses the information stream video data and watches a certain short video to reach a preset value, and when entering the original author page, the short video associated mapping form reading flow guides to watch the associated video, and the prompting language is similar as follows: see XXX story-2. In addition, the user views back to the author page positioning to the corresponding video position. In the process, the video is directly played through the vid of the video, so that the playing speed and the playing efficiency are improved. The user experience is improved.

According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.

Fig. 10 is a block diagram of an electronic device according to an information presentation method according to an embodiment of the present application. The electronic device may be the aforementioned deployment device or proxy device. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.

As shown in fig. 10, the electronic apparatus includes: one or more processors 801, memory 802, and interfaces for connecting the various components, including a high speed interface and a low speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). Fig. 10 illustrates an example of a processor 801.

The memory 802 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by at least one processor, so that the at least one processor executes the information presentation method provided by the application. The non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to perform the information presentation method provided by the present application.

The memory 802, as a non-transitory computer readable storage medium, may be used for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules (e.g., the presentation module, the processing module, and the communication module shown in fig. 5) corresponding to the information presentation method in the embodiments of the present application. The processor 801 executes various functional applications and data processing of the server by running non-transitory software programs, instructions and modules stored in the memory 802, that is, implements the information presentation method in the above method embodiment.

The memory 802 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 802 may include high speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 802 optionally includes memory located remotely from the processor 801, which may be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The electronic device of the information presentation method may further include: an input device 803 and an output device 804. The processor 801, the memory 802, the input device 803, and the output device 804 may be connected by a bus or other means, and are exemplified by a bus in fig. 10.

The input device 803 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the electronic device, such as a touch screen, keypad, mouse, track pad, touch pad, pointer stick, one or more mouse buttons, track ball, joystick, or other input device. The output devices 804 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.

Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

According to the technical scheme provided by the embodiment of the application, the recommendation information related to the target video can be directly displayed when the currently played target video exits; the recommendation information may be generated based on a target mapping list associated with the target video. Therefore, in the process of watching the video by the user, the information related to the current video can be directly recommended for the user, and the situation that the user searches for the interested video through multiple operations is reduced, so that the intelligent degree of providing the video for the user is improved, and the speed of providing the video which is possibly interested for the user is improved.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.

The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An information display method, comprising:

2. The method of claim 1, wherein the method further comprises:

identifying a cover image of a video to be analyzed to obtain a text identification characteristic corresponding to the cover image of the video to be analyzed;

clustering the text recognition features to obtain a clustering result; wherein the clustering result comprises at least one type of text recognition feature;

establishing at least one mapping list according to the video to be analyzed corresponding to the character recognition features contained in at least one type of text recognition features in the clustering result; wherein at least one mapping list comprises the target mapping list.

3. The method of claim 1, wherein the method further comprises:

determining a target mapping list associated with a target video from at least one mapping list when the fact that the target video exits from the playing of the target video and the playing time of the target video exceeds a preset threshold value is detected;

4. The method of claim 3, wherein prior to said determining a target mapping list associated with said target video from at least one mapping list, said method further comprises:

and judging whether the operation of displaying the target homepage corresponding to the target video is detected.

5. The method of any of claims 1-4, wherein the method further comprises:

displaying prompt information; the prompt information is used for prompting whether recommendation information is displayed or not;

and determining whether to display the recommendation information related to the target video based on the feedback information aiming at the prompt information.

6. An information presentation device comprising:

7. The apparatus of claim 6, wherein the processing module is further configured to identify a cover image of the video to be analyzed, and obtain a text identification feature corresponding to the cover image of the video to be analyzed; clustering the text recognition features to obtain a clustering result; wherein the clustering result comprises at least one type of text recognition feature; establishing at least one mapping list according to the video to be analyzed corresponding to the character recognition features contained in at least one type of text recognition features in the clustering result; wherein at least one mapping list comprises the target mapping list.

8. The apparatus according to claim 6, wherein the processing module is configured to determine a target mapping list associated with the target video from at least one mapping list when it is detected that the target video is exited from being played and a playing duration of the target video exceeds a preset threshold; and generating recommendation information related to the target video based on the target mapping list.

9. The apparatus of claim 8, wherein the processing module is configured to determine whether an operation of displaying a target home page corresponding to the target video is detected.

10. The device according to any one of claims 6-9, wherein the presentation module is further configured to present a prompt; the prompt information is used for prompting whether recommendation information is displayed or not;

the processing module is further configured to determine whether to display the recommendation information based on the feedback information for the prompt information.

11. An information presentation system comprising:

12. The system of claim 11, wherein the system further comprises:

the server is used for sending at least one mapping list associated with at least one video to the terminal;

correspondingly, the terminal is further configured to receive at least one mapping list associated with at least one video sent by the server.

13. The system of claim 12, wherein the server comprises:

the analysis module is used for determining the playing habit based on the historical playing operation record;

the clustering module is used for determining at least one mapping list related to at least one video based on the playing habit; wherein the at least one video includes the target video.

14. The system of claim 13, wherein the server further comprises:

the character recognition module is used for recognizing the cover image of the video to be analyzed to obtain character recognition characteristics corresponding to the cover image of the video to be analyzed;

the clustering module is used for clustering the character recognition characteristics to obtain a clustering result; wherein the clustering result comprises at least one type of character recognition characteristics; establishing at least one mapping list according to the video to be analyzed corresponding to the character recognition features contained in at least one type of character recognition features in the clustering result; wherein at least one mapping list comprises the target mapping list.

15. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

16. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-5.