CN115484499A

CN115484499A - Video recommendation material display method, determination method, device, equipment and medium

Info

Publication number: CN115484499A
Application number: CN202110660494.6A
Authority: CN
Inventors: 陈立卓
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2021-06-15
Filing date: 2021-06-15
Publication date: 2022-12-16

Abstract

The application discloses a video recommendation material display method, a video recommendation material determination device, video recommendation material display equipment and a video recommendation material determination medium, and relates to the technical field of internet. The method comprises the following steps: displaying a video application interface, wherein the video application interface comprises a poster display area; determining a target recommended video recommended to a target account, wherein the target recommended video is a video to be watched in a continuous video set associated with the target account; acquiring a recommendation material of a target recommendation video, wherein the recommendation material is generated by at least one target candidate segment in the target recommendation video, the target candidate segment is a segment of which the interaction heat degree in the target recommendation video meets the recommendation requirement, and the interaction heat degree is used for indicating the frequency condition of interactive operation generated when the target recommendation video is watched; and displaying the recommended material in the poster display area. And displaying a recommendation material corresponding to the target recommendation video associated with the target account in the poster display area according to the interactive popularity in the video, so that the recommendation effect on video recommendation is improved.

Description

Video recommendation material display method, determination method, device, equipment and medium

Technical Field

The present application relates to the field of internet technologies, and in particular, to a method, an apparatus, a device, and a medium for displaying video recommendation materials.

Background

Due to the convenience brought by the internet, watching film and television works through the network is gradually becoming an important entertainment mode. Therefore, various video software providing users with a viewing function of movie and television works are developed. In order to give the user a preliminary understanding of the movie and television works, posters corresponding to the movie and television works are usually displayed on an application interface.

In the related art, the most common poster of the movie and television work is manually finished, namely, a producer of the movie and television work designs the poster of the movie and television work by an art designer according to main characters, main scenes or main ideas and the like of the movie and television work, and video software displays the poster.

However, the poster of the movie and television works displayed in the above manner requires manual participation, which results in high labor cost and time cost, and the information expressed by the poster is subjectively expressed by the producer, so that the corresponding recommendation effect is not good.

Disclosure of Invention

The embodiment of the application provides a video recommendation material display method, a video recommendation material determination device, a video recommendation material display device, a video recommendation material determination device and a video recommendation medium, and aims to improve video recommendation. The technical scheme is as follows:

in one aspect, a method for displaying video recommendation materials is provided, where the method includes:

displaying a video application interface, wherein the video application interface comprises a poster display area;

determining a target recommended video recommended to a target account, wherein the target recommended video is a video to be watched in a continuous video set associated with the target account;

acquiring a recommended material of the target recommended video, wherein the recommended material is generated by at least one target candidate segment in the target recommended video, the target candidate segment is a segment of which the interaction heat degree meets the recommendation requirement in the target recommended video, and the interaction heat degree is used for indicating the frequency condition of interactive operation generated when the target recommended video is watched;

and displaying the recommended material in the poster display area.

In another aspect, a method for determining video recommendation material is provided, the method including:

receiving a recommended material acquisition request sent by a first terminal, wherein the recommended material acquisition request comprises a video identifier of a target recommended video, and the target recommended video is a video to be watched in a continuous video set associated with the target account;

obtaining at least one target candidate segment corresponding to the target recommended video according to the video identifier, wherein the target candidate segment is a segment of which the interaction heat degree meets recommendation requirements in the target recommended video, and the interaction heat degree is used for indicating the frequency condition of interactive operation generated when the target recommended video is watched;

generating a recommended material of the target recommended video based on the at least one target candidate segment;

and sending the recommended material to the first terminal.

In another aspect, there is provided a video recommendation material display apparatus including:

the first display module is used for displaying a video application interface, and the video application interface comprises a poster display area;

the device comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining a target recommendation video recommended to a target account, and the target recommendation video is a video to be watched in a continuous video set associated with the target account;

the first obtaining module is used for obtaining a recommended material of the target recommended video, wherein the recommended material is generated by at least one target candidate segment in the target recommended video, the target candidate segment is a segment of which the interaction heat reaches the recommendation requirement in the target recommended video, and the interaction heat is used for indicating the frequency condition of interactive operation generated when the target recommended video is watched;

the first display module is further used for displaying the recommended material in the poster display area.

the second receiving module is used for receiving a recommended material obtaining request sent by the first terminal, wherein the recommended material obtaining request comprises a video identifier of a target recommended video, and the target recommended video is a video to be watched in a continuous video set associated with the target account;

a second obtaining module, configured to obtain at least one target candidate segment corresponding to the target recommended video according to the video identifier, where the target candidate segment is a segment of the target recommended video for which an interaction heat meets a recommendation requirement, and the interaction heat is used to indicate a frequency condition of an interaction operation generated when the target recommended video is watched;

a second generation module, configured to generate a recommendation material of the target recommendation video based on the at least one target candidate segment;

and the second sending module is used for sending the recommended material to the first terminal.

In another aspect, a computer device is provided, the device comprising a processor and a memory, wherein at least one instruction, at least one program, a set of codes, or a set of instructions is stored in the memory, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by the processor to implement the video recommended material display method or the video recommended material determination method according to any one of the embodiments of the present application.

In another aspect, a computer-readable storage medium is provided, in which at least one program code is stored, and the program code is loaded and executed by a processor to implement the video recommended material display method or the video recommended material determination method of a terminal device according to any one of the embodiments of the present application.

In another aspect, a computer program product or computer program is provided, the computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the video recommended material display method or the video recommended material determination method described in any of the above embodiments.

The technical scheme provided by the application at least comprises the following beneficial effects:

after a video application logged with a target account is started, a recommendation material of a target recommendation video is displayed in a poster display area of a video application interface, wherein the recommendation material is generated by a segment of which the interaction heat degree meets recommendation requirements in the target recommendation video, and the target recommendation video is a video to be watched in a continuous video set associated with the target account. Meanwhile, the whole configuration process corresponding to the display content of the poster display area is directly completed by a computer without manual participation, and the display efficiency of advertising posters can be improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a schematic illustration of an implementation environment provided by an exemplary embodiment of the present application;

FIG. 2 is a schematic illustration of a poster display of the related art provided by an exemplary embodiment of the present application;

fig. 3 is a flowchart of a method for displaying video recommendation material according to an exemplary embodiment of the present application;

FIG. 4 is a schematic illustration of a display of picture material provided by an exemplary embodiment of the present application;

FIG. 5 is a flowchart of a method for determining video recommendation material provided by an exemplary embodiment of the present application;

FIG. 6 is a flowchart of a method for capturing video recommendation material according to an exemplary embodiment of the present application;

FIG. 7 is a schematic diagram illustrating a capturing duration of a target collection segment according to an exemplary embodiment of the present application;

fig. 8 is a schematic diagram illustrating a fragment collection instruction issue according to an exemplary embodiment of the present application;

FIG. 9 is a schematic diagram of a target acquisition segment acquisition process provided by an exemplary embodiment of the present application;

fig. 10 is a flowchart of a process of acquiring a target acquisition segment by a second terminal according to an exemplary embodiment of the present application;

FIG. 11 is a flow chart of an acquisition of server candidate segments provided by an exemplary embodiment of the present application;

fig. 12 is a block diagram of a video recommendation material display apparatus provided by an exemplary embodiment of the present application;

fig. 13 is a block diagram of a video recommendation material display apparatus according to another exemplary embodiment of the present application;

fig. 14 is a block diagram of a video recommended material determining apparatus according to an exemplary embodiment of the present application;

fig. 15 is a block diagram of a video recommended material determining apparatus according to another exemplary embodiment of the present application;

fig. 16 is a block diagram of a terminal according to an exemplary embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, the following detailed description of the embodiments of the present application will be made with reference to the accompanying drawings.

First, an environment in which the embodiments of the present application are implemented will be described.

Referring to fig. 1, the implementation environment includes a terminal 110, a server 120, and a communication network 130.

The terminal 110 includes a program supporting a video playing function, and the program is capable of providing a video playing function and a video recommending function for a user. Illustratively, the program may be implemented as a stand-alone application, an applet or application module in a host application, a web application, a functional component disposed in a web page, and so on. In the embodiment of the present application, the terminal 110 displays the video recommendation material through the above program. When the user opens the program, the terminal 110 displays a corresponding video application interface, pulls a corresponding recommended material from the server 120 according to an account of the user logging in the program, and displays the recommended material in the poster display area. Optionally, the terminal 110 may be a smart phone, a tablet computer, a portable computer, a desktop computer, and the like, which is not limited herein.

The server 120 provides a video recommendation material issuing function for the terminal 110. Illustratively, the server 120 includes functional modules such as a candidate segment collection module and a recommended material generation module, where the candidate segment collection module is a module for determining and collecting candidate segments corresponding to videos according to the interaction heat, and the recommended material generation module is configured to obtain at least one target candidate segment corresponding to a target recommended video according to a recommended material acquisition request of the terminal 110, generate a corresponding recommended material according to the at least one target candidate segment, return the recommended material to the terminal 110, and display the recommended material by the terminal 110. Optionally, the server 120 is a physical server or a cloud server. The server 120 may be a server, a server cluster composed of several servers, or a cloud computing service center.

It should be noted that the server 120 may be implemented as a physical server, or may be implemented as a Cloud server in a Cloud end, where Cloud technology (Cloud technology) refers to a hosting technology for unifying a series of resources such as hardware, software, and a network in a wide area network or a local area network to implement calculation, storage, processing, and sharing of data. The cloud technology is based on the general names of network technology, information technology, integration technology, management platform technology, application technology and the like applied in the cloud computing business model, can form a resource pool, is used as required, and is flexible and convenient. Cloud computing technology will become an important support. Background services of the technical network system require a large amount of computing and storage resources, such as video websites, picture-like websites and more web portals. With the high development and application of the internet industry, each article may have an own identification mark and needs to be transmitted to a background system for logic processing, data of different levels can be processed separately, and various industry data need strong system background support and can be realized only through cloud computing.

In some embodiments, the method provided by the embodiment of the application can be applied to a cloud game scene, so that the data logic calculation in the game process is completed through the cloud server, and the terminal is responsible for displaying the game interface.

In some embodiments, the server 120 described above may also be implemented as a node in a blockchain system. The Blockchain (Blockchain) is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. The block chain, which is essentially a decentralized database, is a string of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, which is used for verifying the validity (anti-counterfeiting) of the information and generating a next block. The blockchain may include a blockchain underlying platform, a platform product services layer, and an application services layer.

The server 120 may establish a communication connection with the terminal 110 through the communication network 130. The network may be a wireless network or a wired network.

An application scenario of the embodiment of the present application is described with reference to the foregoing implementation environment.

The video application can not only provide a video playing function for the user, but also provide video resources for the user and recommend the video resources. Video applications are classified into various blocks according to video types, for example, a drama block, a variety block, a movie block, a homemade video block, a news block, and the like. Different tiles provide different types of video assets.

Illustratively, taking a television play piece as an example, as shown in fig. 2, a video application interface 200 includes a poster display area 210, where the poster display area 210 is used to display a promotion poster of a recent popular or a television play concerned by a user, where the promotion poster is manually completed, for example, an operation department corresponding to a video application determines to produce an image of the promotion poster, an art designer produces the poster, an application background configures the produced promotion poster, and a client displays the corresponding promotion poster.

However, the promotional posters displayed in the above manner have a high production cost, that is, the placement of one promotional poster requires manual design and production, and the labor cost and the time cost for the completion process are high. Meanwhile, the problem of low efficiency exists, namely, the propaganda poster displayed on the video application interface needs to be determined in advance, and the videos need to be recommended by manual selection, and a better recommendation effect is achieved by selecting pictures, so that the efficiency of overall poster configuration and display is reduced. And the information to be expressed by the propaganda poster may be out of focus, namely, because the production of the propaganda poster is responsible for by the operator, the corresponding production image is decided by the operator, and when the production of the propaganda poster is finished, the propaganda poster is released to the user side, in the whole process, the user passively receives the information corresponding to the propaganda poster, the participation sense is weak, the recommendation pertinence is weak, and the corresponding recommendation effect is poor.

In the embodiment of the application, the propaganda poster displayed in the poster display area is determined according to the interaction popularity of the video to be recommended, namely, after the terminal determines the target recommendation video needing to be recommended to the target account, the server generates a corresponding recommendation material according to the segment of the target recommendation video, the interaction popularity of which meets the recommendation requirement, sends the recommendation material to the terminal, and the terminal displays the recommendation material in the poster display area as the propaganda poster. The propaganda poster is determined according to the interactive popularity of the video to be recommended, namely the displayed propaganda poster is a section with higher interactive popularity in the video to be recommended, so that the attractiveness to a user is higher, and the recommendation effect of video recommendation can be improved. Meanwhile, the whole configuration display process of the propaganda poster does not need manual participation and is directly completed by a computer, so that the display efficiency of the propaganda poster can be improved.

Referring to fig. 3, a method for displaying video recommendation material according to an embodiment of the present application is shown, in the embodiment of the present application, the method is applied to the terminal shown in fig. 1, and the method includes:

step 301, displaying a video application interface, wherein the video application interface comprises a poster display area.

The terminal is provided with a video application which is used for providing video resources for users and providing a video playing function.

The video resources correspond to different categories, for example, the video resources may be tv show resources, movie resources, art resources, news video resources, user-made video resources, etc., and different video resources correspond to different application interface tiles.

In the embodiment of the present application, the display of the video recommendation material is described by taking the continuous video resource as an example, and the method may also be applied to other types of video resources, which is not limited herein. The continuous video resource is a video set composed of at least two sub-video resources, such as a television show resource, a comprehensive art resource, and the like.

In this embodiment of the application, the video application interface is configured to display at least one candidate continuous video set, where the candidate continuous video set includes a first continuous video set and a second continuous video set, the first continuous video set is a continuous video set that has been watched by a target account, and the second continuous video set is a continuous video set that has not been watched by the target account.

Step 302, determining a target recommended video recommended to a target account, where the target recommended video is a video to be watched in a continuous video set associated with the target account.

Optionally, the target recommended video recommended to the target account may be a target recommended video determined from the first set of continuous videos, or may be a target recommended video determined from the second set of continuous videos.

When the target recommended video is determined from the first continuous video set, namely, the continuous video set watched by the target account is determined according to the historical watching record of the target account, and the target continuous video set to be recommended and the target recommended video in the corresponding target continuous video set are determined from the continuous video set.

Optionally, the target continuous video set may be determined from the first continuous video set according to the historical viewing times of the target account on the continuous video set; determining a continuous video set watched last time recorded in the historical watching record of the target account as a target continuous video set; the first set of interlinked videos, the set of interlinked videos with the latest updated video, may also be determined as the target set of interlinked videos.

When the target recommended video is determined from the second continuous video set, that is, the target continuous video set recommended to the target account and the target recommended video in the corresponding target continuous video set are determined from the target account as the observed continuous video set.

Optionally, according to the total playing amount corresponding to the continuous video sets, determining a target continuous video set from the second continuous video set; and determining the continuous video set with the updating time closest to the current time in the second continuous video set as the target continuous video set.

Optionally, the number of the target continuous loading video sets may be one or multiple, and the number of the target recommended videos corresponds to the number of the target continuous loading video sets, which is not limited herein.

Illustratively, after the target continuous loading video set is determined, the target recommended video needs to be determined from the target continuous loading video set. Optionally, the video with the highest episode playing amount in the target continuous-loading video set is used as the target recommended video; or taking the latest updated episode in the target continuous video as a target recommended video; or taking the next episode to be watched corresponding to the target account in the target continuous video set as the target recommended video, for example, if the target continuous video set is updated to 35 sets and the target account has watched 30 sets, the corresponding target recommended video is the 31 st set.

In the embodiment of the application, the target recommended video recommended to the target account is a video to be watched in the target continuous-loading video set determined from the first continuous-loading video set. Illustratively, a target continuous video set is determined according to a historical viewing record of a target account, that is, the historical viewing record of the target account is obtained, at least one historical continuous video set is determined based on the historical viewing record, and the target continuous video set is determined from the at least one historical continuous video set. In one example, a history viewing record of a target account is read, the history viewing record indicates that the target account has viewed the continuous loading video set 1, the continuous loading video set 2, \8230, the \8230, and the continuous loading video set n, and the target continuous loading video set is determined from the n continuous loading video sets, wherein n is a positive integer.

Illustratively, the target continuous-loading video set may be determined according to the interest level of the target account for each historical continuous-loading video set, that is, the interest level data corresponding to each historical continuous-loading video set by the target account is obtained, and the target continuous-loading video set is determined based on the interest level data. The interest degree data can be determined according to information such as watching duration, watching number and interactive operation frequency of the target account for the continuous video set, wherein the watching duration is used for indicating the total watching duration of the target account for the continuous video set, the watching number is used for indicating the number of watched episodes in the continuous video set, and the interactive operation frequency is used for indicating the interactive operation frequency generated when the target account watches the episodes in the continuous video set, and the interactive operation includes but is not limited to a praise operation, a pop-up screen sending operation, a comment operation, a repeated watching operation and the like.

And after the target continuous-loading video set is determined, determining a target recommended video according to the historical watching record of the target account aiming at the target continuous-loading video set. Schematically, the next episode to be watched corresponding to the target account in the target continuous video set is used as the target recommended video.

In some embodiments, when the video application does not log in the target account, the method for determining the target continuous loading video set may be the same as that for determining the target continuous loading video set from the second continuous loading video set, and details are not repeated here.

Step 303, acquiring a recommended material of the target recommended video, wherein the recommended material is generated by at least one target candidate segment in the target recommended video, and the target candidate segment is a segment of which the interaction heat degree in the target recommended video meets the recommendation requirement.

The interactive heat is used for indicating the frequency situation of interactive operation generated when the target recommendation video is watched. The interactive operation includes, but is not limited to, a comment operation, a pop-up operation, a comment operation, a repeat viewing operation, and the like.

Illustratively, the terminal acquires the recommended material of the target recommended video from the server, that is, the terminal sends a recommended material acquisition request to the server, where the recommended material acquisition request includes the video identifier of the target recommended video, and receives the recommended material returned by the server. The server is used for determining at least one target candidate segment in the target recommendation video according to the video identification and generating a recommendation material through the at least one target candidate segment.

The server is also used for providing a candidate segment acquisition function, namely, the server determines and acquires a candidate segment corresponding to the target video. The determination of the candidate segments is completed based on the interaction heat, namely, the server determines the candidate segments meeting the recommendation requirement according to the interaction heat data corresponding to each time point in the target video. The acquisition process of the candidate segment may be completed by the server or by the terminal, which is not limited herein.

When the acquisition process of the candidate segment is finished by the server, the server reads the video data of the target video from the database after determining the candidate segment corresponding to the target video, intercepts the video data according to the starting time and the ending time corresponding to the candidate segment to obtain the candidate segment, and correspondingly stores the candidate segment and the target video.

When the acquisition process of the candidate segments is finished by the terminal, the server sends segment acquisition instructions to a preset number of terminals after determining the candidate segments corresponding to the target video, wherein the segment acquisition instructions comprise the starting time and the ending time corresponding to the candidate segments, and when one terminal returns the acquired candidate segments, the server determines that the candidate segments are acquired and does not continue to issue the segment acquisition instructions.

And step 304, displaying the recommended materials in the poster display area.

And after the terminal successfully acquires the recommended material of the target recommended video from the server, displaying the recommended material in the poster display area.

Optionally, the recommended material may be a video material, that is, the recommended material is a video composed of at least one target candidate segment; the recommended material may also be a picture material, that is, the recommended material is a picture obtained by intercepting from at least one target candidate segment.

And when the recommended material is a video material, the poster display area comprises a video plug-in used for playing the video, and the video material is played.

Illustratively, when the recommended material is a picture material, the picture material may be obtained by combining a target number of recommended pictures intercepted from one target candidate segment; or the recommended pictures of the target number intercepted from a plurality of target candidate segments can be obtained by combination; the target number of recommended pictures cut from candidate segments in multiple recommended videos of the target run-through video set may also be obtained by combining, which is not limited herein.

In one example, as shown in fig. 4, a poster display interface 410 is included in the video application interface 400, and recommendation pictures a411, B412, and C413 obtained by cutting the candidate segments are included in the poster display interface 410. Illustratively, the recommended pictures can be combined according to a preset template.

In some embodiments, a recommended case corresponding to the target recommended video is also displayed in the poster display area. Illustratively, the recommendation document may be determined according to the bullet screen data in the interaction popularity data of the target recommendation video. For example, the barrage data corresponding to the target recommended video is obtained, the barrage data includes barrage contents corresponding to all barrages appearing in the target recommended video, and the content with the highest repetition rate of the barrage contents is determined as the recommended case, or the content with the highest praise amount corresponding to the barrage contents is determined as the recommended case.

To sum up, according to the video recommendation material display method provided by the embodiment of the application, after the video application logged with the target account is started, recommendation materials of the target recommendation video are displayed in a poster display area of a video application interface, wherein the recommendation materials are generated by segments of the target recommendation video, the interaction heat of which meets recommendation requirements, and the target recommendation video is a video to be watched in a continuous video set associated with the target account. The displayed poster is a section with high interaction popularity in the video to be recommended, so that the attractiveness to the user is high, and the recommendation effect of video recommendation can be improved. Meanwhile, the whole configuration process corresponding to the display content of the poster display area does not need manual participation, is directly completed by a computer, and can improve the display efficiency of propaganda posters.

Referring to fig. 5, a method for determining video recommendation material according to an embodiment of the present application is shown, and in the embodiment of the present application, the method is applied to the server shown in fig. 1, and the method includes:

step 501, receiving a request for acquiring recommended materials sent by a first terminal.

The first terminal is a terminal for sending a recommended material acquisition request to the server.

Illustratively, the recommended material acquisition request includes a video identifier of a target recommended video, that is, a determination process of the target recommended video is executed in the first terminal, and the target recommended video is a video to be watched in a continuous video set associated with the target account.

Illustratively, the recommended material acquisition request includes an account identifier of the target account, the server reads a historical viewing record corresponding to the target account according to the account identifier, and determines the target recommended video according to the historical viewing record, that is, the determination process of the target recommended video is executed in the server. In one example, the server determines a historical continuous video set according to the historical watching records of the target account, and determines the target continuous video set according to a preset screening condition when the number of the historical continuous video sets is multiple, wherein the target continuous video set can be determined from the historical continuous video set according to the historical watching times of the target account on the continuous video set; determining a continuous video set watched last time recorded in the historical watching record of the target account as a target continuous video set; and determining the historical continuous video set and the continuous video set with the latest updated video as the target continuous video set.

After the target continuous video set is determined, a target recommended video needs to be determined from the target continuous video set. Optionally, the video with the highest episode playing amount corresponding to the target continuous video set may be used as the target recommended video; the latest updated episode in the target run-of-load video can be used as a target recommended video; the next episode to be watched corresponding to the target account in the target continuous-loading video set can be used as the target recommended video.

Step 502, at least one target candidate segment corresponding to the target recommended video is obtained according to the video identifier, and the target candidate segment is a segment of which the interaction heat degree in the target recommended video meets the recommendation requirement.

The interactive heat is used for indicating the frequency situation that the target recommendation video generates interactive operation when being watched, and the interactive operation comprises but is not limited to a praise operation, a pop-up operation, a comment operation, a repeated watching operation and the like.

Illustratively, a target candidate segment corresponding to the target recommended video is stored in the server, and the target candidate segment is a candidate segment acquired by the server according to the interaction heat in the target recommended video, that is, the server reads at least one corresponding target candidate video from the memory according to the video identifier.

In some embodiments, when it is determined that the candidate segment corresponding to the target recommended video does not exist, the server may obtain the corresponding candidate segment in real time according to the interaction heat of the target recommended video, or the server determines a video to be watched in other continuous video sets as the target recommended video from the historical watching record of the target account.

Step 503, generating a recommendation material of the target recommendation video based on the at least one target candidate segment.

Illustratively, the recommended material corresponds to a recommendation type, and the recommendation type includes a picture type and a video type. In the embodiment of the application, the server determines the recommendation type of the recommendation material sent to the terminal according to loyalty data of the target account to the continuous video set, wherein the loyalty data is used for indicating the user viscosity of the target account to the target continuous video set. The server obtains a historical viewing record of the target account, determines loyalty data of the target account to the continuous video set based on the historical viewing record, determines a recommendation type corresponding to the target recommendation video based on the loyalty data, and generates corresponding recommendation materials for at least one target candidate segment according to the recommendation type.

The loyalty data can be determined according to the difference between the number of watched videos of the target account for the continuous video set and the updated video number, and illustratively, the number of watched videos of the target account for the continuous video set is determined according to the historical watching records; acquiring the total video quantity corresponding to the continuous video set; loyalty data is determined based on a quantity gap between the number of videos viewed and the total number of videos, the size of the quantity gap being inversely related to the height of the loyalty data. The number gaps correspond to loyalty data, and in one example, the loyalty data is determined based on the number gaps between the determined number of videos watched and the total number of videos by reading a mapping table between the number gaps and the loyalty data.

In the embodiment of the application, the recommendation type of the recommended material is determined according to the matching relationship between the loyalty data and the loyalty requirement. In response to successful matching of the loyalty data and the loyalty requirements, determining that the recommendation type corresponding to the target recommendation video is a video type; and determining that the recommendation type corresponding to the target recommendation video is a picture type in response to the failure of matching the loyalty data with the loyalty requirement.

In one example, if the viewing progress of the target account number on the target continuous video set is determined to be 30 sets, and the total set number of the current target continuous video set is 35 sets, the corresponding number gap is 5 sets, the loyalty requirement is that the number gap between the viewed progress and the total set number is less than or equal to 20%, and if the loyalty data of the current target account number on the target continuous video set is determined to match with the loyalty requirement, the recommended material provided for the terminal corresponding to the target account number is the video material. In another example, it is determined that the viewing progress of the target account for the target continuous video set is 11 sets, the total number of sets of the current target continuous video set is 35 sets, and the corresponding number gap is 24 sets, it is determined that the matching between the loyalty data of the current target account for the target continuous video set and the loyalty requirement fails, and since the viewing progress of the target account for the target continuous video set is greater than a preset number of sets (for example, 10 sets), it is determined that the user of the target account corresponds to a potentially lost user, and the recommended material provided for the terminal corresponding to the target account is a picture.

When the determined recommended material is a picture material, the picture material can be obtained by combining the recommended pictures of the target number intercepted from one target candidate segment; or the recommended pictures of the target number intercepted from a plurality of target candidate segments can be obtained by combination; the target number of recommended pictures cut from candidate segments in the multiple recommended videos of the target run-through video set may also be obtained by combining, which is not limited herein. And in response to the fact that the recommendation type corresponds to the picture type, intercepting recommendation images of a target number from at least one target candidate segment, and combining the recommendation images of the target number to generate a recommendation material.

And step 504, sending the recommended material to the first terminal.

The server sends the recommended material configured for the first terminal to the first terminal, and the first terminal displays the recommended material in a poster display area in the video application interface.

To sum up, according to the video recommended material determining method provided by the embodiment of the application, when the terminal needs to display the recommended material of the target recommended video in the poster display area of the video application interface, the server generates the corresponding recommended material according to at least one target candidate segment of the target recommended video, wherein the target candidate segment is a segment of the target recommended video, the interaction popularity of which meets the recommendation requirement, and the server issues the generated recommended material to the terminal for display by the terminal. The displayed poster is a section with high interaction popularity in the video to be recommended, so that the attractiveness to the user is high, and the recommendation effect of video recommendation can be improved. Meanwhile, the whole configuration process corresponding to the display content of the whole poster display area does not need manual participation, and is directly completed by a computer, so that the display efficiency of the propaganda poster can be improved.

Please refer to fig. 6, which illustrates a video recommended material collecting method according to an embodiment of the present application, in the embodiment of the present application, a collection process of a video recommended material is completed through cooperation between a server and a second terminal, that is, the server 610 and the second terminal 620 form a distributed system, where the second terminal is a plurality of user terminals. The method comprises the following steps:

step 601, the server obtains the interactive heat data of the target video.

The interactive heat data are obtained by behavior collection of seed account numbers with target quantity, wherein the seed account numbers are account numbers of watched target videos. Illustratively, in the process of watching the target video by the seed account, the second terminal records the interactive operation of the seed account when watching the target video, generates a corresponding interactive record, and uploads the interactive record to the server. The interactive operation includes, but is not limited to, a favorite operation, a like operation, a pop-up operation, a comment operation, a repeat viewing operation, a pause operation, and the like.

Illustratively, the server issues behavior acquisition instructions to the terminals with the target number, and after receiving the behavior acquisition instructions, the terminals record the interactive operation currently received by the terminals, pack the interactive record with the account number identifier of the seed account number and the video identifier corresponding to the interactive operation, and send the interactive record to the server. And the server performs analysis statistics according to the video identification according to the interaction record received from the terminal corresponding to each seed account number so as to determine the interaction heat data corresponding to each video.

Illustratively, the data collected by the server from the clients of the terminals may be collated to obtain behavior data, including: the method comprises the steps of total viewing times of target videos, total collection number of the target videos, total praise times of the target videos, praise time (specific time when praise action occurs), total number of barracks of the target videos, sending time corresponding to each barrack, time when the target videos are played and the time when the backspacing operation is reached, and time when the pause operation occurs in the target videos.

In step 602, the server determines a target capture segment of the target video based on the interaction heat data.

The target acquisition segment has a start time and an end time.

And the server performs data analysis on the organized behavior data, counts an effective time period of preset duration with the most intensive interactive operation in the target video, and determines the video content in the effective time period as the starting time and the ending time of the target acquisition segment. And when the determined time length corresponding to the effective time period with the most intensive interactive operation is less than the preset time length, the effective time period is prolonged forwards or backwards. As shown in fig. 7, when the effective time period is the same as the preset time period, the interception time is shown by a progress bar 701, and when the effective time period is smaller than the preset time period, the interception time is shown by a progress bar 702 and a progress bar 703.

Step 603, the server sends a fragment acquisition instruction to the second terminal.

Illustratively, after determining the starting time and the ending time corresponding to the target acquisition segment, the server generates a segment acquisition instruction according to the starting time and the ending time of the target acquisition segment and the video identifier corresponding to the target video, and sends the segment acquisition instruction to the second terminal. The second terminal is used for providing a target acquisition fragment acquisition function for the server, namely the server sends a fragment acquisition instruction to the second terminal, the second terminal determines a target video needing fragment acquisition according to the fragment acquisition instruction, and then the target video is subjected to fragment acquisition. Illustratively, the second terminal may be a terminal of a seed account obtained by screening, by the server, all user accounts according to preset conditions, or may be a terminal corresponding to all user accounts.

Illustratively, the first terminal in the embodiment corresponding to fig. 5 is a terminal that acquires a recommended material from a server, the second terminal is a terminal that provides a collection clip for the server, for example, a clip collection instruction received by the second terminal from the server includes a video identifier of a target video 1, the second terminal successfully collects a corresponding collection clip 1 from the target video 1 and uploads the corresponding collection clip 1 to the server, the recommended material acquired by the first terminal to the server corresponds to the recommended material 1 of the target video 1, the server generates the recommended material 1 of the target video 1 according to the collection clip 1 and returns the recommended material 1 to the first terminal, and the first terminal displays the recommended material 1.

In some embodiments, the first terminal may also be used as a terminal for providing a collection fragment for the server, for example, the second terminal obtains the recommended material 2 of the target video 2 from the server, the server sends a fragment collection instruction corresponding to the target video 2 to the first terminal, the first terminal collects the to-be-collected fragment in the process of playing the target video 2 and sends the target collection fragment 2 which is collected successfully to the server, the server generates the recommended material 2 according to the target collection fragment 2 and returns the recommended material 2 to the second terminal, and the second terminal displays the recommended material 2.

In one example, the fragment acquisition instruction sent by the server to the second terminal is as follows:

the target source is the sum of all fragments to be acquired which need to be delivered, the target DramaID is the video set identifier of the continuous video set corresponding to the target video, the target DramaNum is the video identifier of the target video, the target StartTime is the starting time of the target acquisition fragments, and the target EndTime is the ending time of the target acquisition fragments.

Illustratively, the server issues the fragment acquisition instruction to the terminals in the fixed terminal set, that is, the server sends the fragment acquisition instruction to all the terminals in the terminal set, and as long as one terminal returns a target acquisition fragment, it is determined that the candidate fragment of the target video is successfully acquired, and target acquisition fragments returned by other terminals are not received any more.

Illustratively, the server sends the fragment acquisition instruction to a preset number of second terminals in a pulse type instruction sending manner. Namely, sending a fragment acquisition instruction to a first terminal set, wherein the first terminal set comprises a preset number of second terminals; and in response to the fact that the first terminal set fails to collect the target collection fragment in the preset time period, sending a fragment collection instruction to a second terminal set, wherein the second terminal set comprises a preset number of second terminals.

As shown in fig. 8, the server 810 sends a fragment collection instruction to the first terminal set 820 during a first pulse, the second terminal in the first terminal set 820 monitors the client according to the fragment collection instruction, when the client meets a fragment collection requirement, collects a target collection fragment, and returns the collected target collection fragment to the server 810, if the server 810 receives the target collection fragment within a preset time period, the fragment collection instruction is not sent again, if the server 810 does not receive the target collection fragment within the preset time period, the second pulse is executed, that is, the fragment collection instruction is sent to the second terminal set 830, and so on, the third pulse, the fourth pulse, \\ 8230, and the nth pulse are executed until the server 810 receives the target collection fragment.

And step 604, the second terminal receives the fragment acquisition instruction sent by the server.

After receiving the fragment acquisition instruction sent by the server, the second terminal analyzes and stores the fragment acquisition instruction to obtain the sum of the fragments to be acquired indicated in the fragment acquisition instruction, the video set identifier of the continuous video set corresponding to the target video, the video identifier of the target video, and the start time and the end time of the target acquisition fragment.

And the second terminal reads the analyzed data every time the video application is started, monitors the currently running video application according to the total data of the segments to be acquired and determines whether the video content played by the current video application belongs to the video to be acquired.

In step 605, the second terminal receives a play operation for the target video.

And the second terminal receives the playing operation aiming at the target video and determines that the video identification corresponding to the target video belongs to the total data of the fragments to be acquired, namely the target video is the video to be acquired.

And 606, responding to the target video playing to the starting moment by the second terminal, enabling the terminal to meet the segment acquisition requirement, and starting to record the target video.

When the second terminal collects the target collection fragment, the second terminal needs to meet the fragment collection requirement, wherein the fragment collection requirement is used for determining whether the playing state of the second terminal meets the collection requirement of the target collection fragment. In one example, the acquisition process of the target acquisition segment needs to be implemented in a screen clearing mode, wherein the second terminal does not display the bullet screen in the screen clearing mode. In the recording process, the user executes interactive operations such as pause operation, bullet screen sending operation, repeated playing operation and the like, so that the current playing state does not meet the segment acquisition requirement, and the recording process is paused.

Specifically, when the user enters the video application interface, the second terminal adds a monitoring mechanism to obtain a video set identifier of each continuous video set to be played, and queries whether the video set identifier exists in the data corresponding to the fragment acquisition instruction. If so, it is determined whether the user is currently playing the video in the clear mode. When the conditions are met, the second terminal prepares to start the screen recording function, and once the target video is played to the starting moment of the target acquisition fragment, the second terminal starts the screen recording function. Until the video is completely played to the end time of the target acquisition segment. In the process, if any operation such as sending a bullet screen, exiting a screen clearing mode, exiting a video playing interface, closing a video application and the like is met, screen recording is directly stopped, and recorded data is destroyed. If the user finishes recording the whole target acquisition segment, the segment of video is exported on the sub-thread, and the segment and the video identification of the target video are packaged and sent to the server. And after receiving the successful data returned by the server, the second terminal deletes the target acquisition fragment information in the locally stored fragment acquisition instruction, so that repeated recording is avoided.

And step 607, the second terminal responds to the target video playing to the ending moment, stops recording the target video, and obtains a target acquisition segment.

And after the second terminal determines that the target acquisition fragment is successfully acquired, correspondingly packaging the target acquisition fragment and the video identifier of the target video, and generating video data for returning to the server.

And 608, uploading the target acquisition fragment to the server by the second terminal.

As shown in fig. 9, the server 910 sends the segment acquisition instruction 920 to the terminal, and when the terminal determines that the target video 930 being played is the video to be acquired indicated in the segment acquisition instruction 920, the terminal records according to the segment acquisition instruction 920, generates corresponding video data 940 for the obtained target acquisition segment, and returns the video data 940 to the server 910.

Step 609, the server receives the target collection fragment returned by the second terminal.

And step 610, the server takes the target acquisition segment as a candidate segment of the target video for corresponding storage.

When the server waits for the terminal set of the current pulse to return the target acquisition fragment in a preset time period, if a plurality of second terminals return the target acquisition fragment, the target acquisition fragment returned firstly is used as a candidate fragment of the target video, the database is locked, the candidate fragment of the target video is ensured not to be written repeatedly, and the target acquisition fragments returned by other terminals are discarded.

In the embodiment of the application, the candidate segments of the target video stored in the server are video segments determined based on the interaction heat degree of the target video, and when the interaction heat degree data of the target video collected by the server is changed, the candidate segments are re-collected and updated according to the segment to be collected corresponding to the current interaction heat degree data.

To sum up, in the video recommended material acquisition method provided in the embodiment of the present application, the server completes determining the target acquisition segment of the target video according to the interaction heat data, issues the segment acquisition instruction corresponding to the target acquisition segment to the second terminal, completes the acquisition process of the target acquisition segment by the second terminal, returns the acquired target acquisition segment to the server, and the server stores the target acquisition segment as a candidate segment for making the recommended material. The acquisition of the video materials is realized through the cooperative cooperation between the server and the second terminal, the acquisition efficiency of the target acquisition fragments is improved through a distributed system consisting of the server and the second terminal, the data processing pressure of the server for acquiring the target acquisition fragments is reduced, meanwhile, the resolution ratio data and the video size data corresponding to the target acquisition fragments acquired by the terminals are more adaptive to the terminals, and the target acquisition fragments can have a better display effect when being subsequently displayed as recommended materials.

Referring to fig. 10, a flowchart of an exemplary acquisition process of a target acquisition segment by a second terminal in the present application is shown, where the flowchart includes:

step 1001, displaying a video application interface.

At step 1002, dramaID is obtained.

The DramaID is the video set identification of the run-on video set.

Step 1003, determining whether the DramaID exists in the fragment collection instruction, if yes, executing step 1004, and if not, ending.

Step 1004, determining whether the current play mode is the clear screen mode, if yes, executing step 1005, and if not, ending.

Step 1005, determining whether the starting time is reached, if yes, executing step 1006, and if not, executing step 1007.

The starting time is the starting time of the target acquisition segment indicated in the segment acquisition instruction.

And step 1006, starting recording.

Step 1007, wait for the touch to reach the start time.

Step 1008, determining whether recording is interrupted, if yes, executing step 1009, and if not, executing step 1010.

And if any operation of sending a bullet screen, exiting a screen clearing mode, exiting a video playing interface, closing a video application and the like is met, determining that recording is interrupted.

Step 1009 destroys the recorded segment.

And step 1010, finishing recording.

And step 1011, packaging and uploading the target acquisition fragments.

Referring to fig. 11, a flow chart of collecting an exemplary server candidate segment is shown. In the embodiment of the application, the server acquires the target acquisition fragment through the second terminal in a pulse type instruction sending mode.

Step 1101, acquiring an account identifier.

In the embodiment of the application, the server determines the target recommended video corresponding to the recommended material issued to the target account. The server acquires an account identifier corresponding to a target account logged in the first terminal, and acquires a historical viewing record corresponding to the target account according to the account identifier.

Step 1102, obtain a history continuous video set of a target number.

The historical continuous video set is determined by the server according to the historical watching records of the target account.

And 1103, judging whether a target video of the candidate segment is not acquired in the historical continuous video set, if so, executing step 1104, and if not, ending.

In step 1104, it is determined whether the pulse period is in the pulse period, if so, step 1105 is executed, and if not, step 1106 is executed.

The pulse period is used for indicating the time period for the server to send the fragment acquisition instruction to the terminal set.

Step 1105, perform the issue operation.

And the server sends a fragment acquisition instruction to the second terminal.

Step 1106, wait for the next pulse period.

The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.

Fig. 12 is a block diagram showing a video recommended material display apparatus according to an embodiment of the present application. The device has the functions of implementing the method examples, and the functions can be realized by hardware or by hardware executing corresponding software. The apparatus may include:

a first display module 1210, configured to display a video application interface, where the video application interface includes a poster display area;

a first determining module 1220, configured to determine a target recommended video recommended to a target account, where the target recommended video is a video to be watched in a continuous video set associated with the target account;

the first obtaining module 1230 is configured to obtain a recommended material of the target recommended video, where the recommended material is generated by at least one target candidate segment in the target recommended video, the target candidate segment is a segment in the target recommended video for which the interaction heat meets the recommendation requirement, and the interaction heat is used to indicate a frequency situation of an interaction operation generated when the target recommended video is watched;

the first display module 1210 is further configured to display the recommended material in the poster display area.

In an alternative embodiment, as shown in fig. 13, the first determining module 1220 further includes:

a first obtaining unit 1221, configured to obtain a historical viewing record of the target account;

a first determining unit 1222 for determining at least one historical set of run-length videos based on the historical viewing records;

the first determining unit 1222, further configured to determine a target set of videos from the at least one history set of videos;

the first determining unit 1222 is further configured to determine the target recommended video from the target set of serialized videos based on the historical viewing record.

In an optional embodiment, the first obtaining unit 1221 is further configured to obtain interestingness data, corresponding to each historical continuous-loading video set, of the target account;

the first determining unit 1222 is further configured to determine the target run-length video set based on the interestingness data.

In an optional embodiment, the first obtaining module 1230 further includes:

the first sending unit 1231 is configured to send a recommended material obtaining request to a server, where the recommended material obtaining request includes a video identifier of the target recommended video, and the server is configured to determine at least one target candidate segment in the target recommended video according to the video identifier, and generate the recommended material through the at least one target candidate segment;

the first receiving unit 1232 is configured to receive the recommended material returned by the server.

In an optional embodiment, the apparatus further comprises:

a first receiving module 1240, configured to receive a segment acquisition instruction sent by a server, where the segment acquisition instruction is used to instruct the terminal to acquire a target acquisition segment of a target video, the segment acquisition instruction includes a start time and an end time of the target acquisition segment, and the server is configured to determine the target acquisition segment according to an interaction heat of the target video;

the first receiving module 1240 is further configured to receive a play operation for the target video;

the first recording module 1250 is configured to start recording the target video in response to the target video being played to the start time and the terminal meeting the segment acquisition requirement;

the first recording module 1250 is further configured to stop recording the target video in response to the target video being played to the end time, so as to obtain the target acquisition segment;

a first uploading module 1260, configured to upload the target collection segment to the server.

To sum up, the video recommendation material display apparatus provided in the embodiment of the present application displays, in a poster display area of a video application interface, a recommendation material of a target recommendation video after a video application logged with a target account is started, where the recommendation material is generated from a segment in the target recommendation video whose interaction heat satisfies a recommendation requirement, and the target recommendation video is a video to be watched in a run-of-load video set associated with the target account. The displayed poster is a section with high interaction popularity in the video to be recommended, so that the attractiveness to the user is high, and the recommendation effect of video recommendation can be improved. Meanwhile, the whole configuration process corresponding to the display content of the poster display area is directly completed by a computer without manual participation, and the display efficiency of advertising posters can be improved.

Fig. 14 is a block diagram showing a video recommended material determining apparatus according to an embodiment of the present application. The device has the functions of realizing the method examples, and the functions can be realized by hardware or by hardware executing corresponding software. The apparatus may include:

a second receiving module 1410, configured to receive a recommended material obtaining request sent by a first terminal, where the recommended material obtaining request includes a video identifier of a target recommended video, and the target recommended video is a video to be watched in a run-load video set associated with the target account;

a second obtaining module 1420, configured to obtain, according to the video identifier, at least one target candidate segment corresponding to the target recommended video, where the target candidate segment is a segment of the target recommended video whose interaction heat meets a recommendation requirement, and the interaction heat is used to indicate a frequency condition of an interaction operation generated when the target recommended video is watched;

a second generating module 1430, configured to generate a recommended material of the target recommended video based on the at least one target candidate segment;

a second sending module 1440, configured to send the recommended material to the first terminal.

In an alternative embodiment, referring to fig. 15, the second generating module 1430 further includes:

a second obtaining unit 1431, configured to obtain a historical viewing record of the target account;

a second determining unit 1432, configured to determine loyalty data of the target account to the run-of-video set based on the historical viewing record;

the second determining unit 1432 is further configured to determine, based on the loyalty data, a recommendation type corresponding to the target recommendation video;

the second generating module 1430 is further configured to generate the corresponding recommended material for the at least one target candidate segment according to the recommendation type.

In an optional embodiment, the second determining unit 1432 is further configured to determine, according to the historical viewing record, a number of viewed videos of the target account for the run-through video set;

the second obtaining unit 1431 is further configured to obtain a total number of videos corresponding to the continuous video set;

the second determining unit 1432 is further configured to determine the loyalty data according to a quantity gap between the watched video quantity and the total video quantity, where a size of the quantity gap is in a negative correlation with a height of the loyalty data.

In an optional embodiment, the recommended types include a video type and a picture type;

the second determining unit 1432 is further configured to determine, in response to that the loyalty data is successfully matched with the loyalty requirement, that the recommendation type corresponding to the target recommendation video is a video type;

the second determining unit 1432 is further configured to determine, in response to that the loyalty data fails to match the loyalty requirement, that the recommendation type corresponding to the target recommendation video is a picture type.

In an optional embodiment, the second generating module 1430 is further configured to intercept a target number of recommended images from the at least one target candidate segment in response to the recommended type corresponding to the picture type;

the second generating module 1430 is further configured to combine the recommended images of the target number to generate the recommended material.

In an optional embodiment, the second obtaining module 1420 is further configured to obtain interaction popularity data of a target video, where the interaction popularity data is obtained by performing behavior collection on seed account numbers of a target number, where the seed account numbers are account numbers that have already viewed the target video;

the second obtaining module 1420 is further configured to determine a target collection segment of the target video based on the interaction heat data, where the target collection segment corresponds to a start time and an end time;

the second sending module 1440 is further configured to send a fragment collecting instruction to a second terminal, where the fragment collecting instruction is used to instruct the second terminal to collect the target collecting fragment of the target video;

the second receiving module 1410 is further configured to receive the target acquisition segment returned by the second terminal.

To sum up, according to the video recommended material determining device provided by the embodiment of the application, when the terminal needs to display the recommended material of the target recommended video in the poster display area of the video application interface, the server generates the corresponding recommended material according to at least one target candidate segment of the target recommended video, wherein the target candidate segment is a segment of the target recommended video for which the interaction popularity meets the recommendation requirement, and the server issues the generated recommended material to the terminal for display by the terminal. Because the displayed poster is a section with high interaction heat in the video to be recommended, the attractiveness to the user is high, and the recommendation effect of video recommendation can be improved. Meanwhile, the whole configuration process corresponding to the display content of the whole poster display area does not need manual participation, and is directly completed by a computer, so that the display efficiency of the propaganda poster can be improved.

It should be noted that: the video recommendation material display device and the video recommendation material determination device provided in the above embodiments are only exemplified by the division of the above functional modules, and in practical applications, the above functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the above described functions. In addition, the video recommended material display device and the video recommended material display method provided by the embodiment belong to the same concept, the video recommended material determination device and the video recommended material determination method provided by the embodiment belong to the same concept, and specific implementation processes thereof are detailed in method embodiments and are not repeated here.

Fig. 16 shows a block diagram of a terminal 1600 according to an exemplary embodiment of the present application. The terminal 1600 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Terminal 1600 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, etc.

Generally, terminal 1600 includes: a processor 1601, and a memory 1602.

Processor 1601 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 1601 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). Processor 1601 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also referred to as a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1601 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content that the display screen needs to display. In some embodiments, the processor 1601 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

Memory 1602 may include one or more computer-readable storage media, which may be non-transitory. The memory 1602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 1602 is used to store at least one instruction for execution by the processor 1601 to implement the video recommendation material display method provided by the method embodiments herein.

In some embodiments, the terminal 1600 may also optionally include: peripheral interface 1603 and at least one peripheral. Processor 1601, memory 1602 and peripheral interface 1603 may be connected by buses or signal lines. Various peripherals may be connected to peripheral interface 1603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 1604, a display 1605, a camera assembly 1606, audio circuitry 1607, a positioning assembly 1608, and a power supply 1609.

Peripheral interface 1603 can be used to connect at least one I/O (Input/Output) related peripheral to processor 1601 and memory 1602. In some embodiments, processor 1601, memory 1602, and peripheral interface 1603 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1601, the memory 1602 and the peripheral device interface 1603 may be implemented on a separate chip or circuit board, which is not limited by this embodiment.

The Radio Frequency circuit 1604 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 1604 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 1604 converts the electrical signal into an electromagnetic signal to be transmitted, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 1604 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuit 1604 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 1604 may also include NFC (Near Field Communication) related circuits, which are not limited in this application.

The display 1605 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 1605 is a touch display screen, the display screen 1605 also has the ability to capture touch signals on or over the surface of the display screen 1605. The touch signal may be input to the processor 1601 as a control signal for processing. At this point, the display 1605 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 1605 may be one, providing the front panel of the terminal 1600; in other embodiments, the display screens 1605 can be at least two, respectively disposed on different surfaces of the terminal 1600 or in a folded design; in still other embodiments, display 1605 can be a flexible display disposed on a curved surface or a folded surface of terminal 1600. Even further, the display 1605 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display 1605 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), or other materials.

The camera assembly 1606 is used to capture images or video. Optionally, camera assembly 1606 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 1606 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

The audio circuitry 1607 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 1601 for processing or inputting the electric signals to the radio frequency circuit 1604 to achieve voice communication. For stereo sound acquisition or noise reduction purposes, the microphones may be multiple and disposed at different locations of terminal 1600. The microphone may also be an array microphone or an omni-directional acquisition microphone. The speaker is used to convert electrical signals from the processor 1601 or the radio frequency circuit 1604 into sound waves. The loudspeaker can be a traditional film loudspeaker and can also be a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuit 1607 may also include a headphone jack.

The positioning component 1608 is configured to locate a current geographic Location of the terminal 1600 for purposes of navigation or LBS (Location Based Service). The Positioning component 1608 may be a Positioning component based on the Global Positioning System (GPS) in the united states, the beidou System in china, or the galileo System in russia.

Power supply 1609 is provided to supply power to various components within terminal 1600. Power supply 1609 may be alternating current, direct current, disposable or rechargeable. When power supply 1609 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery can also be used to support fast charge technology.

In some embodiments, terminal 1600 also includes one or more sensors 1610. The one or more sensors 1610 include, but are not limited to: acceleration sensor 1611, gyro sensor 1612, pressure sensor 1613, fingerprint sensor 1614, optical sensor 1615, and proximity sensor 1616.

The acceleration sensor 1611 can detect the magnitude of acceleration on three coordinate axes of the coordinate system established with the terminal 1600. For example, the acceleration sensor 1611 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 1601 may control the touch display screen 1605 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 1611. The acceleration sensor 1611 may also be used for acquisition of motion data of a game or a user.

Gyroscope sensor 1612 can detect the organism direction and the turned angle of terminal 1600, and gyroscope sensor 1612 can gather the 3D action of user to terminal 1600 with acceleration sensor 1611 in coordination. From the data collected by the gyro sensor 1612, the processor 1601 may perform the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization while shooting, game control, and inertial navigation.

The pressure sensor 1613 may be disposed on a side bezel of the terminal 1600 and/or underlying the touch display 1605. When the pressure sensor 1613 is disposed on the side frame of the terminal 1600, a user's holding signal of the terminal 1600 can be detected, and the processor 1601 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 1613. When the pressure sensor 1613 is disposed at the lower layer of the touch display screen 1605, the processor 1601 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 1605. The operability control comprises at least one of a button control, a scroll bar control, an icon control, and a menu control.

The fingerprint sensor 1614 is configured to collect a fingerprint of the user, and the processor 1601 is configured to identify the user based on the fingerprint collected by the fingerprint sensor 1614, or the fingerprint sensor 1614 is configured to identify the user based on the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the processor 1601 authorizes the user to perform relevant sensitive operations including unlocking a screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 1614 may be disposed on the front, back, or side of the terminal 1600. When a physical key or vendor Logo is provided on the terminal 1600, the fingerprint sensor 1614 may be integrated with the physical key or vendor Logo.

The optical sensor 1615 is used to collect ambient light intensity. In one embodiment, the processor 1601 may control the display brightness of the touch display screen 1605 based on the ambient light intensity collected by the optical sensor 1615. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 1605 is increased; when the ambient light intensity is low, the display brightness of the touch display 1605 is turned down. In another embodiment, the processor 1601 may also dynamically adjust the shooting parameters of the camera assembly 1606 based on the ambient light intensity collected by the optical sensor 1615.

A proximity sensor 1616, also referred to as a distance sensor, is typically disposed on a front panel of the terminal 1600. The proximity sensor 1616 is used to collect the distance between the user and the front surface of the terminal 1600. In one embodiment, the processor 1601 controls the touch display 1605 to switch from the light screen state to the rest screen state when the proximity sensor 1616 detects that the distance between the user and the front surface of the terminal 1600 is gradually decreased; when the proximity sensor 1616 detects that the distance between the user and the front surface of the terminal 1600 is gradually increased, the touch display 1605 is controlled by the processor 1601 to switch from the breath screen state to the bright screen state.

Those skilled in the art will appreciate that the configuration shown in fig. 16 is not limiting of terminal 1600, and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components may be employed.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, which may be a computer readable storage medium contained in a memory of the above embodiments; or it may be a separate computer-readable storage medium not incorporated into the terminal. The computer readable storage medium has stored therein at least one instruction, at least one program, code set, or set of instructions that is loaded and executed by the processor to implement the video recommended material display method of any of the above embodiments.

Optionally, the computer-readable storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a Solid State Drive (SSD), or an optical disc. The Random Access Memory may include a resistive Random Access Memory (ReRAM) and a Dynamic Random Access Memory (DRAM). The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for displaying video recommendation material, the method comprising:

acquiring a recommendation material of the target recommendation video, wherein the recommendation material is generated by at least one target candidate segment in the target recommendation video, the target candidate segment is a segment of which the interaction heat reaches the recommendation requirement in the target recommendation video, and the interaction heat is used for indicating the frequency condition of interactive operation generated when the target recommendation video is watched;

and displaying the recommended material in the poster display area.

2. The method of claim 1, wherein the determining a target recommendation video to recommend to a target account comprises:

acquiring a historical viewing record of the target account;

determining at least one historical set of run-by videos based on the historical viewing records;

determining a target set of run-length videos from the at least one historical set of run-length videos;

determining the target recommended video from the target set of serialized videos based on the historical viewing records.

3. The method of claim 2, wherein the determining a target run-through video set from the at least one historical run-through video set comprises:

obtaining interest degree data corresponding to each historical continuous video set by the target account;

determining the target run-of-video set based on the interestingness data.

4. The method according to any one of claims 1 to 3, wherein the obtaining of the recommended material of the target recommended video comprises:

sending a recommended material obtaining request to a server, wherein the recommended material obtaining request comprises a video identifier of the target recommended video, the server is used for determining at least one target candidate segment in the target recommended video according to the video identifier, and the recommended material is generated through the at least one target candidate segment;

and receiving the recommended material returned by the server.

5. A method according to any of claims 1 to 3, characterized in that the method further comprises:

receiving a fragment acquisition instruction sent by a server, wherein the fragment acquisition instruction is used for instructing the terminal to acquire a target acquisition fragment of a target video, the fragment acquisition instruction comprises a starting time and an ending time of the target acquisition fragment, and the server is used for determining the target acquisition fragment according to the interaction heat of the target video;

receiving a playing operation aiming at the target video;

responding to the target video to be played to the starting moment and the terminal meeting the segment acquisition requirement, and starting to record the target video;

stopping recording the target video in response to the target video being played to the end time, so as to obtain the target acquisition segment;

and uploading the target acquisition fragment to the server.

6. A method for determining video recommendation material, the method comprising:

and sending the recommended material to the first terminal.

7. The method of claim 6, wherein the generating recommended material for the target recommended video based on the at least one target candidate segment comprises:

acquiring a historical viewing record of the target account;

determining loyalty data of the target account to the run-of-video set based on the historical viewing records;

determining a recommendation type corresponding to the target recommendation video based on the loyalty data;

and generating the corresponding recommended material for the at least one target candidate segment according to the recommendation type.

8. The method of claim 7, wherein determining loyalty data of the target account to the run-of-video set based on the historical viewing record comprises:

determining the number of watched videos of the target account aiming at the continuous video set according to the historical watching records;

acquiring the total video number corresponding to the continuous video set;

determining the loyalty data based on a quantity gap between the viewed video quantity and the total video quantity, the quantity gap having a size that is inversely related to a height of the loyalty data.

9. The method of claim 7, wherein the recommended types include a video type and a picture type;

the determining a recommendation type corresponding to the target recommendation video based on the loyalty data includes:

in response to successful matching of the loyalty data and loyalty requirements, determining that a recommendation type corresponding to the target recommendation video is a video type;

and determining that the recommendation type corresponding to the target recommendation video is a picture type in response to the loyalty data failing to match with the loyalty requirement.

10. The method of claim 9, wherein the generating the at least one target candidate segment into the corresponding recommended material according to the recommendation type comprises:

in response to the recommended type corresponding to the picture type, intercepting a target number of recommended images from the at least one target candidate segment;

and combining the recommended images of the target number to generate the recommended material.

11. The method of any of claims 6 to 10, further comprising:

acquiring interaction heat data of a target video, wherein the interaction heat data are obtained by performing behavior acquisition on seed account numbers of a target number, and the seed account numbers are account numbers which have already watched the target video;

determining a target acquisition segment of the target video based on the interaction heat data, wherein the target acquisition segment corresponds to a starting time and an ending time;

sending a fragment acquisition instruction to a second terminal, wherein the fragment acquisition instruction is used for instructing the second terminal to acquire the target acquisition fragment of the target video;

and receiving the target acquisition fragment returned by the second terminal.

12. The method of claim 11, wherein sending the segment acquisition instruction to the second terminal comprises:

sending the fragment acquisition instruction to a first terminal set, wherein the first terminal set comprises a preset number of second terminals;

and in response to the fact that the target acquisition fragment is determined to be failed to be acquired by the first terminal set within a preset time period, sending the fragment acquisition instruction to a second terminal set, wherein the second terminal set comprises the preset number of second terminals.

13. A video recommendation material display apparatus, characterized in that the apparatus comprises:

the device comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining a target recommended video recommended to a target account, and the target recommended video is a video to be watched in a continuous video set associated with the target account;

14. An apparatus for determining a video recommendation material, the apparatus comprising:

15. A computer device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by the processor to implement the video recommended material display method of any one of claims 1 to 5 or the video recommended material determination method of any one of claims 6 to 12.

16. A computer-readable storage medium having stored therein at least one program code, the program code being loaded into and executed by a processor to implement the video recommended material displaying method according to any one of claims 1 to 5 or the video recommended material determining method according to any one of claims 6 to 12.