CN112383825A - Video recommendation method and device, electronic equipment and medium - Google Patents
Video recommendation method and device, electronic equipment and medium Download PDFInfo
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- CN112383825A CN112383825A CN202011282316.6A CN202011282316A CN112383825A CN 112383825 A CN112383825 A CN 112383825A CN 202011282316 A CN202011282316 A CN 202011282316A CN 112383825 A CN112383825 A CN 112383825A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/738—Presentation of query results
- G06F16/739—Presentation of query results in form of a video summary, e.g. the video summary being a video sequence, a composite still image or having synthesized frames
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Abstract
The application discloses a video recommendation method, a video recommendation device, electronic equipment and a medium, relates to the field of intelligent recommendation, and can be used for video playing scenes. The video recommendation method comprises the following steps: under the condition that a current user watches a current video, recommending a video identifier of a target video for the current user, wherein the target video comprises an updated video uploaded by an author concerned by the current user; displaying a preview video corresponding to the video identifier under the condition that the operation executed by the current user for the video identifier meets a preset operation condition, wherein the preview video comprises a plurality of frames of images determined from the target video; and receiving a confirmation operation executed by the current user for the preview video, and playing the target video for the current user based on the confirmation operation.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to the field of intelligent recommendation, and more particularly, to a video recommendation method, apparatus, electronic device, and medium.
Background
When a user watches a video, if the user needs to watch an updated video of a concerned author, the user usually needs to watch the updated video in the homepage of the author or click a recommended video for watching, and no matter how the user watches the updated video, the current video watched by the user is interrupted.
Disclosure of Invention
The application provides a video recommendation method and device, electronic equipment and a storage medium.
According to a first aspect, the present application provides a video recommendation method, including: the method comprises the steps that under the condition that a current user watches a current video, a video identifier of a target video is recommended for the current user, the target video comprises an updated video uploaded by an author concerned by the current user, and under the condition that the operation executed by the current user aiming at the video identifier meets a preset operation condition, a preview video corresponding to the video identifier is displayed, the preview video comprises multi-frame images determined from the target video, the confirmation operation executed by the current user aiming at the preview video is received, and the target video is played for the current user based on the confirmation operation.
According to a second aspect, the present application provides a video recommendation apparatus comprising: the device comprises a recommending module, a display module and a playing module. The recommendation module is used for recommending a video identifier of a target video for a current user under the condition that the current user watches the current video, wherein the target video comprises an updated video uploaded by an author concerned by the current user. The display module is used for displaying a preview video corresponding to the video identifier under the condition that the operation executed by the current user aiming at the video identifier meets a preset operation condition, wherein the preview video comprises a plurality of frames of images determined from the target video. The playing module is used for receiving a confirmation operation executed by the current user for the preview video and playing the target video for the current user based on the confirmation operation.
According to a third aspect, the present application provides an electronic device comprising: at least one processor and a memory communicatively coupled to the at least one processor. Wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.
According to a fourth aspect, the present application provides a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method as described above.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present application, nor do they limit the scope of the present application. Other features of the present application will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
fig. 1 schematically shows an application scenario of video recommendation according to an embodiment of the present application;
FIG. 2 schematically shows a flow chart of a video recommendation method according to an embodiment of the present application;
fig. 3 schematically shows a schematic diagram of a video recommendation method according to an embodiment of the application;
FIG. 4 schematically shows a flow chart of a video recommendation method according to another embodiment of the present application;
FIG. 5 schematically illustrates a schematic diagram of generating a preview video according to an embodiment of the present application;
FIG. 6 schematically illustrates a diagram of generating a preview video according to another embodiment of the present application;
FIG. 7 schematically illustrates a diagram of generating a preview video according to another embodiment of the present application;
FIG. 8 schematically illustrates a schematic diagram of determining a target video according to an embodiment of the present application;
FIG. 9 schematically illustrates a schematic diagram of determining a target video according to another embodiment of the present application;
FIG. 10 schematically illustrates a schematic diagram of determining a target video according to another embodiment of the present application;
fig. 11 schematically shows a block diagram of a video recommendation device according to an embodiment of the present application; and
fig. 12 is a block diagram of an electronic device for implementing a video recommendation method according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
The embodiment of the application provides a video recommendation method, which comprises the following steps: and under the condition that the current user watches the current video, recommending a video identifier of a target video for the current user, wherein the target video comprises an updated video uploaded by an author concerned by the current user. Then, in the case that the operation performed by the current user for the video identifier satisfies the preset operation condition, displaying a preview video corresponding to the video identifier, wherein the preview video comprises a plurality of frames of images determined from the target video. Next, a confirmation operation performed by the current user for the preview video is received, and the target video is played for the current user based on the confirmation operation.
Fig. 1 schematically shows an application scenario of video recommendation according to an embodiment of the present application.
As shown in fig. 1, an application scenario 100 of the embodiment of the present application includes, for example, an electronic device 110. The electronic device 110 includes, but is not limited to, a mobile phone and a computer.
In an embodiment of the present application, a current user may view a video through the electronic device 110. For example, when the current user watches the current video 111, the current user may be recommended at least one of the updated videos of the author of which the current user is interested. The manner in which the target video is recommended for the current user includes displaying a video identifier 112 of the target video, and the video identifier 112 may include, but is not limited to, a video title, a video cover, and the like of the target video.
After displaying the video identifier 112 of the target video, the current user can determine whether the target video is a video desired to be viewed through the video identifier 112, and if so, the current user can confirm to play the target video by clicking the video identifier 112.
An embodiment of the present application provides a video recommendation method, and a video recommendation method according to an exemplary embodiment of the present application is described below with reference to fig. 2 to 10 in conjunction with an application scenario of fig. 1.
Fig. 2 schematically shows a flow chart of a video recommendation method according to an embodiment of the present application.
As shown in fig. 2, the video recommendation method 200 according to the embodiment of the present application may include, for example, operations S201 to S203.
In operation S201, in a case that a current user watches a current video, a video identifier of a target video is recommended for the current user, where the target video includes an updated video uploaded by an author focused on by the current user.
In operation S202, in a case where an operation performed by the current user with respect to the video identifier satisfies a preset operation condition, a preview video corresponding to the video identifier is displayed, the preview video including a plurality of frames of images determined from the target video.
In operation S203, a confirmation operation performed by the current user with respect to the preview video is received, and the target video is played for the current user based on the confirmation operation.
In an embodiment of the application, a current user may view a video through an electronic device, the current video being displayed, for example, on a display unit of the electronic device. When the current user watches the current video, if the author concerned by the current user uploads the update video, the target video in the update video can be recommended to the current user. The manner of recommending the target video for the current user may include displaying a video identification of the target video on the display unit. The video identification may include at least one of a text, a picture, and an icon corresponding to the target video.
The current operations performed by the user for video identification include, for example, a single-click operation, a double-click operation, a long-press operation, and the like. The embodiment of the application judges whether the executed operation meets the preset operation condition, and displays the preview video if the preset operation condition is met, wherein the preview video is obtained based on the target video, and the preview video is part of the target video, and more specifically comprises a plurality of frames of images in the target video.
After the preview video is displayed, if the current user performs a confirmation operation on the preview video, which indicates that the target video is the video that the current user wants to watch, the target video may be played for the current user at this time. The confirmation operation may include, but is not limited to, a single-click operation, a double-click operation, and a long-press operation.
According to the technical scheme of the embodiment of the application, when the video is recommended for the user, the video identification of the target video can be recommended for the user, and the preview video corresponding to the video identification is recommended for the user based on the interactive behavior executed by the user aiming at the video identification. If the preview video is recommended directly, it is difficult for the current user to confirm the target video corresponding to the preview video, and particularly, in the case of recommending a plurality of preview videos in sequence, it is difficult for the current user to distinguish the plurality of preview videos. Therefore, according to the embodiment of the application, the video identification is recommended firstly, the user can determine the corresponding target video through the video tag, and then the preview video is indicated to be played according to the interactive operation of the current user for the video identification, so that the current user can further determine whether the target video is the video which the current user wants to watch through the preview video, and if so, the confirmation is executed for the preview video to indicate to play the target video, thereby improving the accuracy of video recommendation, enabling the recommended target video to be the video which the current user wants to watch, and avoiding the flow waste caused by the fact that the current user watches the video which the current user does not want to watch. In addition, the display of the video identifier or the preview video does not need to stop the playing of the current video, so that the interruption of the playing of the current video for searching the updated video which is desired to be watched by the current user is avoided, and the use experience of the user is improved.
Fig. 3 schematically shows a schematic diagram of a video recommendation method according to an embodiment of the present application.
As shown in fig. 3, the display unit of the electronic device includes, for example, a first display region 310 and a second display region 320, and the first display region 310 is different from the second display region 320. For example, the first display region 310 and the second display region 320 may not overlap each other, or the first display region 310 and the second display region 320 may partially overlap each other. The current video 310A is displayed, for example, in the first display area 310 and the video identification 320A of the target video is displayed, for example, in the second display area 320. When the stay time length exceeds the preset stay time length after the current user performs a click operation (long press operation) on the video identifier 320A, it indicates that the operation performed by the current user satisfies the preset operation condition, and at this time, the preview video 320B is displayed in the second display area 320.
After the current user watches the preview video 320B, it is determined that the target video 310B corresponding to the preview video 320B is a video that the user wants to watch, the user can click the preview video 320B to determine to play the target video 310B, and then the electronic device will play the target video 310B in the first display area 310, at this time, the second display area 320 may continue to display the video identifier of the preview video 320B or other updated videos.
In the embodiment of the application, the display is performed through the first display area and the second display area different from the first display area, so that when the target video is recommended for the current user, the playing of the current video does not need to be interrupted, and the viewing experience is improved. In addition, the embodiment of the application can recommend the preview video based on the stay time of the current user for executing the click operation on the video identification, so that the video is recommended based on the interaction of the user to improve the accuracy of video recommendation.
Fig. 4 schematically shows a flow chart of a video recommendation method according to another embodiment of the present application.
As shown in fig. 4, the video recommendation method 200 according to the embodiment of the present application may include, for example, operations S401 to S404.
In operation S401, in a case where the current user watches the current video, a video identifier of the target video is recommended for the current user.
In operation S402, in a case where an operation performed by the current user with respect to the video identifier satisfies a preset operation condition, a preview video corresponding to the video identifier is displayed.
In operation S403, a confirmation operation performed by the current user with respect to the preview video is received, and the target video is played for the current user based on the confirmation operation.
In operation S404, a preview video is generated based on the target video. The target video includes, for example, a large number of image frames, and the preview video is generated by extracting a part of the image frames from the target video and based on the extracted multi-frame images.
The operation S404 may be executed before the operation S401, or after the operation S401 and before the operation S402, and the execution sequence of each operation is not specifically limited in the embodiment of the present application.
In the embodiment of the application, the preview video with the shorter time length can be extracted from the target video with the longer time length, so that the preview video is played for the current user before the target video is played, the current user can conveniently and quickly confirm whether the target video is the video which the current user wants to watch based on the preview video, and the accuracy of video recommendation is improved.
A process of generating a preview video based on a target video will be described below with reference to fig. 5 to 7.
Fig. 5 schematically shows a schematic diagram of generating a preview video according to an embodiment of the present application.
As shown in FIG. 5, the target video 510 includes, for example, n frames of images P1、P2、P3、......、PnAnd n is an integer greater than 1.
When the author uploads the target video 510, the author may mark the multi-frame image Q in the target video 5101、Q2、Q3、......、QmM is an integer greater than 1 and less than n, and a marked multi-frame image Q1、Q2、Q3、......、QmSuch as important frame images identified for the author. Then, it is possible to perform processing based on the multi-frame image Q1、Q2、Q3、......、Qm Generating preview video 520, e.g. from a plurality of frames of image Q1、Q2、Q3、......、QmThe combination results in a preview video 520.
According to the embodiment of the application, the preview video can be generated according to the designation of the author, so that the main content of the target video can be embodied to a greater extent by the preview video, and the current user can quickly know the content of the target video based on the preview video.
Fig. 6 schematically shows a schematic diagram of generating a preview video according to another embodiment of the present application.
As shown in fig. 6, the target video 610 includes, for example, an n _1 frame image P1’、P2’、P3’、......、Pn1', n _1 is an integer greater than 1.
After the author uploads the target video 610, the target video 610 may be viewed by multiple users. When a plurality of users view the target video 610, an interactive behavior may be performed on the target video 610, for example, when the users view a highlight, the users may perform an interactive operation, such as a comment operation or a comment operation, on a frame image corresponding to the highlight.
In generating preview video 620, the number of comments in target video 610 may be determined based on comment operations or like operations of a plurality of historical users with respect to target video 610Multiframe image Q with large amount and/or number of praise1’、Q2’、Q3’、......、Qm_1', m _1 is an integer greater than 1 and less than n _ 1. And then based on a plurality of frame images Q1’、Q2’、Q3’、......、Qm_1' Generation of preview video 620, e.g. of multiple frames of image Q1’、Q2’、Q3’、......、Qm_1' combining results in preview video 620.
According to the embodiment of the application, the preview video can be generated according to the interactive behaviors of the historical users, so that the highlight part of the target video can be embodied to a greater extent by the preview video, and the current user can quickly know whether the target video is a video in which the current user is interested or not based on the preview video.
Fig. 7 schematically shows a schematic diagram of generating a preview video according to another embodiment of the present application.
As shown in fig. 7, the target video 710 includes, for example, an n _2 frame image P1”、P2”、P3”、......、Pn_2", n _2 is an integer greater than 1.
After the author uploads the target video 710, multiple frames of images Q can be extracted from the target video 710 at preset time intervals1”、Q2”、Q3”、......、Qm_2", m _2 is an integer greater than 1 and less than n _2, and the preset time interval is, for example, 5 minutes, 10 minutes, and so on. And then based on a plurality of frame images Q1”、Q2”、Q3”、......、Qm_2"generating preview video 720, e.g., multiple frames of image Q1”、Q2”、Q3”、......、Qm_2The "combine results in preview video 720.
Multiframe image Q1”、Q2”、Q3”、......、Qm_2The interval between the time instants of any two adjacent frames in "is the same. With frame image Q1”、Q2”、Q3"for example, frame image Q1”、Q2”、Q3"time instants in the target video are, for example, 1: 00, 6: 00, 11: 00, respectively, and are adjacentTwo-frame image Q1、Q2Is 5 minutes, and two adjacent frames of the image Q2”、Q3The interval between the timings of "was 5 minutes.
According to the embodiment of the application, the preview video can be generated by uniformly extracting the multi-frame images from the target video according to the preset time interval, so that the preview video can uniformly contain the content in the target video, and a current user can quickly know the video content of the target video based on the preview video.
According to embodiments of the present application, multiple types of preview videos may be generated based on a variety of ways. The plurality of types of preview video include, for example, at least one of a first type of preview video, a second type of preview video, and a third type of preview video. The first type preview video is generated by appointing multi-frame images from a target video according to an author, the second type preview video is generated according to the interactive behaviors of historical users aiming at the multi-frame images in the target video, and the third type preview video is generated by extracting the multi-frame images from the target video according to a preset time interval.
In one example, different types of preview videos may have different priorities, for example. Embodiments of the present application may display at least one of the first type preview video, the second type preview video, and the third type preview video based on the priority.
For example, a first type of preview video has a first priority, a second type of preview video has a second priority lower than the first priority, and a third type of preview video has a third priority lower than the second priority. For the same target video, the preview video corresponding to the target video can comprise a first type preview video, a second type preview video and a third type preview video, when a current user presses a video identifier for a long time, the first type preview video corresponding to the video identifier is preferentially recommended for the current user, if the first type preview video does not exist, the second type preview video can be recommended, and if the second type preview video does not exist, the third type preview video can be recommended. And recommending the preview video for the user based on the priority, so that the current user can know important content or wonderful content in the target video based on the recommended preview video as much as possible.
In another example, different types of preview videos may be purposefully recommended according to the viewing habits of the current user.
For example, in the case that the historical viewing record of the current user represents that the current user pays attention to the highlight content in the video, when the current user presses the video identifier for a long time, at least one of the first type preview video and the second type preview video is displayed for the current user. That is, if the current user learns to inertially fast forward to select the highlight content in the video while watching the video, it indicates that the current user usually focuses more on the highlight portion in the video, and at this time, when the current user presses the video identifier for a long time, the current user may be recommended a first type preview video with important image frames generated according to the author designation or a second type preview video with highlight image frames generated according to the interactive behavior of the historical user.
Or, under the condition that the historical watching record of the current user represents that the current user pays attention to all contents in the video, when the current user presses the video identifier for a long time, displaying the third type preview video for the current user. That is, if the current user does not usually perform a fast forward operation but watches videos from beginning to end when watching the videos, indicating that the current user usually pays more attention to the whole content in the videos, a third type preview video with more uniform distribution of multiple frames of images generated by extracting image frames in a target video according to a preset time interval may be recommended for the current user.
According to the embodiment of the application, different types of preview videos are recommended for the user in a targeted manner according to the watching habits of the current user, so that the recommended preview videos meet the requirements of the user, and the watching experience of the user is improved.
According to the embodiment of the application, after the author concerned by the current user uploads at least one update video, the target video interested by the current user can be determined from the at least one update video, and the video identification of the target video is recommended to the current user.
In one example, a video category of a current video is first determined, the video type including, for example, a game category, a shopping category, a movie category, and the like. Then, a target video is determined from the at least one updated video based on the video category of the current video, the video category of the target video is consistent with the video category of the current video, and then a video identifier of the target video is recommended for the current user.
Fig. 8 schematically shows a schematic diagram of determining a target video according to an embodiment of the present application.
As shown in fig. 8, the video category of the current video 810 is, for example, a game category. At least one update video uploaded by the author concerned by the current user includes, for example, a plurality of categories of update videos, such as update video 821, update video 822, and update video 823. The video categories of update video 821, update video 822, and update video 823 are, for example, a game category, a shopping category, and a movie category, respectively. The target video determined from update video 821, update video 822, and update video 823 is, for example, update video 821 whose video category is a game category, and video identification 821A of update video 821 is displayed for the current user next.
In the embodiment of the application, the target video is determined based on the video category of the current video, so that the determined target video is the video which the current user wants to watch, and therefore the watching requirement of the current user is met.
In another example, the video category and the viewing duration of the current video are first determined, and the viewing duration is the duration for which the current user has viewed the current video. And under the condition that the watching time length exceeds the preset watching time length, determining a target video from at least one updated video uploaded by an author concerned by the current user, wherein the video category of the target video is consistent with that of the current video. And then recommending the video identification of the target video for the current user.
Fig. 9 schematically shows a schematic diagram of determining a target video according to another embodiment of the present application.
As shown in fig. 9, the video category of the current video 910 is, for example, a game category. At least one update video uploaded by the author concerned by the current user includes, for example, multiple categories of update videos, such as an update video 921, an update video 922, and an update video 923. The video categories of the update video 921, the update video 922, and the update video 923 are, for example, a game category, a shopping category, and a movie category. The watched time length of the current user watching the current video 910 is, for example, the time length 910A, when the watching time length 910A exceeds the preset watching time length, it indicates that the current user is interested in the current video 910, at this time, the updated video 921 whose video category is the game category may be determined from the updated video 921, the updated video 922, and the updated video 923 to be the target video, and then the video identifier 921A of the updated video 921 is displayed for the current user. For example, if the preset viewing time length is 5 minutes, and the current viewing time length 910A is 10 minutes, the current viewing time length 910A exceeds the preset viewing time length.
In the embodiment of the application, the target video is determined based on the video category and the watching duration of the current video, so that the determined target video is a video which is interested by the current user, and the watching requirement of the current user is met.
In another example, a current author of a current video is determined, a target video is determined from at least one updated video uploaded by an author concerned by a current user, the author of the target video is consistent with the current author, and then a video identifier of the target video is recommended for the current user.
Fig. 10 schematically shows a schematic diagram of determining a target video according to another embodiment of the present application.
As shown in fig. 10, the current author of the current video 1010 is, for example, author a, and it is known from the current video 1010 viewed by the current user that the current user is interested in the update video uploaded by author a. The at least one update video uploaded by the author concerned by the current user includes, for example, update videos uploaded by multiple authors, such as update video 1021 uploaded by author a, update video 1022 uploaded by author B, and update video 1023 uploaded by author C. Then, the target video determined from the update video 1021, the update video 1022, and the update video 1023 is, for example, the update video 1021, the author of the update video 1021 is the same as that of the current video 1010, and the video identifier 1021A of the update video 1021 is displayed for the current user.
In an embodiment of the present application, the target video is determined based on the author of the current video, such that the determined target video is a video in which the current user is interested, thereby satisfying the viewing needs of the current user.
Fig. 11 schematically shows a block diagram of a video recommendation device according to an embodiment of the present application.
As shown in fig. 11, the video recommendation apparatus 1100 according to the embodiment of the present application includes, for example, a recommendation module 1101, a display module 1102, and a playback module 1103.
The recommending module 1101 may be configured to recommend, for a current user, a video identifier of a target video in a case where the current user watches the current video, where the target video includes an updated video uploaded by an author focused on by the current user. According to the embodiment of the present application, the recommending module 1101 may, for example, perform operation S201 described above with reference to fig. 2, which is not described herein again.
The display module 1102 may be configured to display a preview video corresponding to the video identifier if an operation performed by the current user on the video identifier satisfies a preset operation condition, where the preview video includes multiple frames of images determined from the target video. According to the embodiment of the present application, the display module 1102 may, for example, perform the operation S202 described above with reference to fig. 2, which is not described herein again.
The playing module 1103 may be configured to receive a confirmation operation performed by the current user for the preview video, and play the target video for the current user based on the confirmation operation. According to the embodiment of the present application, the playing module 1103 may perform the operation S203 described above with reference to fig. 2, for example, which is not described herein again.
According to the embodiment of the application, the preset operation condition comprises that the stay time length exceeds the preset stay time length after the click operation is executed on the video identifier.
According to an embodiment of the present application, the apparatus 1100 may further include a generation module that generates a preview video based on the target video.
According to the embodiment of the application, the generating module is specifically configured to determine a plurality of marked frames of images in the target video, where the plurality of frames of images are marked by an author when the target video is uploaded, and generate the preview video based on the plurality of frames of images.
According to the embodiment of the application, the generating module is specifically configured to determine multi-frame images in the target video based on the interaction behaviors of the plurality of historical users for the target video, and generate the preview video based on the multi-frame images.
According to the embodiment of the application, the determining the multi-frame image in the target video based on the interactive behaviors of the plurality of historical users on the target video comprises the following steps: determining at least one of a comment operation and a like operation performed on the target video when the plurality of historical users viewed the target video, and determining a frame image for which the at least one of the comment operation and the like operation is directed as a multi-frame image.
According to the embodiment of the application, the generation module is specifically configured to specify multiple frames of images from the target video, intervals between moments of every two adjacent frames of images in the multiple frames of images in the target video are the same, and generate the preview video based on the multiple frames of images.
According to an embodiment of the present application, the preview video includes at least one of a first type preview video, a second type preview video, and a third type preview video; the first type preview video is generated by appointing multi-frame images from the target video according to an author, the second type preview video is generated according to the interactive behaviors of historical users aiming at the multi-frame images in the target video, and the third type preview video is generated by extracting the multi-frame images from the target video according to a preset time interval.
According to an embodiment of the present application, the display module 1102 is specifically configured to display at least one of the first type preview video, the second type preview video, and the third type preview video based on the priority. Wherein the first type of preview video has a first priority, the second type of preview video has a second priority lower than the first priority, and the third type of preview video has a third priority lower than the second priority.
According to an embodiment of the present application, the display module 1102 is specifically configured to display at least one of the first type preview video and the second type preview video when the historical viewing record of the current user represents highlight content in the video that the current user pays attention to, and display the third type preview video when the historical viewing record of the current user represents all content in the video that the current user pays attention to.
According to an embodiment of the present application, the recommendation module 1101 is specifically configured to determine a video category of a current video, and determine a target video from at least one updated video uploaded by an author concerned by a current user, where the video category of the target video is consistent with the video category of the current video, and recommend a video identifier of the target video for the current user.
According to an embodiment of the present application, the recommending module 1101 is specifically configured to determine a video category and a viewing duration of a current video, where the viewing duration is a duration that a current user has viewed the current video, and when the viewing duration exceeds a preset viewing duration, a target video is determined from at least one updated video uploaded by an author concerned by the current user, and the video category of the target video is consistent with the video category of the current video, so as to recommend a video identifier of the target video for the current user.
According to an embodiment of the present application, the recommendation module 1101 is specifically configured to determine a current author of a current video, determine a target video from at least one updated video uploaded by an author concerned by a current user, where the author of the target video is consistent with the current author, and recommend a video identifier of the target video for the current user.
According to the embodiment of the application, the video identification comprises at least one of characters, pictures and icons.
According to an embodiment of the present application, at least one of the current video and the target video is displayed in a first display area, and at least one of the video identification and the preview video is displayed in a second display area, the first display area and the second display area being different.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
Fig. 12 is a block diagram of an electronic device for implementing a video recommendation method according to an embodiment of the present application.
As shown in fig. 12, the diagram is a block diagram of an electronic device 1200 of a video recommendation method according to an embodiment of the present application. The electronic device 1200 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 12, the electronic apparatus 1200 includes: one or more processors 1210, a memory 1220, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device 1200, including instructions stored in or on a memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to an interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices 1200 may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 12, one processor 1210 is taken as an example.
The memory 1220 is a non-transitory computer readable storage medium provided herein. The memory stores instructions executable by the at least one processor to cause the at least one processor to perform the video recommendation method provided herein. The non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to perform the video recommendation method provided herein.
The memory 1220 is a non-transitory computer readable storage medium, and can be used for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the video recommendation method in the embodiment of the present application (for example, the recommendation module 1101, the display module 1102, and the play module 1103 shown in fig. 11). The processor 1210 executes various functional applications of the server and data processing, i.e., implements the video recommendation method in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 1220.
The memory 1220 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the electronic apparatus 1200 recommended by the video, and the like. Further, the memory 1220 may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 1220 may optionally include memory located remotely from the processor 1210, which may be connected to the video recommendation electronic device 1200 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device 1200 of the method for video recommendation may further include: an input device 1230 and an output device 1240. The processor 1210, memory 1220, input device 1230, and output device 1240 may be connected by a bus or other means, such as by a bus connection in fig. 12.
The input device 1230 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the video recommendation electronic apparatus 1200, such as an input device like a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointer stick, one or more mouse buttons, a track ball, a joystick, etc. The output device 1240 may include a display device, an auxiliary lighting device (e.g., an LED), a haptic feedback device (e.g., a vibration motor), and the like. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (18)
1. A video recommendation method, comprising:
under the condition that a current user watches a current video, recommending a video identifier of a target video for the current user, wherein the target video comprises an updated video uploaded by an author concerned by the current user;
displaying a preview video corresponding to the video identifier under the condition that the operation executed by the current user for the video identifier meets a preset operation condition, wherein the preview video comprises a plurality of frames of images determined from the target video; and
and receiving a confirmation operation executed by the current user for the preview video, and playing the target video for the current user based on the confirmation operation.
2. The method of claim 1, wherein the preset operating condition comprises a dwell time period exceeding a preset dwell time period after a click operation is performed on the video identification.
3. The method of claim 1, further comprising:
and generating the preview video based on the target video.
4. The method of claim 3, wherein the generating the preview video based on the target video comprises:
determining a plurality of marked frames of images in the target video, wherein the plurality of frames of images are marked by an author when the target video is uploaded; and
and generating the preview video based on the plurality of frames of images.
5. The method of claim 3, wherein the generating the preview video based on the target video comprises:
determining a plurality of frames of images in the target video based on the interactive behaviors of a plurality of historical users for the target video; and
and generating the preview video based on the plurality of frames of images.
6. The method of claim 5, wherein the determining a plurality of frames of images in the target video based on the plurality of historical user interaction behaviors with respect to the target video comprises:
determining at least one of comment operations and like operations performed on the target video while the plurality of historical users viewed the target video; and
determining a frame image to which at least one of the comment operation and the like is directed as the multi-frame image.
7. The method of claim 3, wherein the generating the preview video based on the target video comprises:
designating multiple frames of images from the target video, wherein the intervals between the moments of every two adjacent frames of images in the multiple frames of images in the target video are the same; and
and generating the preview video based on the plurality of frames of images.
8. The method of claim 1, wherein the preview video comprises at least one of a first type of preview video, a second type of preview video, and a third type of preview video; the first type preview video is generated by appointing multi-frame images from a target video according to an author, the second type preview video is generated according to the interactive behaviors of historical users aiming at the multi-frame images in the target video, and the third type preview video is generated by extracting the multi-frame images from the target video according to a preset time interval.
9. The method of claim 8, wherein the displaying a preview video corresponding to the video identification comprises:
displaying at least one of the first type of preview video, the second type of preview video, and the third type of preview video based on a priority;
wherein the content of the first and second substances,
the first type of preview video has a first priority;
the second type of preview video has a second priority lower than the first priority;
the third type of preview video has a third priority lower than the second priority.
10. The method of claim 8, wherein the displaying a preview video corresponding to the video identification comprises:
displaying at least one of the first type preview video and the second type preview video in a case where the historical viewing record of the current user characterizes highlight content in the current user attention video; and
displaying the third type preview video when the historical viewing record of the current user represents all content in the current user attention video.
11. The method of claim 1, wherein the recommending, for the current user, a video identification of a target video in a case where the current user is watching a current video comprises:
determining a video category of the current video;
determining the target video from at least one updated video uploaded by an author concerned by the current user, wherein the video category of the target video is consistent with that of the current video; and
and recommending the video identification of the target video for the current user.
12. The method of claim 1, wherein the recommending, for the current user, a video identification of a target video in a case where the current user is watching a current video comprises:
determining the video category and the watching duration of the current video, wherein the watching duration is the duration of the current video watched by the current user;
determining the target video from at least one updated video uploaded by an author concerned by the current user under the condition that the watching time length exceeds a preset watching time length, wherein the video category of the target video is consistent with that of the current video; and
and recommending the video identification of the target video for the current user.
13. The method of claim 1, wherein the recommending, for the current user, a video identification of a target video in a case where the current user is watching a current video comprises:
determining a current author of the current video;
determining the target video from at least one updated video uploaded by an author concerned by the current user, wherein the author of the target video is consistent with the current author; and
and recommending the video identification of the target video for the current user.
14. The method of any one of claims 1 to 13, wherein the video indication comprises at least one of a text, a picture, an icon.
15. The method of any of claims 1-13, wherein at least one of the current video and the target video is displayed in a first display area, and at least one of the video logo and the preview video is displayed in a second display area, the first display area and the second display area being different.
16. A video recommendation apparatus comprising:
the recommendation module is used for recommending a video identifier of a target video for a current user under the condition that the current user watches the current video, wherein the target video comprises an updated video uploaded by an author concerned by the current user;
the display module is used for displaying a preview video corresponding to the video identifier under the condition that the operation executed by the current user aiming at the video identifier meets a preset operation condition, wherein the preview video comprises a plurality of frames of images determined from the target video; and
and the playing module is used for receiving the confirmation operation executed by the current user aiming at the preview video and playing the target video for the current user based on the confirmation operation.
17. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 15.
18. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1 to 15.
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