CN112052354A

CN112052354A - Video recommendation method, video display method and device and computer equipment

Info

Publication number: CN112052354A
Application number: CN202010886908.2A
Authority: CN
Inventors: 万朝阳
Original assignee: Beijing Dajia Internet Information Technology Co Ltd
Current assignee: Beijing Dajia Internet Information Technology Co Ltd
Priority date: 2020-08-28
Filing date: 2020-08-28
Publication date: 2020-12-08

Abstract

The disclosure relates to a video recommendation method, a video display device, computer equipment and a storage medium, and belongs to the field of computers. According to the video recommendation method and device, the target video to be recommended is determined based on the POI points in the target range around the position where the terminal is located, and then video recommendation is performed based on the map interface, so that a richer and diversified video recommendation mode is provided, the target video which is possibly interested in the peripheral position can be accurately recommended to the terminal, and the video recommendation accuracy and the human-computer interaction efficiency are greatly improved.

Description

Video recommendation method, video display method and device and computer equipment

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a video recommendation method, a video display method, an apparatus, a computer device, and a storage medium.

Background

With the development of computer technology, more and more users can browse multimedia resources through terminal access, for example, users can watch short videos at any time based on short video applications on the terminals. In the current mainstream video recommendation mode, recommendation is usually performed based on a collaborative filtering algorithm, that is, massive users are divided into a plurality of user groups with higher similarity according to user characteristics, and the same video is recommended to each user in the same user group, that is, the video preference of the user group is adopted to represent the video preference of an individual user, and because the individual difference of the user is obvious, the recommendation mode is single, the recommendation accuracy is low, and the human-computer interaction efficiency is low.

Disclosure of Invention

The present disclosure provides a video recommendation method, a video display device, a computer device, and a storage medium, so as to enrich video recommendation manners and improve video recommendation accuracy and human-computer interaction efficiency. The technical scheme of the disclosure is as follows:

according to a first aspect of the embodiments of the present disclosure, there is provided a video recommendation method, including:

acquiring at least one interest point in a target range of a position of a terminal;

screening a plurality of original videos based on the at least one interest point to obtain at least one target video matched with the at least one interest point;

and recommending the at least one target video to the terminal based on a map interface.

In one possible embodiment, the filtering, based on the at least one interest point, a plurality of original videos to obtain at least one target video matching the at least one interest point includes:

respectively acquiring at least one candidate video which accords with a target position condition between a positioning position and the geographic position of the at least one interest point from the plurality of original videos;

and screening the at least one target video matched with the description information of the at least one interest point from the at least one candidate video.

In one possible implementation, the filtering, from the at least one candidate video, the at least one target video that matches the description information of the at least one interest point includes:

acquiring a content tag of the at least one candidate video;

and determining the candidate video with the similarity between the content label and the description information of any interest point larger than a similarity threshold as the target video.

In one possible implementation, the determining, as the target video, the candidate video with the similarity between the content tag and the description information of any one of the interest points greater than the similarity threshold includes:

for any interest point, obtaining a word vector of at least one keyword in the description information of the interest point;

respectively obtaining a plurality of similarities between the word vector of the at least one keyword and the word vector of the content label of the at least one candidate video;

and determining the candidate videos with the similarity degrees larger than the similarity threshold value in the plurality of similarity degrees as target videos.

for any interest point, acquiring at least one keyword in the description information of the interest point;

and in response to the content label of any candidate video being the same as any keyword, determining any candidate video as the target video.

In one possible implementation, the obtaining, from the plurality of original videos, at least one candidate video meeting the target location condition between the positioning location and the geographic location of the at least one point of interest respectively includes:

for any interest point, at least one candidate video with the distance between the positioning position and the geographic position of the any interest point smaller than a distance threshold value is obtained from the plurality of original videos.

In a possible implementation manner, the obtaining at least one point of interest within the target range of the location of the terminal includes:

obtaining the at least one point of interest from a positioning server;

the recommending the at least one target video to the terminal based on the map interface comprises:

and sending the at least one target video to the positioning server, and recommending the at least one target video to the terminal by the positioning server based on a map interface.

According to a second aspect of the embodiments of the present disclosure, there is provided a video presentation method, including:

displaying the position of the terminal and video function options in a map interface of the target application;

sending a video recommendation request in response to the triggering operation of the video function option;

receiving at least one target video returned based on the video recommendation request, wherein the at least one target video is matched with at least one interest point in a target range of the position of the terminal;

presenting the at least one target video in the map interface.

According to a third aspect of the embodiments of the present disclosure, there is provided a video recommendation apparatus including:

the terminal comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire at least one interest point in a target range of a position where the terminal is located;

the screening unit is configured to perform screening on a plurality of original videos based on the at least one interest point to obtain at least one target video matched with the at least one interest point;

a recommending unit configured to recommend the at least one target video to the terminal based on a map interface.

In one possible embodiment, the screening unit comprises:

an obtaining subunit, configured to perform obtaining, from the plurality of original videos, at least one candidate video that meets a target location condition between a positioning location and a geographic location of the at least one point of interest, respectively;

a screening subunit configured to perform screening to obtain the at least one target video matching with the description information of the at least one interest point from the at least one candidate video.

In one possible embodiment, the screening subunit comprises:

an acquisition subunit configured to perform acquisition of a content tag of the at least one candidate video;

and the determining subunit is configured to perform determination of the candidate video with the similarity between the content label and the description information of any interest point larger than a similarity threshold as the target video.

In one possible embodiment, the determining subunit is configured to perform:

In one possible embodiment, the obtaining subunit is configured to perform:

In one possible implementation, the obtaining unit is configured to perform: obtaining the at least one point of interest from a positioning server;

the recommending unit is configured to perform: and sending the at least one target video to the positioning server, and recommending the at least one target video to the terminal by the positioning server based on a map interface.

According to a fourth aspect of the embodiments of the present disclosure, there is provided a video display apparatus, comprising:

the display unit is configured to display the position of the terminal and video function options in a map interface of the target application;

a sending unit configured to execute a video recommendation request in response to a trigger operation on the video function option;

the receiving unit is configured to execute receiving of at least one target video returned based on the video recommendation request, wherein the at least one target video is matched with at least one interest point in a target range of the position of the terminal;

the display unit is further configured to perform presentation of the at least one target video in the map interface.

According to a fifth aspect of embodiments of the present disclosure, there is provided a computer apparatus comprising:

one or more processors;

one or more memories for storing the one or more processor-executable instructions;

wherein the one or more processors are configured to perform the video recommendation method of any one of the above first aspect and possible implementations of the first aspect; or, the video presentation method of any of the above second aspect and possible embodiments of the second aspect is performed.

According to a sixth aspect of embodiments of the present disclosure, there is provided a storage medium, wherein at least one instruction of the storage medium, when executed by one or more processors of a computer device, enables the computer device to perform the video recommendation method of any one of the above first aspect and possible implementations of the first aspect; or, the video presentation method of any of the above second aspect and possible embodiments of the second aspect is performed.

According to a seventh aspect of embodiments of the present disclosure, there is provided a computer program product comprising one or more instructions executable by one or more processors of a computer device to enable the computer device to perform the video recommendation method of any one of the above first aspect and possible implementations of the first aspect; or, the video presentation method of any of the above second aspect and possible embodiments of the second aspect is performed.

The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:

the target video to be recommended is determined based on the POI (Point of Interest) in the target range around the position of the terminal, and then video recommendation is performed based on a map interface, so that richer and diversified video recommendation modes are provided, the target video which is possibly interested in the peripheral position can be accurately recommended to the terminal, and the video recommendation accuracy and the human-computer interaction efficiency are greatly improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.

FIG. 1 is a schematic diagram of an implementation environment of a video recommendation method according to an example embodiment;

FIG. 2 is a flow diagram illustrating a method of video recommendation in accordance with an exemplary embodiment;

FIG. 3 is an interaction flow diagram illustrating a method of video recommendation in accordance with an exemplary embodiment;

fig. 4 is a schematic flowchart of a video recommendation method provided by an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of a map interface for displaying a target video according to an embodiment of the present disclosure;

FIG. 6 is a block diagram illustrating a logical structure of a video recommendation device in accordance with an exemplary embodiment;

FIG. 7 is a block diagram illustrating the logical structure of a video presentation device in accordance with an exemplary embodiment;

fig. 8 shows a block diagram of a terminal provided in an exemplary embodiment of the present disclosure;

fig. 9 is a schematic structural diagram of a server according to an embodiment of the present disclosure.

Detailed Description

In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

The user information to which the present disclosure relates may be information authorized by the user or sufficiently authorized by each party.

Fig. 1 is a schematic diagram of an implementation environment of a video recommendation method according to an exemplary embodiment, referring to fig. 1, in which a terminal 101, a location server 102 and a video server 103 may be included, and details are described below:

the terminal 101 is configured to present a recommended target video, and optionally, a target application capable of providing LBS service (Location Based Services) is installed on the terminal 101, for example, the target application includes but is not limited to: map applications, navigation applications, taxi taking applications, social applications, and the like. After the user starts the target application, a map interface is displayed in the target application, the position of the terminal and video function options are displayed in the map interface, and after the user clicks the video function options, the terminal is triggered to send a video recommendation request to the positioning server 102.

The location server 102 is used to provide the LBS service to the terminal 101 and recommend a target video to the terminal 101 through information interaction with the video server 103. Optionally, the location server 102 comprises at least one of a server, a plurality of servers, a cloud computing platform, or a virtualization center. Optionally, the positioning server 102 undertakes primary computational work and the terminal 101 undertakes secondary computational work; or, the positioning server 102 undertakes the secondary computing work, and the terminal 101 undertakes the primary computing work; or, the positioning server 102 and the terminal 101 perform cooperative computing by using a distributed computing architecture.

In some embodiments, after receiving the video recommendation request of the terminal 101, the server 102 queries at least one point of interest of the location of the terminal 101 according to the location of the terminal 101, sends the at least one point of interest to the video server 103, and returns at least one target video to the positioning server 102 because the video server 103 filters out at least one target video according to the at least one point of interest.

The video server 103 is configured to screen at least one target video matched with at least one point of interest from a video library according to the at least one point of interest sent by the positioning server 102, send the at least one target video to the positioning server 102, and the positioning server 102 recommends the at least one target video to the terminal 101. Optionally, the video server 103 comprises at least one of a server, a plurality of servers, a cloud computing platform, or a virtualization center. Optionally, the video server 103 undertakes primary computational work and the terminal 101 undertakes secondary computational work; or, the video server 103 undertakes the secondary computing work, and the terminal 101 undertakes the primary computing work; or, the video server 103 and the terminal 101 perform cooperative computing by using a distributed computing architecture.

It should be noted that the terminal 101 device types may include: at least one of a smart phone, a tablet computer, an e-book reader, an MP3(Moving Picture Experts Group Audio Layer III, motion Picture Experts compression standard Audio Layer 3) player, an MP4(Moving Picture Experts Group Audio Layer IV, motion Picture Experts compression standard Audio Layer 4) player, a laptop portable computer, or a desktop computer. The terminal 101 is, for example, a smartphone, or other hand-held portable electronic device. The following embodiments are illustrated with the terminal 101 comprising a smartphone.

Those skilled in the art will appreciate that the number of terminals 101 described above may be greater or fewer. For example, the number of the terminals 101 may be only one, or the number of the terminals 101 may be several tens or hundreds, or more. The number and the device type of the terminals 101 are not limited in the embodiment of the present disclosure.

Fig. 2 is a flowchart illustrating a video recommendation method according to an exemplary embodiment, and referring to fig. 2, the video recommendation method is applied to a computer device, and the following description takes the computer device as a video server as an example.

In step 201, the video server obtains at least one point of interest within a target range of a location where the terminal is located.

In step 202, the video server filters a plurality of original videos based on the at least one interest point to obtain at least one target video matching the at least one interest point.

In step 203, the video server recommends the at least one target video to the terminal based on the map interface.

According to the method provided by the embodiment of the disclosure, the target video to be recommended is determined based on the POI points in the target range around the position where the terminal is located, and then video recommendation is performed based on the map interface, so that richer and diversified video recommendation modes are provided, the target video which may be interested in the peripheral position can be accurately recommended to the terminal, and the video recommendation accuracy and the human-computer interaction efficiency are greatly improved.

In one possible embodiment, the filtering, based on the at least one interest point, a plurality of original videos, and obtaining at least one target video matching the at least one interest point includes:

In one possible embodiment, the filtering, from the at least one candidate video, the at least one target video matching the description information of the at least one interest point includes:

acquiring a content tag of the at least one candidate video;

In one possible implementation, determining, as the target video, the candidate video with the similarity between the content tag and the description information of any one of the interest points greater than the similarity threshold includes:

In one possible embodiment, the obtaining, from the plurality of original videos, at least one candidate video meeting the target location condition between the positioning location and the geographic location of the at least one point of interest respectively includes:

In one possible implementation, the obtaining at least one point of interest within a target range of a location of the terminal includes:

obtaining the at least one point of interest from a positioning server;

recommending the at least one target video to the terminal based on the map interface comprises:

All the above optional technical solutions may be combined arbitrarily to form the optional embodiments of the present disclosure, and are not described herein again.

Fig. 3 is an interaction flowchart illustrating a video recommendation method according to an exemplary embodiment, where the video recommendation method is used in an interaction process between a terminal and a positioning server and a video server, as shown in fig. 3, and the embodiment includes the following steps.

In step 301, the terminal displays the position of the terminal and video function options in a map interface of the target application.

The target application is any application program capable of providing the LBS service, such as the target application includes but is not limited to: map applications, navigation applications, taxi taking applications, social applications, and the like.

In the above process, the user starts the target application on the terminal, and displays a map interface in the target application, optionally, the map interface includes a map area and an interaction area, the location of the terminal is displayed in the map area in an electronic map manner, and a plurality of function options are displayed in the interaction area, for example, the plurality of function options include but are not limited to: optionally, a POI point list around the position where the terminal is located is further displayed in the interaction area, where the POI point list includes at least one POI point, which is introduced in the following step 303 and is not described herein again.

When the terminal detects the triggering operation of the video function option by the user, the following step 302 is executed.

In step 302, the terminal sends a video recommendation request to the positioning server in response to the user's triggering operation on the video function option.

Optionally, the trigger operation includes at least one of a click operation, a touch operation, a long press operation, or a voice instruction.

And when the terminal detects the triggering operation of the user on the video function option, sending a video recommendation request to the positioning server, wherein the video recommendation request is used for requesting to acquire at least one target video.

In some embodiments, the video recommendation request only carries the terminal identifier, and the positioning server queries the position of the terminal and the surrounding POI point list according to the terminal identifier, so that the communication overhead during the transmission of the video recommendation request can be reduced.

In some embodiments, the video recommendation request directly carries the position of the terminal, and the positioning server determines the surrounding POI point list according to the position of the terminal, so that the calculation amount of the positioning server can be reduced.

In some embodiments, the video recommendation request further carries a POI point list around the location where the terminal is located, and the positioning server directly forwards the POI point list to the video server, so that the calculation amount of the positioning server can be further reduced.

In the above step 302, the location server provides the LBS service for the terminal, and recommends the target video to the terminal in the process of providing the LBS service, in some embodiments, the location server may be integrated inside the video server, that is, in the process of providing the video service by the video server, the target video is recommended to the terminal based on the map interface, and at this time, the terminal sends the video recommendation request to the video server, so that by integrating the location server inside the video server, the communication overhead between the location server and the video server can be saved.

In step 303, after receiving the video recommendation request, the positioning server sends at least one POI point within the target range of the location of the terminal to the video server.

The target range may be in any shape, for example, a rectangular area with the position of the terminal as a center, or a circular area with the position of the terminal as a center, or may also be in an irregular shape, or may also be an administrative area with the position of the terminal located.

The at least one POI point is at least one business entity around the position of the terminal, in a popular way, the POI point refers to a position point which has non-geographic significance and exists in a map, such as a bank, a restaurant, a hospital, a school, an office building and other places which have non-geographic significance, the places are not position points which are represented by single longitude and latitude data in the geographic significance, and the at least one POI point also has a specific and entity business entity, and can provide certain convenient services for users.

It should be noted that, for each POI point, the geographic location of the POI point and the description information of the POI point may be used to represent the POI point, where the description information is used to describe non-geographic information related to the POI point.

Optionally, the geographic location of the POI point includes latitude and longitude data of the POI point, or the geographic location of the POI point includes a GeoHash character string of the POI point, that is, the geographic location of each POI point is represented by using the GeoHash character string.

Optionally, the description information of the POI point includes non-geographic information such as an entity name, entity details, an entity photo, a visitor comment, and the like of the POI point.

In one example, assuming that a certain POI spot is a restaurant, the geographic location of the POI spot includes latitude and longitude data of the POI spot, and the description information of the POI spot includes non-geographic information such as a restaurant name, a restaurant profile, a restaurant interior photo, menu information, a visitor comment, and the like.

In some embodiments, it is assumed that the video recommendation request only includes a terminal identifier, after receiving the video recommendation request, the positioning server parses the video recommendation request to obtain the terminal identifier, invokes a positioning technology to determine a location of a terminal corresponding to the terminal identifier, and then queries, from a database, at least one POI point located within a target range of the location of the terminal with the location of the terminal as an index.

Optionally, assuming that the longitude and latitude data represents the location of the terminal, the positioning server may determine, in the electronic map, a circular area with the longitude and latitude data as a center and a target length as a radius, and then determine all the POI points covered in the circular area as the at least one POI point. The target length is any value greater than 0.

Optionally, assuming that the location of the terminal is represented by a GeoHash character string, since a GeoHash character string can be actually mapped to a rectangular geographic area in the real world, the positioning server may directly determine all POI points that are the same as the GeoHash character string of the location of the terminal as the at least one POI point, and since the POI points are the same as the GeoHash character string of the location of the terminal, it means that the POI points and the location of the terminal are located in the rectangular geographic area mapped by the same GeoHash character string.

Further, according to different precision requirements, a POI point which is the same as a previous target position of the GeoHash of the position of the terminal can be selected as the at least one POI point, the target position is any bit number which is greater than or equal to 1, for example, a 7-bit GeoHash character string is used for representing the position of the terminal, and under a lower precision requirement, a POI point which is the same as the previous 6 bits of the 7-bit GeoHash character string can be selected as the at least one POI point.

In some embodiments, assuming that the video recommendation request includes the location of the terminal, the location server only needs to query, from the database, at least one POI point located within a target range of the location of the terminal according to the location of the terminal. The query process is similar to the above case, and is not described here.

In some embodiments, assuming that the video recommendation request includes not only the location of the terminal, but also a POI point list loaded previously by the terminal, where the POI point list includes at least one POI point, the positioning server only needs to forward the POI point list to the video server.

In step 304, the video server obtains at least one POI point within a target range of the location of the terminal from the positioning server.

In the above process, the video server receives at least one POI point sent by the positioning server, and performs the following step 305.

In some embodiments, the positioning server may be integrated inside the video server, that is, the terminal directly sends a video recommendation request to the video server, and the video server calls the positioning module to obtain the corresponding POI point, so that by integrating the positioning server inside the video server, the communication overhead between the positioning server and the video server can be saved.

In step 305, the video server obtains at least one candidate video meeting the target location condition between the positioning location and the geographic location of the at least one POI point from the plurality of original videos respectively.

In some embodiments, for any one POI point, the video server obtains at least one candidate video from the plurality of original videos in the video library, where a distance between the locating location and the geographic location of the any one POI point is less than a distance threshold. Wherein the distance threshold is any value greater than or equal to 0.

In some embodiments, for any POI point, the video server ranks the videos in the video library in an order from small to large according to the distance between the positioning position and the any POI point, and determines the video ranked at the top N (N ≧ 1) bits as the at least one candidate video (N candidate videos).

In some embodiments, since a video library usually stores a large amount of original videos, a plurality of videos in the same city can be screened out by rough screening according to the city where the at least one POI point is located, and then the at least one candidate video is screened out from the plurality of videos in the same city, so that invalid screening and redundant calculation of videos in different cities can be avoided, and the overall video screening efficiency can be improved.

In step 306, the video server filters at least one target video matching the description information of the at least one POI point from the at least one candidate video.

Wherein, the matching of a target video and a POI point means that: the similarity between the content label of the target video and the description information of the POI point is higher than a similarity threshold value. Wherein the similarity threshold is any value greater than or equal to 0.

Optionally, the video server may obtain the content tag of the at least one candidate video, and then determine, as the target video, the candidate video whose similarity with the description information of any one POI point is greater than the similarity threshold.

In some embodiments, when determining the similarity, for any one POI, the video server obtains a word vector of at least one keyword in the description information of the any one POI; respectively obtaining a plurality of similarities between the word vector of the at least one keyword and the word vector of the content label of the at least one candidate video; and determining the candidate videos with the similarity degrees larger than the similarity threshold value as the target videos.

In the above process, for any one POI, the video server extracts at least one keyword in the description information of the any one POI, performs vectorization (e.g., Embedding processing) on the at least one keyword to obtain a word vector of the at least one keyword, and similarly, performs vectorization (e.g., Embedding processing) on the content tag of the at least one candidate video to obtain a word vector of the content tag of the at least one candidate video, and then calculates similarity between every two word vectors of the keyword and the content tag to obtain a plurality of similarities, where the similarity may include euclidean distance, the smaller the euclidean distance is, the greater the similarity is, and the greater the cosine similarity is, the greater the similarity is, and the greater the similarity is, and the. And finally, determining the candidate video corresponding to the content label with the similarity greater than the similarity threshold value in the plurality of similarities as the target video. By respectively vectorizing the keywords and the content tags, the similarity of the keywords and the content tags in a word vector space can be accurately measured, and the accuracy of the target video screening can be improved.

In some embodiments, when determining the similarity, for any one POI point, the video server obtains at least one keyword in the description information of the any one POI point; and in response to the content label of any candidate video being the same as any keyword, determining any candidate video as the target video.

In the above process, it can be actually realized by a keyword matching technology, that is, if the content tag of any one candidate video is the same as (i.e., matches) any one keyword of the description information of the POI point, any one candidate video is determined as one target video. Therefore, the complex vectorization work is avoided, and the speed of screening the target video can be increased.

In step 305 and step 306, the video server filters a plurality of original videos based on the at least one POI point to obtain at least one target video matching with the at least one POI point. In the embodiments of the present disclosure, the screening based on the geographic location and then the screening based on the description information are only taken as an example, in some embodiments, the screening may also be performed based on the description information and then the screening based on the geographic location, and the execution sequence of the two types of screening logics is not specifically limited in the embodiments of the present disclosure.

In step 307, the video server sends the at least one target video to the positioning server.

And recommending the at least one target video to the terminal by the positioning server based on a map interface.

In the process, the video server screens at least one target video from massive videos in the video library, and then packages and sends the at least one target video to the positioning server, so that the positioning server can additionally recommend the target video associated with the surrounding POI points when providing LBS service for the terminal, and the functionality and interest of target application can be greatly improved.

In step 308, the positioning server sends the at least one target video to the terminal.

In the above process, after receiving the at least one target video sent by the video server, the positioning server forwards the at least one target video to the terminal.

Step 307-.

In step 309, the terminal receives at least one target video returned by the positioning server based on the video recommendation request.

And the at least one target video is matched with at least one POI point in the target range of the position of the terminal.

After the terminal receives the at least one target video returned based on the video recommendation request, the following step 310 is performed to show the at least one target video in the map interface.

In the above step 309, the terminal receives the at least one target video from the positioning server for example, in some embodiments, the positioning server is integrated inside the video server, and the terminal receives the at least one target video from the video server, so that the communication overhead between the positioning server and the video server can be saved.

In step 310, the terminal presents the at least one target video in the map interface.

In the process, the terminal displays the at least one target video in the map interface, and a video playing control can be embedded in the target application, so that the video playing control is called to play any target video in response to the triggering operation of a user on any target video. Or the terminal responds to the triggering operation of the user on any target video, pops up the prompt of switching to the video application, directly switches from the target application to the video application after the user confirms, and automatically plays any target video in the video application.

Fig. 4 is a schematic flowchart of a video recommendation method provided in an embodiment of the present disclosure, please refer to fig. 4, assuming that a target application is a map application, as shown in 401, a positioning server in a map application background sends POI information to a video server of a short video application, as shown in 402, after receiving the POI information, the video server determines a target video list to be recommended, returns the target video list to the positioning server, and the positioning server sends the target video list to a terminal, as shown in 403, the terminal displays the target video list on the map application, and then a user clicks to play a target video.

Fig. 5 is a schematic diagram of a map interface for displaying target videos provided in an embodiment of the present disclosure, please refer to fig. 5, where a map interface 500 includes a map area 501 and an interaction area 502, a location of a terminal is displayed in the map area 501, the interaction area 502 includes a video function option 503, and after a user clicks the video function option 503, the terminal pulls at least one target video and displays the at least one target video.

Fig. 6 is a block diagram illustrating a logical structure of a video recommendation apparatus according to an exemplary embodiment. Referring to fig. 6, the apparatus includes an acquisition unit 601, a filtering unit 602, and a recommendation unit 603.

An acquisition unit 601 configured to perform acquisition of at least one point of interest within a target range of a location where a terminal is located;

a screening unit 602 configured to perform screening on a plurality of original videos based on the at least one interest point, resulting in at least one target video matching the at least one interest point;

a recommending unit 603 configured to perform recommending the at least one target video to the terminal based on the map interface.

According to the device provided by the embodiment of the disclosure, the target video to be recommended is determined based on the POI points in the target range around the position where the terminal is located, and then video recommendation is performed based on the map interface, so that richer and diversified video recommendation modes are provided, the target video which may be interested in the peripheral position can be accurately recommended to the terminal, and the video recommendation accuracy and the human-computer interaction efficiency are greatly improved.

In a possible implementation manner, based on the apparatus composition of fig. 6, the screening unit 602 includes:

and the screening subunit is configured to perform screening to obtain the at least one target video matched with the description information of the at least one interest point from the at least one candidate video.

In a possible embodiment, based on the apparatus composition of fig. 6, the screening subunit includes:

In one possible embodiment, the determining subunit is configured to perform:

In one possible embodiment, the obtaining subunit is configured to perform:

In one possible implementation, the obtaining unit 601 is configured to perform: obtaining the at least one point of interest from a positioning server;

the recommending unit 603 is configured to perform: and sending the at least one target video to the positioning server, and recommending the at least one target video to the terminal by the positioning server based on a map interface.

With regard to the apparatus in the above-mentioned embodiment, the specific manner in which each unit performs operations has been described in detail in the interactive embodiment related to the video recommendation method, and will not be elaborated herein.

Fig. 7 is a block diagram illustrating a logical structure of a video presentation apparatus according to an exemplary embodiment, and referring to fig. 7, the apparatus includes a display unit 701, a transmitting unit 702, and a receiving unit 703.

The display unit 701 is configured to execute displaying of the position of the terminal and video function options in a map interface of the target application;

a sending unit 702 configured to execute sending a video recommendation request in response to a triggering operation on the video function option;

a receiving unit 703 configured to perform receiving at least one target video returned based on the video recommendation request, where the at least one target video matches with at least one interest point in a target range of a location where the terminal is located;

the display unit 701 is further configured to perform presenting the at least one target video in the map interface.

According to the device provided by the embodiment of the disclosure, the target video matched with the POI points in the target range around the position of the terminal is obtained, and the related target video can be browsed directly based on the map interface, so that the video recommendation process has more diversified processing logic, the video recommendation mode is enriched, and the video recommendation accuracy rate and the human-computer interaction efficiency are improved.

Fig. 8 shows a block diagram of a terminal according to an exemplary embodiment of the present disclosure. The terminal 800 is an exemplary illustration of a computer device, and the terminal 800 can 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. The terminal 800 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, etc.

In general, the terminal 800 includes: a processor 801 and a memory 802.

The processor 801 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so forth. The processor 801 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). The processor 801 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 called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 801 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 801 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

Memory 802 may include one or more computer-readable storage media, which may be non-transitory. Memory 802 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 memory 802 is used to store at least one instruction for execution by processor 801 to implement the video recommendation methods provided by various embodiments of the present disclosure.

In some embodiments, the terminal 800 may further include: a peripheral interface 803 and at least one peripheral. The processor 801, memory 802 and peripheral interface 803 may be connected by bus or signal lines. Various peripheral devices may be connected to peripheral interface 803 by a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 804, a touch screen display 805, a camera assembly 806, an audio circuit 807, a positioning assembly 808, and a power supply 809.

The peripheral interface 803 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 801 and the memory 802. In some embodiments, the processor 801, memory 802, and peripheral interface 803 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 801, the memory 802, and the peripheral interface 803 may be implemented on separate chips or circuit boards, which are not limited by this embodiment.

The Radio Frequency circuit 804 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 804 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 804 converts an electrical signal into an electromagnetic signal to be transmitted, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 804 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 804 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation 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 804 may also include NFC (Near Field Communication) related circuits, which are not limited by this disclosure.

The display screen 805 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 805 is a touch display, the display 805 also has the ability to capture touch signals on or above the surface of the display 805. The touch signal may be input to the processor 801 as a control signal for processing. At this point, the display 805 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 805 may be one, providing the front panel of the terminal 800; in other embodiments, the display 805 may be at least two, respectively disposed on different surfaces of the terminal 800 or in a folded design; in still other embodiments, the display 805 may be a flexible display disposed on a curved surface or a folded surface of the terminal 800. Even further, the display 805 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display 805 can be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and other materials.

The camera assembly 806 is used to capture images or video. Optionally, camera assembly 806 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 806 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 circuit 807 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 801 for processing or inputting the electric signals to the radio frequency circuit 804 to realize voice communication. For the purpose of stereo sound collection or noise reduction, a plurality of microphones may be provided at different portions of the terminal 800. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 801 or the radio frequency circuit 804 into sound waves. The loudspeaker can be a traditional film loudspeaker or 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 circuitry 807 may also include a headphone jack.

The positioning component 808 is used to locate the current geographic position of the terminal 800 for navigation or LBS (Location Based Service). The Positioning component 808 may be a Positioning component based on the GPS (Global Positioning System) in the united states, the beidou System in china, the graves System in russia, or the galileo System in the european union.

Power supply 809 is used to provide power to various components in terminal 800. The power supply 809 can be ac, dc, disposable or rechargeable. When the power source 809 comprises a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, terminal 800 also includes one or more sensors 810. The one or more sensors 810 include, but are not limited to: acceleration sensor 811, gyro sensor 812, pressure sensor 813, fingerprint sensor 814, optical sensor 815 and proximity sensor 816.

The acceleration sensor 811 may detect the magnitude of acceleration in three coordinate axes of the coordinate system established with the terminal 800. For example, the acceleration sensor 811 may be used to detect the components of the gravitational acceleration in three coordinate axes. The processor 801 may control the touch screen 805 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 811. The acceleration sensor 811 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 812 may detect a body direction and a rotation angle of the terminal 800, and the gyro sensor 812 may cooperate with the acceleration sensor 811 to acquire a 3D motion of the user with respect to the terminal 800. From the data collected by the gyro sensor 812, the processor 801 may implement the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

Pressure sensors 813 may be disposed on the side bezel of terminal 800 and/or underneath touch display 805. When the pressure sensor 813 is disposed on the side frame of the terminal 800, the holding signal of the user to the terminal 800 can be detected, and the processor 801 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 813. When the pressure sensor 813 is disposed at a lower layer of the touch display screen 805, the processor 801 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 805. 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 814 is used for collecting a fingerprint of the user, and the processor 801 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 814, or the fingerprint sensor 814 identifies the identity of the user according to the collected fingerprint. Upon identifying that the user's identity is a trusted identity, the processor 801 authorizes the user to perform relevant sensitive operations including unlocking a screen, viewing encrypted information, downloading software, paying for and changing settings, etc. Fingerprint sensor 814 may be disposed on the front, back, or side of terminal 800. When a physical button or a vendor Logo is provided on the terminal 800, the fingerprint sensor 814 may be integrated with the physical button or the vendor Logo.

The optical sensor 815 is used to collect the ambient light intensity. In one embodiment, the processor 801 may control the display brightness of the touch screen 805 based on the ambient light intensity collected by the optical sensor 815. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 805 is increased; when the ambient light intensity is low, the display brightness of the touch display 805 is turned down. In another embodiment, the processor 801 may also dynamically adjust the shooting parameters of the camera assembly 806 based on the ambient light intensity collected by the optical sensor 815.

A proximity sensor 816, also known as a distance sensor, is typically provided on the front panel of the terminal 800. The proximity sensor 816 is used to collect the distance between the user and the front surface of the terminal 800. In one embodiment, when the proximity sensor 816 detects that the distance between the user and the front surface of the terminal 800 gradually decreases, the processor 801 controls the touch display 805 to switch from the bright screen state to the dark screen state; when the proximity sensor 816 detects that the distance between the user and the front surface of the terminal 800 becomes gradually larger, the processor 801 controls the touch display 805 to switch from the screen-on state to the screen-on state.

Those skilled in the art will appreciate that the configuration shown in fig. 8 is not intended to be limiting of terminal 800 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

Fig. 9 is a schematic structural diagram of a server 900, which is an exemplary illustration of a computer device, where the server 900 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 901 and one or more memories 902, where the memory 902 stores at least one program code, and the at least one program code is loaded and executed by the processors 901 to implement the video recommendation method provided by the embodiments. Certainly, the server 900 may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input and output, and the server 900 may also include other components for implementing device functions, which are not described herein again.

In an exemplary embodiment, there is also provided a storage medium, such as a memory, including at least one instruction, which is executable by a processor in a terminal to perform the video recommendation method in the above embodiments. Alternatively, the storage medium may be a non-transitory computer-readable storage medium, for example, the non-transitory computer-readable storage medium may include a ROM (Read-Only Memory), a RAM (Random-Access Memory), a CD-ROM (Compact Disc Read-Only Memory), a magnetic tape, a floppy disk, an optical data storage device, and the like.

In an exemplary embodiment, a computer program product is also provided, which includes one or more instructions that can be executed by a processor of a terminal to implement the video recommendation method provided in the above embodiments.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for video recommendation, comprising:

2. The video recommendation method according to claim 1, wherein said filtering a plurality of original videos based on said at least one interest point to obtain at least one target video matching said at least one interest point comprises:

3. The video recommendation method according to claim 2, wherein said filtering out the at least one target video matching the description information of the at least one interest point from the at least one candidate video comprises:

acquiring a content tag of the at least one candidate video;

4. The video recommendation method according to claim 3, wherein determining, as the target video, the candidate video having the similarity greater than the similarity threshold between the content tag and the description information of any one of the interest points comprises:

5. The video recommendation method according to claim 3, wherein determining, as the target video, the candidate video having the similarity greater than the similarity threshold between the content tag and the description information of any one of the interest points comprises:

6. A method for video presentation, comprising:

presenting the at least one target video in the map interface.

7. A video recommendation apparatus, comprising:

8. A video presentation apparatus, comprising:

9. A computer device, comprising:

one or more processors;

wherein the one or more processors are configured to execute the instructions to implement the video recommendation method of any one of claims 1-5; or to implement the video presentation method of claim 6.

10. A storage medium, wherein at least one instruction in the storage medium, when executed by one or more processors of a computer device, enables the computer device to perform the video recommendation method of any one of claims 1-5; or to implement the video presentation method of claim 6.