Video recommendation method, device, device and storage medium

A video recommendation and video technology, which is applied in the field of big data and data processing, can solve the problems of long development cycle, difficulty in building recommendation models, and inability to use video recommendation technology, so as to ensure diversity and avoid wasting users' time.

Active Publication Date: 2022-07-26
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current short video recommendation technology needs to build a recommendation model in advance, and the recommendation model needs to collect data and train before going online, so it requires a long development cycle
At the same time, the recommendation technology based on the recommendation model is mainly suitable for scenarios where the number of users and resources are relatively sufficient. However, when the number of resources and users included in the video platform are small, it is difficult to establish a complete recommendation model, and the above-mentioned video recommendation technology cannot be used.

Method used

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  • Video recommendation method, device, device and storage medium
  • Video recommendation method, device, device and storage medium
  • Video recommendation method, device, device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0061] figure 1 This is a schematic flowchart of a video recommendation method provided according to the first embodiment of the present application. This embodiment is used for recommending videos to users according to the user's video operation behavior when there are few video resources stored on the video platform. The method can be performed by a video recommendation device, which can be implemented in software and / or hardware, and can be integrated into a video platform (server) to cooperate with a client for providing video playback services. like figure 1 As shown, the video recommendation method provided by this embodiment may include:

[0062] S110. Acquire a target video partition set matching the target user according to the video recommendation request of the target user, and the videos in each video partition are determined by the video operation behavior of the target user.

[0063] In this embodiment, the target user is a user who uses a client provided by th...

no. 2 example

[0101] figure 2 This is a schematic flowchart of a video recommendation method provided according to the second embodiment of the present application. This embodiment is used for recommending videos to users according to their video operation behaviors when the video platform stores few video resources. The method can be performed by a video recommendation device, which can be implemented in software and / or hardware, and can be integrated into a video platform (server) to cooperate with a client for providing video playback services. like figure 2 As shown, the video recommendation method provided by this embodiment may include:

[0102] S210. Acquire a target video partition set matching the target user according to the video recommendation request of the target user, and the videos in each video partition are determined by the video operation behavior of the target user.

[0103] In this embodiment, optionally, all the videos included in the video platform are stored in ...

no. 3 example

[0122] image 3 It is a schematic structural diagram of a video recommendation apparatus provided according to the third embodiment of the present application. The apparatus can execute the video recommendation method provided by the embodiment of the present application, and has functional modules and beneficial effects corresponding to the execution method. like image 3 As shown, the apparatus 300 may include: a target video partition set acquisition module 301, an alternative recommended video set construction module 302, and a video recommendation module 303, wherein:

[0123] The target video partition set acquisition module 301 is configured to acquire a target video partition set matching the target user according to the video recommendation request of the target user, and the videos in each video partition are determined by the video operation behavior of the target user;

[0124] The candidate recommended video set forming module 302 is configured to obtain a set nu...

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Abstract

The present application discloses a video recommendation method, apparatus, device and storage medium, which relate to the field of data processing, and in particular, to the field of big data technology. The specific implementation scheme is: according to the video recommendation request of the target user, obtain the target video partition set matching the target user, and the videos in each video partition are determined by the video operation behavior of the target user; from each video partition in the target video partition set, Obtain a set number of candidate recommended videos respectively to form a candidate recommended video set; de-duplicate the candidate recommended video set according to presentation and / or time factors to obtain a target recommended video set, and according to the target recommended video set, correct the recommended video set. Target users make video recommendations. By maintaining different video partition sets for different users according to the user's video operation behavior, and determining the way of recommending videos from each user's video partition set, it is possible to simply and conveniently recommend personalized video content to users.

Description

technical field [0001] The embodiments of the present application relate to the field of data processing, in particular to the field of big data technologies, and in particular to a video recommendation method, apparatus, device, and storage medium. Background technique [0002] With the continuous development of Internet short video technology, more and more users are watching short videos. [0003] At present, the recommendation technology of short video needs to establish a recommendation model in advance, and the recommendation model needs to collect data and train before going online, so it requires a long development cycle. At the same time, the recommendation technology based on the recommendation model is mainly suitable for scenarios with sufficient users and resources. When the number of resources and users included in the video platform is small, it is difficult to establish a complete recommendation model, and the above video recommendation technology cannot be u...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/25H04N21/466H04N21/482
CPCH04N21/251H04N21/4668H04N21/4662H04N21/4826
Inventor 于明睿
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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