Video recommendation method, device, storage medium and server

A technology of video recommendation and recommendation method, applied in the field of information processing, can solve the problem of inability to recommend personalized videos, and achieve the effect of improving user experience, saving time, and increasing click-through rate

Active Publication Date: 2022-02-01
GUANGZHOU HUYA INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to solve at least one of the above-mentioned technical defects, especially to solve the problem that personalized videos cannot be recommended for different users

Method used

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

Examples

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no. 1 example

[0056] The present invention proposes a video recommendation method to recommend personalized videos to users, such as figure 1 The first shown embodiment comprises the following steps:

[0057] Step S10: Obtain the characteristic value of the target user;

[0058]Step S20: Determine the distance between the target user and each cluster in the clustering model according to the feature value of the target user, and obtain the user category corresponding to the cluster to which the target user belongs;

[0059] Step S30: recommend videos to target users according to the user category.

[0060] Each step is as follows:

[0061] Step S10: Obtain the characteristic value of the target user.

[0062] The feature value of the target user includes the personality feature value in the user information that may be associated with the video content watched by the user, such as: user attribute information, user historical viewing behavior information, and so on. The attribute informat...

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Abstract

The present invention provides a video recommendation method, device, storage medium and server. The video recommendation method includes: obtaining the characteristic value of the target user; determining the target user and each cluster in the clustering model according to the characteristic value of the target user to get the user category corresponding to the cluster to which the target user belongs; according to the user category, recommend videos to the target user. The invention can achieve the purpose of personalized recommendation, improve the click-through rate of recommended videos, and reduce the loss rate of users.

Description

technical field [0001] The invention relates to information processing technology, in particular to a video recommendation method, device, storage medium and server. Background technique [0002] Video is currently a very popular form of entertainment. There are also a large number of videos on video platforms. How to let users quickly find videos they are interested in and how to improve the click-through rate of videos recommended by the system are problems faced by many video platforms. Existing video recommendation methods generally recommend based on rankings or recommend preset programs. These recommendation methods are relatively simple and cannot recommend personalized videos for different users, which is not conducive to improving the click-through rate of recommended videos. Contents of the invention [0003] The present invention aims to solve at least one of the above-mentioned technical defects, especially the problem that personalized videos cannot be recomme...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/735G06K9/62
CPCG06F18/23213
Inventor 冯寿帅曹木水仇贲
Owner GUANGZHOU HUYA INFORMATION TECH CO LTD
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