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Multi-user-based video recommendation method and device

A video recommendation and multi-user technology, applied in the field of multi-user-based video recommendation method and device, can solve the problems of inaccurate video recommendation and low confidence of recommendation results, and achieve the effect of solving inaccurate video recommendation

Active Publication Date: 2022-04-19
DATAGRAND TECH INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a multi-user-based video recommendation method and device to solve the problem of inaccurate video recommendation caused by multiple users in the TV scene, and the existing recommendation method only calculates positive feedback such as clicks data, resulting in the problem of low confidence in the recommendation results

Method used

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  • Multi-user-based video recommendation method and device
  • Multi-user-based video recommendation method and device
  • Multi-user-based video recommendation method and device

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Embodiment Construction

[0030] In order to enable those in the technical field to better understand the present application scheme, the following will be combined with the accompanying drawings in the embodiment of the present application, the technical solution in the embodiment of the present application is clearly and completely described, obviously, the embodiment described is only a part of the embodiment of the present application, not the entire embodiment. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without doing creative work should fall within the scope of protection of this application.

[0031] It should be noted that, in the absence of conflict, the embodiments in the present application and the features in the embodiments may be combined with each other. The present application will be described below with reference to the accompanying drawings and in conjunction with embodiments.

[0032] as Figure 1 As shown, o...

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PUM

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Abstract

The present application discloses a multi-user-based video recommendation method and device. The video recommendation method includes: obtaining video click data of each user; calculating a video co-occurrence matrix of each user according to the video click data; calculating a video correlation matrix according to the video co-occurrence matrix of each user; The video affinity matrix generates a set of recommended video candidates for each video. The video recommendation device includes a data acquisition module, a co-occurrence matrix generation module, an association matrix generation module, a candidate set generation module, and a correction module. This application solves the problem of inaccurate video recommendation caused by multiple users in the TV scene, and the problem of low confidence in recommendation results caused by only calculating positive feedback data such as clicks in existing recommendation methods.

Description

Technical field [0001] The present application relates to a video recommendation method, specifically, a video recommendation method and apparatus based on a multi-user basis. Background [0002] With the development of the Internet, smart TVs have come into being in line with the trend of "high definition", "networking" and "intelligence" of television sets, and have become the third type of information access terminal after computers and mobile phones. Thanks to the fully open platform, unlimited applications will bring unlimited content. The ever-increasing abundance of media content has brought inconvenience to home users to find content of interest. Therefore, a personalized recommendation system based on smart TV is very necessary, which can find the videos that users are interested in from hundreds of millions of video pools according to the needs and interests of users. A good recommendation system can not only provide users with personalized services, but also establish...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/735
Inventor 郝俊禹文辉纪达麒陈运文
Owner DATAGRAND TECH INC
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