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Video recommendation system with good recommendation effect

A video recommendation and user technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as poor recommendation effect and poor user experience

Active Publication Date: 2017-11-17
传播大脑科技(浙江)股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the recommendation effect of these two recommendation systems is not good, and the user experience is poor.

Method used

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  • Video recommendation system with good recommendation effect
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Examples

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Embodiment Construction

[0011] The present invention is further described in conjunction with the following examples.

[0012] see figure 1 , a video recommendation system with a good recommendation effect in this embodiment includes an information acquisition module 1, a data storage module 2, a user characteristic analysis module 3, a social network analysis module 4, a video recommendation module 5 and a front-end display module 6. The information acquisition module 1 is used to obtain user personal information and user social network information, the data storage module 2 is used to store the user personal information and user social network information, and the user characteristic analysis module 3 is used to obtain user preferences, The social network analysis module 4 is used to obtain influential network users, the video recommendation module 5 is used for influential network users to recommend videos according to user preferences, and the front-end display module 6 is used to display recomme...

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PUM

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Abstract

The invention provides a video recommendation system with a good recommendation effect. The system comprises an information acquisition module, a data storage module, a user characteristic analysis module, a social network analysis module, a video recommendation module and a front-end display module, wherein the information acquisition module is used for acquiring user personal information and user social network information, the data storage module is used for storing the user personal information and the user social network information, the user characteristic analysis module is used for acquiring fondness of a user, the social network analysis module is used for acquiring an influential network user, the video recommendation module is used for recommending a video to the influential network user according to the fondness of the user, and the front-end display module is used for displaying the recommended video. The system has the advantages that scientific recommendation can be performed according to the fondness of the user, and the recommended video can be displayed to the user.

Description

technical field [0001] The invention relates to the technical field of video recommendation, in particular to a video recommendation system with good recommendation effect. Background technique [0002] Currently, there are mainly two types of video recommendation systems, one is that users actively select the video category they like, and the other is that the network directly recommends videos to users. However, the recommendation effect of these two recommendation systems is not good, and the user experience is poor. Contents of the invention [0003] In view of the above problems, the present invention aims to provide a video recommendation system with good recommendation effect. [0004] The object of the present invention adopts following technical scheme to realize: [0005] A video recommendation system with good recommendation effect is provided, including an information acquisition module, a data storage module, a user characteristic analysis module, a social n...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/735
Inventor 杨林
Owner 传播大脑科技(浙江)股份有限公司