Privacy protection method for video recommendation system and video recommendation method

A video recommendation and privacy protection technology, which is applied in the field of video recommendation based on differential privacy, can solve the problems of privacy protection in the recommendation system, achieve good practical effects, and improve the efficiency of recommendation

Active Publication Date: 2017-10-17
ANHUI UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a privacy protection method in a video recommendation system to solve the privacy protection problem in the existing recommendation system

Method used

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  • Privacy protection method for video recommendation system and video recommendation method
  • Privacy protection method for video recommendation system and video recommendation method
  • Privacy protection method for video recommendation system and video recommendation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0063] initialization phase

[0064] Assume that the cloud server has 1,000,000 videos, and each video has a default rating. The default rating here is usually the average rating of the video by netizens. There are 14 categories for all videos, which are r i (i=1,...,14), 1,000,000 videos have been classified, and the same video can belong to multiple categories at the same time.

[0065] User Group Selection Phase

[0066] Assume that the cloud server sets the user group selection time threshold to 1 second, and the number threshold to 10,000. A user group with a group number of 10 starts timing from the first user to initiate a video recommendation request, and finally determines the number of members in the group to be 5000, numbered u i (i=1,...,5000). After determining the members in the group, the cloud server broadcasts the group number 10 to the members in the group.

[0067] User history information extraction stage

[0068] (3.1) Statistical video categories

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Abstract

The invention discloses a privacy protection method for a video recommendation system and a video recommendation method. In the privacy protection method, protection of personal privacy of a user is realized in a video recommendation process based on information anonymization and differential privacy. The method comprises the following steps that: each user requesting for video recommendation needs to generate a user information table, and meanwhile a user is randomly selected from a plurality of users to serve as a user agent; the user agent combines collected anonymized information tables of the users into a recommendation table; the user agent performs differential privacy processing on the recommendation table, and transmits the processed recommendation table to a server side; the server side performs video recommendation by a recommendation algorithm, and returns a recommendation result to the user agent; and lastly, the user agent transmits the recommendation result to the users. Through adoption of the method, the problem that the personal privacies of the users cannot be protected effectively in a conventional recommendation algorithm is solved on the premise of not changing a cloud recommendation algorithm, and meanwhile a high-quality video recommendation service is provided.

Description

technical field [0001] The invention relates to the technical field of network and information security, in particular to a privacy protection method in a video recommendation system and a video recommendation method based on differential privacy. Background technique [0002] With the rapid development of the Internet, more and more people like to browse and publish various video information on the Internet, and the latest survey shows that video information accounts for about 76% of the entire Internet traffic, and this proportion is still increasing. When users browse videos on video sites such as YouTube, iQiyi, and Tencent Video, they also generate a lot of historical information, and video sites use recommendation systems to mine these historical information to provide video recommendation services for users, which not only improves the service quality but also improves the service quality. Increased economic benefits. [0003] On the other hand, with the continuous i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/25H04N21/254H04N21/258H04N21/466
CPCH04N21/252H04N21/2541H04N21/25875H04N21/25891H04N21/4668
Inventor 陈志立王宇仲红张顺
Owner ANHUI UNIVERSITY
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