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Sina microblog event recommendation method

A recommendation method and event technology, applied in the field of social network text recommendation, can solve the problems that the research is not deep enough, the research results cannot meet the needs of practical applications, etc., and achieve the effect of reasonable drift

Active Publication Date: 2018-01-09
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

Most of the current recommendation systems are text recommendation systems. The research on the recommendation system of short text data such as microblog is not deep enough, and the research results can not meet the needs of practical applications.

Method used

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  • Sina microblog event recommendation method
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  • Sina microblog event recommendation method

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Embodiment Construction

[0025] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0026] Such as figure 1 Shown is the scheme flow chart of this application, the technical scheme of this application is: Sina Weibo event recommendation method, including:

[0027] S1. Use the improved cosine angle algorithm to calculate the similarity between the user model and the event vector. If the similarity is greater than the threshold, recommend the event to the user; otherwise, it is not recommended;

[0028] S2. Update the user model according to the recommended events arriving in the event database within the latest time length K;

[0029] S3. The user model is updated according to the event of being liked by the user.

[0030] Step S1 is specifically: the classic cosine angle algorithm formula is as follows:

[0031]

[0032] A...

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Abstract

The invention discloses a Sina microblog event recommendation method. For solving the problem of low accuracy of an existing social contact short text recommendation algorithm, the similarity betweena user model and an event vector is calculated through an improved cosine included-angle algorithm. If the similarity is higher than a set threshold value, an event is pushed to a user, and the user model is updated according to the new arrival time within a recent period of time, so that the user model can trace the latest development state of the event. The user model is updated again by combining with a user liking behavior to make a recommendation result better meet user's expectation. By adopting the method, Sina microblog events can be recommended at higher accuracy rate, models can reasonably drift, and timely response to feedbacks of user recommendation results can be made.

Description

technical field [0001] The invention belongs to the field of data mining, in particular to a social network text recommendation technology. Background technique [0002] As a new type of communication media, Weibo has developed rapidly and has the characteristics of fast transmission speed, strong interaction, and convenient information update. It has begun to have a huge impact on social life and has become one of the main social network communication media in my country. Since people can release information to the outside world through various forms such as the web and web pages anytime and anywhere, and realize instant sharing, more and more people like to share information, exchange opinions and express emotions on Weibo. Compared with traditional media, for many major news events, Weibo's easy operation and low threshold determine that Weibo can occupy the commanding heights of information release. This is even more prominent in emergencies, because any Weibo user at t...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 于富财刘东胡光岷费高雷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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