论文信息 - The Micro-Blog Information Personalized Recommendation Algorithm Based on Trust Relationship

The Micro-Blog Information Personalized Recommendation Algorithm Based on Trust Relationship

The huge number of users and the rapid growth of mass information flow bring the problem of ‘information overload’. But the current researches mostly concentrate on solving the user recommended problem in the micro-blog user relationship’s network; there isn’t an effective solution for the micro-blog information’s recommendation yet. In order to solve above issues, this paper proposed a micro-blog information personalized recommendation algorithm based on trust relationship, parallelized handling the user relationship’s data and calculating the trust degree butween users, calculating the micro-blog and user‘s topics related degree. In conclusion, this paper conducted TopN reconmendation to the micro-blog information flow. Through the experiment, this algorithmcan solve the ‘information overload’ problem effectly, at the same time improving user’s information acquisition.

Xiang Zhang | Li Li Dong | Wei Qiao

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