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

Li Li Dong; Wei Qiao; Xiang Zhang

doi:10.4028/www.scientific.net/AMM.571-572.267

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The Micro-Blog Information Personalized Recommendation Algorithm Based on Trust Relationship
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 571-572The Micro-Blog Information Personalized...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 571-572)

Pages:

267-272

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.571-572.267

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Online since:

June 2014

Authors:

Li Li Dong, Wei Qiao, Xiang Zhang

Keywords:

Information Overload, Micro-Blog Information Recommendation, Related Degree of Topics, Trust Degree

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