Telecommunications Science ›› 2015, Vol. 31 ›› Issue (1): 7-14.doi: 10.11959/j.issn.1000-0801.2015042

• research and development • Previous Articles     Next Articles

Micro-Blog Recommendation Based on User Interests and Recommendation Trust Domain

Yabin Xu1,2,Chao Liu1,Zhuang Wu1   

  1. 1 School of Computer, Beijing Information Science & Technology University, Beijing 100101, China
    2 Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing 100101, China
  • Online:2015-01-15 Published:2017-02-21
  • Supported by:
    The National Natural Science Foundation of China;Beijing Key Laboratory of Internet Culture and Digital Dissemination Research;The Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges Under Beijing Municipality

Abstract:

Recommending micro-blogs to users whom are interested in is an important way to improve the user's experience. In order to make the recommended micro-blog more match user's interests and tastes, a micro-blog recommendation method was proposed. The method considers not only user's own characteristics, but also the evaluation from the user's community. In technology, vector machine(SVM)was supported for text classification to discover user interests, and through multidimensional Newman algorithm to discover user's community. This community will be regarded as the recommendation trust domain. Finally, the improved collaborative filtering algorithm was used. It integrated user's interests and recommendation trust domain to recommend micro-blog, in order to improve the quality of micro-blog recommendation. The experimental results show that, the micro-blog recommendation method is practical and effective.

Key words: micro-blog recommendation, collaborative filtering, recommendation trust domain, user interest discovery

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