Earticle

초록

영어

With the development of social network such as microblog, the number of microblog users increases rapidly. The problem of information overload caused by a large amount of data generated by users is becoming more and more serious. In order to mine the messages which specific users are interested in, we measure social relationship and interactive relationship of users respectively in this paper and propose the trust model based on the user’s direct trust and indirect trust. By means of the trust model, we select the specific user’s candidate user set from a large number of users. We measure the content similarity of messages in the candidate user set and propose a message ranking approach based on user trust model and content similarity. We analyze and compare the ranking results with users’ real behavior in microblog platform. The experiment results show that the approach can accurately rank the microblog messages which the specific users are interested in.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Approach for Message Ranking
  3.1. Trust Model based on Direct Trust and Indirect Trust
  3.2 Ranking Approach based on Trust Model and Content Similarity
 4. Experiment
  4.1. Dataset
  4.2. Evaluation Metric
  4.3. Comparison with Other Approaches
 5. Conclusion
 References

키워드

저자

• Bei Li [ Institute of Computer Science and Engineering, Henan University of Urban Construction ]
• Yanjie Liu [ Institute of International Education, Henan University of Urban Construction Pingdingshan, Henan Province, China 467000 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605