Earticle

초록

영어

Recently microblog has become a popular Internet service. Yet, the abundance of micrblog floods users with huge volumes of information and poses a great challenge in terms of information overload. Recommender systems aim to alleviate information overload over microbog users by presenting the most attractive and relevant content. Many recommendation approaches have been proposed by leveraging the social relationships in microblog. To prove the feasibility of users’ social relationships as the bases of recommendation in microblog, we examine the correlations of social relationships and user interest similarities in microblog. Using real-world data set, we find that social relationship indicates positive connection with user interest similarity in microblog, but the positive connection is not strong. We also observe strong positive correlation between reciprocal social relationship and user interest similarity in microblog. As to users’ interaction, we find that the number of interaction between two users in social relation is a strong signal that controls users’ interest similarity. We then apply these findings to recommendation application in microblog to improve the accuracy of recommendation. The experiment on real-world data set shows that our findings are useful for recommendation.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Experiment Analysis on Social Friend Interest Similarity in Microblog
  3.1. Data Set Description
  3.2. Definition of Interest Similarity
  3.3. Social vs. Non-Social Friends
  3.4. Unidirectional vs. Reciprocal Social Relations
  3.5. Number of Interaction
 4. Implication for Item Recommendation in Microblog
 5. Conclusion and Future Work
 References

키워드

저자

• Yan Yu [ Computer Science Department, Southeast University Chengxian College, Nanjing 210088, China ]
• Lingfei Mo [ School of Instrument Science and Engineering, Southeast University, Nanjing 210009, China ]
• Jiasheng Zhou [ Computer Science Department, Southeast University Chengxian College, Nanjing 210088, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605