Earticle

초록

영어

To deal with the issues like existing common data sparseness in weibo social network and the phenomena of cold start, this paper puts forward a two-stage clustering based on the recommendation algorithm GCCR. The algorithm firstly selects users’ focused nodes which have higher number, so as to extract a dense subset of sparse data, and by using the method of graph paper, similar concerned interested core clustering is formed to this dense subset. Then, it is extracted that weibo content features of seed clustering and the whole data set other users. Then the entire user group is clustered based on content similarity. Finally the clustering results are used in subject recommendation. Through clustering the two phases of dense data subset and the whole data set, the clustering effect of extreme sparse data sets are improved. At the same time, because of fuzziness of graph clustering, this thesis retains a certain diversity in the process of user interest clustering, so as to avoid convergence too fast when cold start. This method is verified through the real social network data, and the experimental results show that this algorithm can effectively solve the problems such as data sparseness and cold start phenomenon.

목차

Abstract
 1. Introduction
 2. GCCR Framework
 3. Two Stages’ Users Clustering Topic Recommendation Algorithm
  3.1. Problem Modeling
  3.2. Core Clustering
  3.3. All User Clustering
  3.4. Recommend Stage
 4. Experiment and Analysis
  4.1. Data Set
  4.2. Recommended Effect
  4.3. Diversity
  4.4. Influence of Various Parameters on the Effect of Recommendation
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Li Pei [ School of Computer Science & Technology, Xi'an University of Posts and Telecommunications, Xi'an, China ]
• Pan Xiaoying [ School of Computer Science & Technology, Xi'an University of Posts and Telecommunications, Xi'an, China ]
• Chen Hao [ School of Computer Science & Technology, Xi'an University of Posts and Telecommunications, Xi'an, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605