An integrated tag recommendation algorithm towards Weibo user profiling

Deqing Yang, Yanghua Xiao, Hanghang Tong, Junjun Zhang, Wei Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a tag recommendation algorithm for profiling the users in Sina Weibo. Sina Weibo has become the largest and most popular Chinese microblogging system upon which many real applications are deployed such as personalized recommendation, precise marketing, customer relationship management and etc. Although closely related, tagging users bears subtle difference from traditional tagging Web objects due to the complexity and diversity of human characteristics. To this end, we design an integrated recommendation algorithm whose unique feature lies in its comprehensiveness by collectively exploring the social relationships among users, the co-occurrence relationships and semantic relationships between tags. Thanks to deep comprehensiveness, our algorithm works particularly well against the two challenging problems of traditional recommender systems, i.e., data sparsity and semantic redundancy. The extensive evaluation experiments validate our algorithm’s superiority over the state-of-the-art methods in terms of matching performance of the recommended tags. Moreover, our algorithm brings a broader perspective for accurately inferring missing characteristics of user profiles in social networks.

Original languageEnglish (US)
Title of host publicationDatabase Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Proceedings Hanoi, Vietnam, April 20-23, 2015 Proceedings, Part I
EditorsCyrus Shahabi, Muhammad Aamir Cheema, Matthias Renz, Xiaofang Zhou
PublisherSpringer-Verlag Berlin Heidelberg
Pages353-373
Number of pages21
ISBN (Print)9783319181196
DOIs
StatePublished - 2015
Externally publishedYes
Event20th International Conference on Database Systems for Advanced Applications, DASFAA 2015 - Hanoi, Viet Nam
Duration: Apr 20 2015Apr 23 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9049
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Database Systems for Advanced Applications, DASFAA 2015
CountryViet Nam
CityHanoi
Period4/20/154/23/15

Keywords

  • Chinese knowledge graph
  • Tag propagation
  • Tag recommendation
  • User profiling

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Yang, D., Xiao, Y., Tong, H., Zhang, J., & Wang, W. (2015). An integrated tag recommendation algorithm towards Weibo user profiling. In C. Shahabi, M. A. Cheema, M. Renz, & X. Zhou (Eds.), Database Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Proceedings Hanoi, Vietnam, April 20-23, 2015 Proceedings, Part I (pp. 353-373). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9049). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-319-18120-2_21