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

6 Citations (Scopus)

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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages353-373
Number of pages21
Volume9049
ISBN (Print)9783319181196
DOIs
StatePublished - 2015
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)03029743
ISSN (Electronic)16113349

Other

Other20th International Conference on Database Systems for Advanced Applications, DASFAA 2015
CountryViet Nam
CityHanoi
Period4/20/154/23/15

Fingerprint

User Profiling
Recommendations
Tagging
Semantics
Customer Relationship Management
Personalized Recommendation
User Profile
Recommender Systems
Recommender systems
Profiling
Sparsity
Social Networks
Redundancy
Marketing
Evaluation
Experiment
Relationships
Experiments

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yang, D., Xiao, Y., Tong, H., Zhang, J., & Wang, W. (2015). An integrated tag recommendation algorithm towards Weibo user profiling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9049, pp. 353-373). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9049). Springer Verlag. https://doi.org/10.1007/978-3-319-18120-2_21

An integrated tag recommendation algorithm towards Weibo user profiling. / Yang, Deqing; Xiao, Yanghua; Tong, Hanghang; Zhang, Junjun; Wang, Wei.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9049 Springer Verlag, 2015. p. 353-373 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9049).

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

Yang, D, Xiao, Y, Tong, H, Zhang, J & Wang, W 2015, An integrated tag recommendation algorithm towards Weibo user profiling. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9049, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9049, Springer Verlag, pp. 353-373, 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015, Hanoi, Viet Nam, 4/20/15. https://doi.org/10.1007/978-3-319-18120-2_21
Yang D, Xiao Y, Tong H, Zhang J, Wang W. An integrated tag recommendation algorithm towards Weibo user profiling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9049. Springer Verlag. 2015. p. 353-373. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-18120-2_21
Yang, Deqing ; Xiao, Yanghua ; Tong, Hanghang ; Zhang, Junjun ; Wang, Wei. / An integrated tag recommendation algorithm towards Weibo user profiling. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9049 Springer Verlag, 2015. pp. 353-373 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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