A social and popularity-based tag recommender

  • Modou Gueye
  • , Talel Abdessalem
  • , Hubert Nacke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Tag recommendation aims to recommend to a user the most suited tags for a given item. It is an important functionality of resource sharing systems. In this paper we propose a recommendation algorithm, called Fas Tag, that links the relevance of the tags to both their popularity and the opinions of the user's neighbors. Fas Tag assumes that the users are organized in a weighted graph representing, for instance, the similarity or the trust between them. The two salient aspects of Fas Tag are the scoring function it uses to evaluate the relevance of the tags, and its low computation cost. Thus, Fas Tag can make online recommendations, even for large datasets. Moreover, we improve the accuracy of its recommendations by adjusting automatically the size of the recommended list of tags. The experiments we did on several datasets show a significant improvement of the accuracy of the recommendations.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014
EditorsJinjun Chen, Laurence T. Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages318-325
Number of pages8
ISBN (Electronic)9781479967193
DOIs
Publication statusPublished - 1 Jan 2014
Event4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 - Sydney, Australia
Duration: 3 Dec 20145 Dec 2014

Publication series

NameProceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014

Conference

Conference4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014
Country/TerritoryAustralia
CitySydney
Period3/12/145/12/14

Keywords

  • Accuracy
  • Scalability
  • Social network
  • Tag recommendation

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