Adaptive combination of tag and link-based user similarity in Flickr

Nhat Hai Phan, Van Duc Thong Hoang, Hyoseop Shin

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

7 Scopus citations

Abstract

Finding similar users is one of the probable applications in social media. The similarity between users can be measured in two different approaches: the semantic similarity and the similarity in terms of social relations. These two approaches can be combined with different weight factors. However, the conventional combination scheme has a critical drawback that the weight factors are fixed for every user and thus it is not optimized at those users that are using rare terms or do not have sufficient relations with other users. To address this problem, in this paper, we propose an adaptive combination scheme of tag-based similarity and link-based similarity in which the weight factors are dynamically determined for each user by evaluating each user's characteristics such as tag commonness and link strength. The experimental results with a Flickr data set show that the proposed scheme consistently outperforms the previous work by about 20%.

Original languageEnglish (US)
Title of host publicationMM'10 - Proceedings of the ACM Multimedia 2010 International Conference
Pages675-678
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event18th ACM International Conference on Multimedia ACM Multimedia 2010, MM'10 - Firenze, Italy
Duration: Oct 25 2010Oct 29 2010

Publication series

NameMM'10 - Proceedings of the ACM Multimedia 2010 International Conference

Other

Other18th ACM International Conference on Multimedia ACM Multimedia 2010, MM'10
Country/TerritoryItaly
CityFirenze
Period10/25/1010/29/10

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

Keywords

  • link strength
  • tag commonness
  • user similarity

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