Tag Recommendation for Flickr Using Web Browsing Behavior

  • Taiki Takashita
  • Tsuyoshi Itokawa
  • Teruaki Kitasuka
  • Masayoshi Aritsugi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6017)


It is fun to share photos with other people easily and effectively. For it, a tag recommendation system for Flickr is developed in this paper. We assume that there are some relations between a photo of which a user attempts to update tags and webpages that the user has browsed. In our system, Web browsing behavior of a user is exploited to suggest not only candidate tags to be added to but also candidate tags to be deleted from a photo in Flickr to the user. We discuss how to implement the system in this paper. We also report some experimental results to show the effectiveness of our system.


Image Annotation Relevancy Score Inverse Document Frequency Mean Reciprocal Rank Multiple Bernoulli Relevance Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Taiki Takashita
    • 1
  • Tsuyoshi Itokawa
    • 1
  • Teruaki Kitasuka
    • 1
  • Masayoshi Aritsugi
    • 1
  1. 1.Computer Science and Electrical EngineeringGraduate School of Science and Technology Kumamoto UniversityKumamotoJapan

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