Tag recommendation for flickr using web browsing behavior

Authors:
Taiki Takashita;Tsuyoshi Itokawa;Teruaki Kitasuka;Masayoshi Aritsugi
Affiliations:
Computer Science and Electrical Engineering, Graduate School of Science and Technology Kumamoto University, Kumamoto, Japan;Computer Science and Electrical Engineering, Graduate School of Science and Technology Kumamoto University, Kumamoto, Japan;Computer Science and Electrical Engineering, Graduate School of Science and Technology Kumamoto University, Kumamoto, Japan;Computer Science and Electrical Engineering, Graduate School of Science and Technology Kumamoto University, Kumamoto, Japan
Venue:
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part II
Year:
2010

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Abstract

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.