NDLI: Social Photo Tagging Recommendation Using Community-Based Group Associations

Content Provider	IEEE Xplore Digital Library
Author	Chien-Li Chou Yee-Choy Chean Yi-Cheng Chen Hua-Tsung Chen Suh-Yin Lee
Copyright Year	2012
Abstract	In the social network, living photos occupy a large portion of web contents. For sharing a photo with the people appearing in that, users have to manually tag the people with their names, and the social network system links the photo to the people immediately. However, tagging the photos manually is a time-consuming task while people take thousands of photos in their daily life. Therefore, more and more researchers put their eyes on how to recommend tags for a photo. In this paper, our goal is to recommend tags for a query photo with one tagged face. We fuse the results of face recognition and the user¡¦s relationships obtained from social contexts. In addition, the Community-Based Group Associations, called CBGA, is proposed to discover the group associations among users through the community detection. Finally, the experimental evaluations show that the performance of photo tagging recommendation is improved by combining the face recognition and social relationship. Furthermore, the proposed framework achieves the high quality for social photo tagging recommendation.
Starting Page	230
Ending Page	235
File Size	1409650
Page Count	6
File Format	PDF
ISBN	9781467320276
DOI	10.1109/ICMEW.2012.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Training Face recognition Social network services Communities Tagging Social network Photo tagging recommendation Social context Face
Content Type	Text
Resource Type	Article

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