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IUI
2009
ACM
14 years 4 months ago
Tagsplanations: explaining recommendations using tags
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improvi...
Jesse Vig, Shilad Sen, John Riedl
RECSYS
2009
ACM
14 years 2 months ago
FriendSensing: recommending friends using mobile phones
We propose FriendSensing, a framework that automatically suggests friends to mobile social-networking users. Using short-range technologies (e.g., Bluetooth) on her mobile phone, ...
Daniele Quercia, Licia Capra
MIR
2010
ACM
176views Multimedia» more  MIR 2010»
14 years 2 months ago
Object-based tag propagation for semi-automatic annotation of images
Over the last few years, social network systems have greatly increased users’ involvement in online content creation and annotation. Since such systems usually need to deal with...
Ivan Ivanov, Peter Vajda, Lutz Goldmann, Jong-Seok...
WWW
2009
ACM
14 years 8 months ago
Tag ranking
Social media sharing web sites like Flickr allow users to annotate images with free tags, which significantly facilitate Web image search and organization. However, the tags assoc...
Dong Liu, Xian-Sheng Hua, Linjun Yang, Meng Wang, ...
SAC
2008
ACM
13 years 7 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...