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HT
2010
ACM
13 years 8 months ago
Connecting users and items with weighted tags for personalized item recommendations
1 Tags are an important information source in Web 2.0. They can be used to describe users’ topic preferences as well as the content of items to make personalized recommendations....
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xia...
IUI
2009
ACM
14 years 2 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
SG
2009
Springer
14 years 17 days ago
TagClusters: Semantic Aggregation of Collaborative Tags beyond TagClouds
TagClouds is a popular visualization for the collaborative tags. However it has some instinct problems such as linguistic issues, high semantic density and poor understanding of hi...
Ya-Xi Chen, Rodrigo Santamaría, Andreas But...
SEMWEB
2007
Springer
14 years 4 days ago
Extreme Tagging: Emergent Semantics through the Tagging of Tags
While the Semantic Web requires a large amount of structured knowledge (triples) to allow machine reasoning, the acquisition of this knowledge still represents an open issue. Indee...
Vlad Tanasescu, Olga Streibel
SAC
2008
ACM
13 years 5 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...