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» Item-based collaborative filtering recommendation algorithms
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ICWS
2009
IEEE
13 years 5 months ago
WSRec: A Collaborative Filtering Based Web Service Recommender System
As the abundance of Web services on the World Wide Web increase, designing effective approaches for Web service selection and recommendation has become more and more important. In...
Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King
WWW
2009
ACM
14 years 2 months ago
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
Shilad Sen, Jesse Vig, John Riedl
CHI
2008
ACM
14 years 7 months ago
PeerChooser: visual interactive recommendation
Collaborative filtering (CF) has been successfully deployed over the years to compute predictions on items based on a user's correlation with a set of peers. The black-box na...
Barry Smyth, Brynjar Gretarsson, John O'Donovan, S...
ECWEB
2011
Springer
233views ECommerce» more  ECWEB 2011»
12 years 7 months ago
Rating Elicitation Strategies for Collaborative Filtering
The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
Mehdi Elahi, Valdemaras Repsys, Francesco Ricci
JCDL
2005
ACM
95views Education» more  JCDL 2005»
14 years 29 days ago
Link prediction approach to collaborative filtering
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...
Zan Huang, Xin Li, Hsinchun Chen