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» Unison-CF: A Multiple-Component, Adaptive Collaborative Filt...
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SIGIR
2009
ACM
13 years 11 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
JCDL
2005
ACM
95views Education» more  JCDL 2005»
13 years 10 months 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
CAISE
2006
Springer
13 years 9 months ago
A Personalized and Context-Aware Adaptation Process for Web-Based Groupware Systems
The evolution of mobile technologies, like web-enable cellphones, PDAs and wireless networks, makes it now possible to use these technologies for collaborative work through web-bas...
Manuele Kirsch-Pinheiro, Marlène Villanova-...
AH
2008
Springer
13 years 11 months ago
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
Linas Baltrunas, Francesco Ricci
AMM
2011
118views more  AMM 2011»
13 years 6 days ago
From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering
—The number of resources or items that users can now access when navigating on the Web or using e-services, is so huge that these might feel lost due to the presence of too much ...
Armelle Brun, Sylvain Castagnos, Anne Boyer