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WWW
2001
ACM
14 years 8 months ago
Building a Lifestyle Recommender System
Recommender systems are new types of internet-based software tools, designed to help users find their way through today's complex on-line shops and entertainment websites. He...
Supiya Ujjin, Peter J. Bentley
KAIS
2011
102views more  KAIS 2011»
13 years 2 months ago
Symbolic data analysis tools for recommendation systems
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
Byron Leite Dantas Bezerra, Francisco de Assis Ten...
AMM
2011
118views more  AMM 2011»
13 years 2 months 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
SIGIR
2010
ACM
13 years 11 months ago
Temporal diversity in recommender systems
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
Neal Lathia, Stephen Hailes, Licia Capra, Xavier A...
PRICAI
2004
Springer
14 years 27 days ago
A New Collaborative Recommender System Addressing Three Problems
Abstract. With the development of e-commerce and information access, a large amount of information can be found online, which makes a good recommendation service to be urgently nec...
Byeong Man Kim, Qing Li, Jong-Wan Kim, Jinsoo Kim