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» Recency-based collaborative filtering
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SIGIR
2010
ACM
14 years 11 days 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...
IMECS
2007
13 years 10 months ago
Investigation for Designing of Context-Aware Recommendation System Using SVM
Abstract Previously, we have proposed two recommendation systems, the Context-aware Information Filtering (C-IF) and Context-aware Collaborative Filtering (C-CF), both of which ar...
Kenta Oku, Shinsuke Nakajima, Jun Miyazaki, Shunsu...
JODS
2006
206views Data Mining» more  JODS 2006»
13 years 8 months ago
Emergent Semantics in Knowledge Sifter: An Evolutionary Search Agent Based on Semantic Web Services
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agen...
Larry Kerschberg, Hanjo Jeong, Wooju Kim
AIR
2005
120views more  AIR 2005»
13 years 8 months ago
Rascal: A Recommender Agent for Agile Reuse
As software organisations mature, their repositories of reusable software components from previous projects will also grow considerably. Remaining conversant with all components in...
Frank McCarey, Mel Ó Cinnéide, Nicho...
KAIS
2011
102views more  KAIS 2011»
13 years 3 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...