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KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 5 months ago
Nantonac collaborative filtering: recommendation based on order responses
A recommender system suggests the items expected to be preferred by the users. Recommender systems use collaborative filtering to recommend items by summarizing the preferences of...
Toshihiro Kamishima
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
13 years 9 months ago
Group Recommending: A methodological Approach based on Bayesian Networks
The problem of building Recommender Systems has attracted considerable attention in recent years, but most recommender systems are designed for recommending items for individuals....
Luis M. de Campos, Juan M. Fernández-Luna, ...
WECWIS
2009
IEEE
159views ECommerce» more  WECWIS 2009»
14 years 9 hour ago
Context-Aware Recommendation by Aggregating User Context
— Traditional recommendation approaches do not consider the changes of user preferences according to context. As a result, these approaches consider the user’s overall preferen...
Dongmin Shin, Jae-won Lee, Jongheum Yeon, Sang-goo...
IRAL
2003
ACM
13 years 10 months ago
An approach for combining content-based and collaborative filters
In this work, we apply a clustering technique to integrate the contents of items into the item-based collaborative filtering framework. The group rating information that is obtain...
Qing Li, Byeong Man Kim
SPIRE
2009
Springer
13 years 11 months ago
Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems
Collaborative filtering (CF) shares information between users to provide each with recommendations. Previous work suggests using sketching techniques to handle massive data sets i...
Yoram Bachrach, Ralf Herbrich, Ely Porat