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» Accuracy in Rating and Recommending Item Features
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UM
2009
Springer
14 years 2 months ago
What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective
Collaborative filtering (CF) techniques have proved to be a powerful and popular component of modern recommender systems. Common approaches such as user-based and item-based metho...
Rachael Rafter, Michael P. O'Mahony, Neil J. Hurle...
EWMF
2003
Springer
14 years 1 months ago
Semantically Enhanced Collaborative Filtering on the Web
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
Bamshad Mobasher, Xin Jin, Yanzan Zhou
FSS
2008
108views more  FSS 2008»
13 years 8 months ago
A collaborative recommender system based on probabilistic inference from fuzzy observations
The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
Luis M. de Campos, Juan M. Fernández-Luna, ...
SPIRE
2010
Springer
13 years 6 months ago
Fingerprinting Ratings for Collaborative Filtering - Theoretical and Empirical Analysis
Abstract. We consider fingerprinting methods for collaborative filtering (CF) systems. In general, CF systems show their real strength when supplied with enormous data sets. Earl...
Yoram Bachrach, Ralf Herbrich
SIGIR
2008
ACM
13 years 7 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...