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SYRCODIS
2007
124views Database» more  SYRCODIS 2007»
13 years 8 months ago
Recommender System Based on User-generated Content
Recommender systems apply statistical and knowledge discovery techniques to the problem of making recommendations during live user interaction. This paper describes a novel approa...
Denis Turdakov
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 22 days ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
ICCBR
2009
Springer
14 years 2 months ago
Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender
Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help use...
Maria Salamó, Sergio Escalera, Petia Radeva
AOIS
2004
13 years 8 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
FSKD
2006
Springer
187views Fuzzy Logic» more  FSKD 2006»
13 years 11 months ago
A Context-Aware Music Recommendation System Using Fuzzy Bayesian Networks with Utility Theory
As the World Wide Web becomes a large source of digital music, the music recommendation system has got a great demand. There are several music recommendation systems for both comme...
Han-Saem Park, Ji-Oh Yoo, Sung-Bae Cho