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SYRCODIS
2007
124views Database» more  SYRCODIS 2007»
13 years 10 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
ICCBR
2009
Springer
14 years 3 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
FSKD
2006
Springer
187views Fuzzy Logic» more  FSKD 2006»
14 years 12 days 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
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 2 months 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
SIGECOM
2006
ACM
96views ECommerce» more  SIGECOM 2006»
14 years 2 months ago
Optimal pricing with recommender systems
Abstract We study optimal pricing in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertaint...
Dirk Bergemann, Deran Ozmen