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SYRCODIS
2007
124views Database» more  SYRCODIS 2007»
15 years 7 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
16 years 29 days 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
169
Voted
FSKD
2006
Springer
187views Fuzzy Logic» more  FSKD 2006»
15 years 10 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
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
15 years 11 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
145
Voted
SIGECOM
2006
ACM
96views ECommerce» more  SIGECOM 2006»
16 years 11 days 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