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AOIS
2004
14 years 11 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»
15 years 1 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
DATESO
2009
109views Database» more  DATESO 2009»
14 years 7 months ago
Various aspects of user preference learning and recommender systems
In this paper, we describe area of recommender systems, with focus on user preference learning problem. We describe such system and identify some interesting problems. We will comp...
Alan Eckhardt
ICIP
2005
IEEE
15 years 11 months ago
Face and eye rectification in video conference using affine transform
The lack of eye contact in video conference degrades the user's experience. This problem has been known and studied for many years. There are hardware-based solutions to the ...
Ben Yip
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
15 years 3 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