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» Query quality: user ratings and system predictions
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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
ICMLA
2008
13 years 9 months ago
Data Integration for Recommendation Systems
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
Zhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang
DAGSTUHL
2006
13 years 9 months ago
A User-Oriented Approach to Music Information Retrieval
Search and retrieval of specific musical content such as emotive or sonic features has become an important aspect of Music Information Retrieval system development, but only little...
Micheline Lesaffre, Marc Leman, Jean-Pierre Marten...
AOIS
2004
13 years 9 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
ICCHP
2004
Springer
14 years 29 days ago
First User Test Results with the Predictive Typing System FASTY
This paper gives a brief overview about the partially EU funded project IST-2000-25420 FASTY in the IST program. The objective of FASTY was the creation of a system for increasing ...
Christian Beck, Gottfried Seisenbacher, Georg Edel...