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» Methods for boosting recommender systems
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DL
2000
Springer
173views Digital Library» more  DL 2000»
14 years 1 days ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 2 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda
IJCV
2007
113views more  IJCV 2007»
13 years 7 months ago
Boosting Sex Identification Performance
This paper presents a method based on AdaBoost to identify the sex of a person from a low resolution grayscale picture of their face. The method described here is implemented in a...
Shumeet Baluja, Henry A. Rowley
WWW
2005
ACM
14 years 8 months ago
Finding group shilling in recommendation system
In the age of information explosion, recommendation system has been proved effective to cope with information overload in ecommerce area. However, unscrupulous producers shill the...
Xue-Feng Su, Hua-Jun Zeng, Zheng Chen
SIGIR
2005
ACM
14 years 1 months ago
An industrial-strength content-based music recommendation system
We present a metadata free system for the interaction with massive collections of music, the MusicSurfer. MusicSurfer automatically extracts descriptions related to instrumentatio...
Pedro Cano, Markus Koppenberger, Nicolas Wack