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DATESO
2009
109views Database» more  DATESO 2009»
13 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
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 3 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
SIGKDD
2008
138views more  SIGKDD 2008»
13 years 9 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
CIKM
2008
Springer
13 years 11 months ago
SHOPSMART: product recommendations through technical specifications and user reviews
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
Alexander Yates, James Joseph, Ana-Maria Popescu, ...
WWW
2011
ACM
13 years 4 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee