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» The Continuous Cold-start Problem in e-Commerce Recommender ...
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COLING
2010
13 years 1 months ago
Contextual Recommendation based on Text Mining
The potential benefit of integrating contextual information for recommendation has received much research attention recently, especially with the ever-increasing interest in mobil...
Yize Li, Jiazhong Nie, Yi Zhang, Bingqing Wang, Ba...
FLAIRS
2010
13 years 7 months ago
Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems
Recommender systems (RSs) are popular tools dealing with information overload problems in eCommerce Web sites. RSs match user preferences with item representations and recommend t...
Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L...
ECWEB
2010
Springer
195views ECommerce» more  ECWEB 2010»
13 years 7 months ago
Comparing Techniques for Preference Relaxation: A Decision Theory Perspective
This research proposes a decision aid based on a novel type of preference relaxation, which enables consumers to easily make quality choices in online multiattribute choice scenari...
Maciej Dabrowski, Thomas Acton
CIKM
2009
Springer
14 years 25 days ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu
DEBU
2008
165views more  DEBU 2008»
13 years 6 months ago
A Survey of Attack-Resistant Collaborative Filtering Algorithms
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
Bhaskar Mehta, Thomas Hofmann