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ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
14 years 7 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
CHI
2007
ACM
15 years 10 months ago
Recommendations on recommendations
This interactive session discusses the quality of recommendations for improving a user interface resulting from a usability evaluation. Problems with the quality of recommendation...
Josephine Scott, Kasper Hornbæk, Rolf Molich
GROUP
2010
ACM
14 years 7 months ago
The effects of group composition on decision quality in a social production community
Online social production communities allow efficient construction of valuable and high-quality information sources. To be successful, community members must be effective at collab...
Shyong K. Lam, Jawed Karim, John Riedl
VLDB
2002
ACM
193views Database» more  VLDB 2002»
14 years 9 months ago
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Dan Cosley, Steve Lawrence, David M. Pennock
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
15 years 10 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini