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» A Survey of Explanations in Recommender Systems
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SIGIR
2010
ACM
13 years 11 months ago
Temporal diversity in recommender systems
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
Neal Lathia, Stephen Hailes, Licia Capra, Xavier A...
UM
2005
Springer
14 years 26 days ago
An Economic Model of User Rating in an Online Recommender System
Abstract. Economic modeling provides a formal mechanism to understand user incentives and behavior in online systems. In this paper we describe the process of building a parameteri...
F. Maxwell Harper, Sherry Xin Li, Yan Chen, Joseph...
CHI
2008
ACM
14 years 7 months ago
PeerChooser: visual interactive recommendation
Collaborative filtering (CF) has been successfully deployed over the years to compute predictions on items based on a user's correlation with a set of peers. The black-box na...
Barry Smyth, Brynjar Gretarsson, John O'Donovan, S...
HICSS
2009
IEEE
228views Biometrics» more  HICSS 2009»
14 years 2 months ago
Agents of Diffusion - Insights from a Survey of Facebook Users
In times of web 2.0 and its strong focus on user interaction in business models, entrepreneurs and investors of internet businesses often back up their ambitious growth expectatio...
Rebecca Ermecke, Philip Mayrhofer, Stefan Wagner
SIGMOD
2010
ACM
166views Database» more  SIGMOD 2010»
13 years 2 months ago
Search result diversification
Result diversification has recently attracted much attention as a means of increasing user satisfaction in recommender systems and web search. Many different approaches have been ...
Marina Drosou, Evaggelia Pitoura