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» Modeling Preferences in a Distributed Recommender System
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CORR
2010
Springer
118views Education» more  CORR 2010»
13 years 4 months ago
Estimating Probabilities in Recommendation Systems
Modeling ranked data is an essential component in a number of important applications including recommendation systems and websearch. In many cases, judges omit preference among un...
Mingxuan Sun, Guy Lebanon, Paul Kidwell
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 7 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
UM
2010
Springer
13 years 11 months ago
Interaction and Personalization of Criteria in Recommender Systems
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
Shawn R. Wolfe, Yi Zhang
CORR
2002
Springer
131views Education» more  CORR 2002»
13 years 7 months ago
A Connection-Centric Survey of Recommender Systems Research
Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences. While research in rec...
Saverio Perugini, Marcos André Gonça...
GI
2005
Springer
14 years 28 days ago
Distributed User Modeling for Situated Interaction
: A distributed service to model and control contextual information in mobile and ubiquitous computing environments is presented in this paper. We introduce the general user model ...
Dominik Heckmann