604 search results - page 15 / 121 » Preference Networks: Probabilistic Models for Recommendation... |
CORR
2010
Springer
13 years 4 months ago
2010
Springer
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...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
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...
UM
2010
Springer
13 years 11 months ago
2010
Springer
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...
CGF
2010
13 years 7 months ago
2010
We present SmallWorlds, a visual interactive graph-based interface that allows users to specify, refine and build item-preference profiles in a variety of domains. The interface f...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
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...