99 search results - page 8 / 20 » Various aspects of user preference learning and recommender ... |
JCP
2007
13 years 10 months ago
2007
Abstract— The convergence of the wireline telecom, wireless telecom, and internet networks and the services they provide offers tremendous opportunities in services personalizati...
UM
2010
Springer
14 years 2 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 10 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...
DL
2000
Springer
14 years 2 months ago
2000
Springer
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
AAAI
2012
12 years 22 days ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...