604 search results - page 18 / 121 » Preference Networks: Probabilistic Models for Recommendation... |
IUI
2003
ACM
14 years 22 days ago
2003
ACM
Current recommender systems, based on collaborative filtering, implement a rather limited model of interaction. These systems intelligently elicit information from a user only dur...
UM
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. We propose an approach for modeling the navigational behavior of Web users based on task-level patterns. The discovered “tasks” are characterized probabilistically as...
ISNN
2010
Springer
14 years 8 days ago
2010
Springer
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
HIS
2004
13 years 9 months ago
2004
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help ...