362 search results - page 12 / 73 » Learning preferences of new users in recommender systems: an... |
KDD
2007
ACM
14 years 8 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...
AICT
2006
IEEE
13 years 9 months ago
2006
IEEE
One of the main characteristics of the peer-to-peer systems is the highly dynamic nature of the users present in the system. In such a rapidly changing enviroment, end-user guaran...
ICCBR
2003
Springer
14 years 21 days ago
2003
Springer
In the past conversational recommender systems have adopted a similarity-based approach to recommendation, preferring cases that are similar to some user query or profile. Recent ...
EUSFLAT
2003
13 years 9 months ago
2003
This paper proposes a new novel method for the online construction of a Hierarchical Fuzzy Rule Based System (FRBS) to accurately model a function while retaining a level of human...
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...