362 search results - page 5 / 73 » Learning preferences of new users in recommender systems: an... |
ICDE
2007
IEEE
14 years 1 months ago
2007
IEEE
Emotional context is becoming a promising paradigm to develop more intuitive and sensitive recommender systems. Ambient Recommender Systems, arise from the analysis of new trends ...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
EWCBR
2008
Springer
13 years 9 months ago
2008
Springer
There are case-based recommender systems that generate personalized recommendations for users exploiting the knowledge contained in past recommendation cases. These systems assume ...