362 search results - page 29 / 73 » Learning preferences of new users in recommender systems: an... |
ISNN
2010
Springer
14 years 10 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...
IEEEARES
2008
IEEE
14 years 2 months ago
2008
IEEE
Recommender systems enable merchants to assist customers in finding products that best satisfy their needs. Unfortunately, current recommender systems suffer from various privacy...
KI
2002
Springer
13 years 7 months ago
2002
Springer
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
ECMDAFA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Guidelines and consistency rules of UML are used to control the degrees of freedom provided by the language to prevent faults. Guidelines are used in specific domains (e...
SAC
2006
ACM
13 years 7 months ago
2006
ACM
The use of recommender systems in e-commerce to guide customer choices presents a privacy protection problem that is twofold. We seek to protect the privacy interests of customers...