99 search results - page 4 / 20 » Various aspects of user preference learning and recommender ... |
ITIIS
2010
13 years 8 months ago
2010
In ubiquitous computing, invisible devices and software are connected to one another to provide convenient services to users [1][2]. Users hope to obtain a personalized service wh...
RECSYS
2009
ACM
14 years 4 months ago
2009
ACM
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
FLAIRS
2010
13 years 11 months ago
2010
Recommender systems (RSs) are popular tools dealing with information overload problems in eCommerce Web sites. RSs match user preferences with item representations and recommend t...
WKDD
2010
CPS
14 years 3 months ago
2010
CPS
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
WECWIS
2006
IEEE
14 years 4 months ago
2006
IEEE
In a service-oriented e-commerce environment, it is a crucial task to help consumers choose desired products efficiently from a huge amount of dynamically configured product can...