KCAP
2003
ACM
13 years 9 months ago
2003
ACM
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
IUI
2003
ACM
13 years 9 months ago
2003
ACM
Recommender systems have changed the way people shop online. Recommender systems on wireless mobile devices may have the same impact on the way people shop in stores. We present o...
IUI
2003
ACM
13 years 9 months 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...
CIA
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Many researchers have focused their efforts on developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves per...
PERVASIVE
2005
Springer
13 years 10 months ago
2005
Springer
Recommender systems provide decision aid and information filtering functions that have a great potential application in the mobile context. An aspect which has not been extensive...
GFKL
2005
Springer
13 years 10 months ago
2005
Springer
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
CIKM
2005
Springer
13 years 10 months ago
2005
Springer
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
CCIA
2005
Springer
13 years 10 months ago
2005
Springer
The objective of this paper is two-fold. The first is to develop a methodology capable of extracting the Human Values Scale (HVS) from the user, with reference to his/her objective...
CCIA
2005
Springer
13 years 10 months ago
2005
Springer
Acquiring relevant information to keep user’s preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a s...
AIRS
2005
Springer
13 years 10 months ago
2005
Springer
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...