99 search results - page 15 / 20 » Various aspects of user preference learning and recommender ... |
SIGIR
2009
ACM
14 years 4 months ago
2009
ACM
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
ECIS
2003
13 years 11 months ago
2003
Information systems (IS) and software engineering (SE) have shared the domain of systems and software development for several decades with too little overlap in practice and resea...
ICDM
2007
IEEE
14 years 4 months ago
2007
IEEE
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
CBMS
2007
IEEE
14 years 4 months ago
2007
IEEE
This paper describes PATSy, an established interactive case-based system that provides students with access to virtual patients. PATSy has recently been extended by the addition o...
ICALT
2008
IEEE
14 years 4 months ago
2008
IEEE
Research on modelling affect and on interfaces adaptation based on affective factors has matured considerably over the past several years, so that designers of educational product...