629 search results - page 41 / 126 » Providing Justifications in Recommender Systems |
AI
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
IUI
2009
ACM
14 years 4 months ago
2009
ACM
Sensemaking tasks require users to perform complex research behaviors to gather and comprehend information from many sources. Such tasks are common and include, for example, resea...
IIR
2010
13 years 9 months ago
2010
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
IUI
2009
ACM
14 years 4 months ago
2009
ACM
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improvi...