49 search results - page 1 / 10 » Regret-based optimal recommendation sets in conversational r... |
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
Current conversational recommender systems are unable to offer guarantees on the quality of their recommendations due to a lack of principled user utility models. We develop an ap...
LWA
2007
13 years 6 months ago
2007
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
ACMICEC
2008
ACM
13 years 6 months ago
2008
ACM
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
AH
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Conversational recommender systems adapt the sets of products they recommend in light of user feedback. Our contribution here is to devise and compare four different mec...
AH
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. W...