66 search results - page 2 / 14 » Learning recommender systems with adaptive regularization |
ACMICEC
2007
ACM
13 years 8 months ago
2007
ACM
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
ECTEL
2007
Springer
13 years 10 months ago
2007
Springer
INTERSPEECH
2010
12 years 11 months ago
2010
In this paper, we propose a novel speaker adaptation technique, regularized-MLLR, for Computer Assisted Language Learning (CALL) systems. This method uses a linear combination of ...
ENTER
2008
Springer
13 years 6 months ago
2008
Springer
Conversational recommender systems have been introduced in Travel and Tourism applications in order to support interactive dialogues which assist users in acquiring their goals, e...
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...