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CW
2003
IEEE
13 years 10 months ago
Development of a recommendation system with multiple subjective evaluation process models
Current BtoC recommendation services utilize consumers’ purchased log as criteria for selecting information, yet it includes little information of the reason why he bought the i...
Emi Yano, Emi Sueyoshi, Isao Shinohara, Toshikazu ...
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 6 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
LWA
2007
13 years 6 months ago
Towards Learning User-Adaptive State Models in a Conversational Recommender System
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
Tariq Mahmood, Francesco Ricci
RECSYS
2010
ACM
13 years 5 months ago
Interactive recommendations in social endorsement networks
An increasing number of social networking platforms are giving users the option to endorse entities that they find appealing, such as videos, photos, or even other users. We defin...
Theodoros Lappas, Dimitrios Gunopulos
ATAL
2004
Springer
13 years 10 months ago
Social Judgment in Multiagent Interactions
Social judgment is a process of social explanation whereby one identifies which entities deserve credit or blame for multiagent activities. Such explanations are a key aspect of i...
Wenji Mao, Jonathan Gratch