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» Adapting Recommendations Organization to User Preferences
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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
CHI
2005
ACM
14 years 5 months ago
Context-aware collaborative filtering system: predicting the user's preferences in ubiquitous computing
In this paper I propose a context-aware collaborative filtering system that can predict a user's preference in different context situations based on past user-experiences. Th...
Annie Chen
WWW
2009
ACM
13 years 12 months ago
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
Shilad Sen, Jesse Vig, John Riedl
ACHI
2008
IEEE
13 years 11 months ago
UPOS: User Profile Ontology with Situation-Dependent Preferences Support
—Context-aware adaptive systems aim at automatically personalizing the user’s environment depending on the user’s situation, and hence, minimizing user interaction with the s...
Michael Sutterer, Olaf Droegehorn, Klaus David
ADAPTIVE
2007
Springer
13 years 11 months ago
Recommendation to Groups
Abstract. Recommender systems have traditionally recommended items to individual users, but there has recently been a proliferation of recommenders that address their recommendatio...
Anthony Jameson, Barry Smyth