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SAC
2008
ACM
13 years 6 months ago
Whom should I trust?: the impact of key figures on cold start recommendations
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
Patricia Victor, Chris Cornelis, Ankur Teredesai, ...
INFOCOM
2011
IEEE
12 years 10 months ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
ICCBR
2005
Springer
14 years 28 days ago
Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks
Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items whe...
Conor Hayes, Paolo Avesani, Emiliano Baldo, Padrai...
UMUAI
2010
105views more  UMUAI 2010»
13 years 5 months ago
Towards personality-based user adaptation: psychologically informed stylistic language generation
Conversation is an essential component of social behavior, one of the primary means by which humans express intentions, beliefs, emotions, attitudes and personality. Thus the deve...
François Mairesse, Marilyn A. Walker
NAACL
2010
13 years 5 months ago
Engaging learning groups using Social Interaction Strategies
Conversational Agents have been shown to be effective tutors in a wide range of educational domains. However, these agents are often ignored and abused in collaborative learning s...
Rohit Kumar, Carolyn Penstein Rosé