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» Learning preferences of new users in recommender systems: an...
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HICSS
2007
IEEE
135views Biometrics» more  HICSS 2007»
14 years 1 months ago
Extending the Applicability of Recommender Systems: A Multilayer Framework for Matching Human Resources
Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while th...
Tobias Keim
RECSYS
2009
ACM
14 years 2 months ago
Regret-based optimal recommendation sets in conversational recommender systems
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...
Paolo Viappiani, Craig Boutilier
CCIA
2005
Springer
14 years 1 months ago
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems
Acquiring relevant information to keep user’s preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a s...
Gustavo González, Beatriz López, Cec...
ICMCS
2000
IEEE
145views Multimedia» more  ICMCS 2000»
13 years 12 months ago
Temperament-Based Information Filtering: A Human Factors Approach to Information Recommendation
This paper provides an intelligent multiagent approach to incorporate human temperaments into the filtering process of an information recommendation service. Our approach is to de...
Cha-Hwa Lin, Dennis McLeod
MIR
2010
ACM
264views Multimedia» more  MIR 2010»
14 years 2 months ago
Quest for relevant tags using local interaction networks and visual content
Typical tag recommendation systems for photos shared on social networks such as Flickr, use visual content analysis, collaborative filtering or personalization strategies to prod...
Neela Sawant, Ritendra Datta, Jia Li, James Ze Wan...