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» Methods for boosting recommender systems
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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...
KES
2006
Springer
13 years 7 months ago
Testing Online Navigation Recommendations in a Web Site
An online navigation recommendation system provides the prospective web site visitor with a set of pages that could be of his/her interest. Because the recommendations are given du...
Juan D. Velásquez, Vasile Palade
TKDE
2012
236views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
ICWE
2010
Springer
13 years 6 months ago
Automated Generation of Itineraries in Recommender Systems for Tourism
Current recommender systems can support tourists in choosing travel products (accommodation, activities, means of transport, etc.), in planning long trips, and in profitably spendi...
Pierpaolo Di Bitonto, Francesco Di Tria, Maria Lat...
CVPR
2006
IEEE
14 years 9 months ago
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
Activity recognition is an important issue in building intelligent monitoring systems. We address the recognition of multilevel activities in this paper via a conditional Markov r...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, ...