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133
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RECSYS
2010
ACM
15 years 1 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
98
Voted
ICDE
2010
IEEE
176views Database» more  ICDE 2010»
15 years 29 days ago
CareDB: A context and preference-aware location-based database system
— In this paper, we aim to realize a context and preference-aware database system, CareDB, that provides scalable personalized location-based services to users based on their pre...
Justin J. Levandoski, Mohamed F. Mokbel
117
Voted
CORR
2008
Springer
133views Education» more  CORR 2008»
15 years 26 days ago
Faceted Ranking of Egos in Collaborative Tagging Systems
Multimedia uploaded content is tagged and recommended by users of collaborative systems, resulting in informal classifications also known as folksonomies. Faceted web ranking has ...
José Ignacio Orlicki, Pablo Ignacio Fierens...
104
Voted
JUCS
2008
200views more  JUCS 2008»
15 years 22 days ago
Tabu Search on GPU
: Nowadays Personal Computers (PCs) are often equipped with powerful, multi-core CPU. However, the processing power of the modern PC does not depend only of the processing power of...
Adam Janiak, Wladyslaw A. Janiak, Maciej Lichtenst...
126
Voted
SIGKDD
2008
138views more  SIGKDD 2008»
15 years 21 days ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl