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KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 6 months ago
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
Vincent Schickel-Zuber, Boi Faltings
IADIS
2008
15 years 7 months ago
Design of Physical Activity Recommendation System
Leisure-time physical activity (LTPA) has been shown to be an effective way of preventing diseases. However 50% of the people who start any type of sports or LTPA drop out of the ...
Ashkan Sami, Ryoichi Nagatomi, Masahiro Terabe, Ka...
IJCAI
2007
15 years 7 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
UMUAI
1998
128views more  UMUAI 1998»
15 years 5 months ago
Using Decision Trees for Agent Modeling: Improving Prediction Performance
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
Bark Cheung Chiu, Geoffrey I. Webb
ICS
2011
Tsinghua U.
14 years 9 months ago
Hystor: making the best use of solid state drives in high performance storage systems
With the fast technical improvement, flash memory based Solid State Drives (SSDs) are becoming an important part of the computer storage hierarchy to significantly improve perfo...
Feng Chen, David A. Koufaty, Xiaodong Zhang