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» On bootstrapping recommender systems
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SIGIR
2010
ACM
14 years 10 days ago
Temporal diversity in recommender systems
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
Neal Lathia, Stephen Hailes, Licia Capra, Xavier A...
ESWA
2002
134views more  ESWA 2002»
13 years 8 months ago
A personalized recommender system based on web usage mining and decision tree induction
A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been...
Yoon Ho Cho, Jae Kyeong Kim, Soung Hie Kim
ICMLA
2008
13 years 10 months ago
Multi-stage Learning of Linear Algebra Algorithms
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
Victor Eijkhout, Erika Fuentes
SIAMSC
2011
148views more  SIAMSC 2011»
13 years 2 months ago
Bootstrap AMG
We develop an algebraic multigrid (AMG) setup scheme based on the bootstrap framework for multiscale scientific computation. Our approach uses a weighted least squares definition...
Achi Brandt, James J. Brannick, K. Kahl, Irene Liv...
PERVASIVE
2005
Springer
14 years 1 months ago
Product Reviews in Mobile Decision Aid Systems
Recommender systems provide decision aid and information filtering functions that have a great potential application in the mobile context. An aspect which has not been extensive...
René T. A. Wietsma, Francesco Ricci