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ICDE
2011
IEEE
225views Database» more  ICDE 2011»
12 years 11 months ago
Methods for boosting recommender systems
—Online shopping has grown rapidly over the past few years. Besides the convenience of shopping directly from ones home, an important advantage of e-commerce is the great variety...
Rubi Boim, Tova Milo
PST
2004
13 years 9 months ago
The Sensitivities of User Profile Information in Music Recommender Systems
Personalized services can cause privacy concerns, due to the acquisition, storage and application of sensitive personal information. This paper describes empirical research into th...
Evelien van de Garde-Perik, Boris E. R. de Ruyter,...
CHI
2008
ACM
14 years 8 months ago
PeerChooser: visual interactive recommendation
Collaborative filtering (CF) has been successfully deployed over the years to compute predictions on items based on a user's correlation with a set of peers. The black-box na...
Barry Smyth, Brynjar Gretarsson, John O'Donovan, S...
CIKM
2010
Springer
13 years 3 months ago
On bootstrapping recommender systems
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...
Nadav Golbandi, Yehuda Koren, Ronny Lempel
HICSS
2006
IEEE
108views Biometrics» more  HICSS 2006»
14 years 2 months ago
Matching People and Jobs: A Bilateral Recommendation Approach
Recommendation systems are widely used on the Internet to assist customers in finding the products or services that best fit with their individual preferences. While current imple...
Jochen Malinowski, Tobias Keim, Oliver Wendt, Tim ...