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TKDD
2010
121views more  TKDD 2010»
13 years 7 months ago
Factor in the neighbors: Scalable and accurate collaborative filtering
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren
SAC
2005
ACM
14 years 2 months ago
SVD-based collaborative filtering with privacy
Collaborative ļ¬ltering (CF) techniques are becoming increasingly popular with the evolution of the Internet. Such techniques recommend products to customers using similar usersā...
Huseyin Polat, Wenliang Du
GRC
2007
IEEE
13 years 9 months ago
Privacy Preserving Collaborative Filtering Using Data Obfuscation
Collaborative ļ¬ltering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
Rupa Parameswaran, Douglas M. Blough
CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 9 months ago
Slope One Predictors for Online Rating-Based Collaborative Filtering
Rating-based collaborative ļ¬ltering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with pred...
Daniel Lemire, Anna Maclachlan
IRI
2007
IEEE
14 years 3 months ago
Adapting Ratings in Memory-Based Collaborative Filtering using Linear Regression
We show that the standard memory-based collaborative ļ¬ltering rating prediction algorithm using the Pearson correlation can be improved by adapting user ratings using linear reg...
Jérôme Kunegis, Sahin Albayrak