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CHI
2005
ACM
14 years 7 months ago
Context-aware collaborative filtering system: predicting the user's preferences in ubiquitous computing
In this paper I propose a context-aware collaborative filtering system that can predict a user's preference in different context situations based on past user-experiences. Th...
Annie Chen
IMECS
2007
13 years 9 months ago
Investigation for Designing of Context-Aware Recommendation System Using SVM
Abstract Previously, we have proposed two recommendation systems, the Context-aware Information Filtering (C-IF) and Context-aware Collaborative Filtering (C-CF), both of which ar...
Kenta Oku, Shinsuke Nakajima, Jun Miyazaki, Shunsu...
ECSCW
2001
13 years 8 months ago
PolyLens: A recommender system for groups of user
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
14 years 23 days ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
ICDM
2010
IEEE
267views Data Mining» more  ICDM 2010»
13 years 5 months ago
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more u...
Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou