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» Convergent algorithms for collaborative filtering
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SIGIR
2004
ACM
14 years 25 days ago
A study of methods for normalizing user ratings in collaborative filtering
The goal of collaborative filtering is to make recommendations for a test user by utilizing the rating information of users who share interests similar to the test user. Because r...
Rong Jin, Luo Si
AICS
2009
13 years 5 months ago
Robustness Analysis of Model-Based Collaborative Filtering Systems
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
Zunping Cheng, Neil Hurley
ISCAS
2007
IEEE
371views Hardware» more  ISCAS 2007»
14 years 1 months ago
FIR Filter Approximation by IIR Filters Based on Discrete-Time Vector Fitting
— We present a novel way of approximating FIR filters by IIR structures through generalizing the vector fitting (VF) algorithm, popularly used in continuous-time frequency-doma...
Ngai Wong, Chi-Un Lei
AAAI
2006
13 years 8 months ago
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
AUTOMATICA
2010
134views more  AUTOMATICA 2010»
13 years 7 months ago
Nonlinear filtering in target tracking using cooperative mobile sensors
Collaborative signal processing and sensor deployment have been among the most important research tasks in target tracking using networked sensors. In this paper, the mathematical...
Jiangping Hu, Xiaoming Hu