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CIKM
2001
Springer
14 years 1 months ago
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering
Collaborative filtering uses a database about consumers’ preferences to make personal product recommendations and is achieving widespread success in both E-Commerce and Informat...
Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Krieg...
AIEDU
2004
114views more  AIEDU 2004»
13 years 8 months ago
Collaborative Information Filtering: A Review and an Educational Application
This paper reviews the literature surrounding an information filtering technique, collaborative information filtering, which supports the discovery of resources in a way that is se...
Andrew Walker, Mimi Recker, Kimberly Lawless, Davi...
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 9 months ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
AAAI
2004
13 years 10 months ago
Making Better Recommendations with Online Profiling Agents
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
Danny Oh, Chew Lim Tan