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» Manipulation Robustness of Collaborative Filtering
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RECSYS
2009
ACM
14 years 3 months ago
Rating aggregation in collaborative filtering systems
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
CN
1998
73views more  CN 1998»
13 years 8 months ago
Intermediaries: New Places for Producing and Manipulating Web Content
We propose a new approach to programming web applications that increases the web's computational power, the web's flexibility, and web programmer productivity. Whereas w...
Rob Barrett, Paul P. Maglio
COLCOM
2005
IEEE
14 years 2 months ago
An experimental evaluation of spam filter performance and robustness against attack
— In this paper, we show experimentally that learning filters are able to classify large corpora of spam and legitimate email messages with a high degree of accuracy. The corpor...
Steve Webb, Subramanyam Chitti, Calton Pu
AAAI
2006
13 years 10 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
ICRA
2000
IEEE
96views Robotics» more  ICRA 2000»
14 years 29 days ago
Fault Detection for Robot Manipulators with Parametric Uncertainty: A Prediction Error Based Approach
—In this paper, we introduce a new approach to fault detection for robot manipulators. The technique, which is based on the isolation of fault signatures via filtered torque pred...
Warren E. Dixon, Ian D. Walker, Darren M. Dawson, ...