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CEAS
2004
Springer
14 years 23 days ago
Personalised, Collaborative Spam Filtering
The state of the art sees content-based filters tending towards collaborative filters, whereby email is filtered at the MTA with users feeding information back about false posit...
Alan Gray, Mads Haahr
ICDM
2008
IEEE
117views Data Mining» more  ICDM 2008»
14 years 1 months ago
Improving Collaborative Filtering Recommendations Using External Data
This paper describes an approach for incorporating externally specified aggregate ratings information into certain types of collaborative filtering (CF) methods. For a statistic...
Akhmed Umyarov, Alexander Tuzhilin
JOCN
2010
123views more  JOCN 2010»
13 years 2 months ago
Human Brain Dynamics Accompanying Use of Egocentric and Allocentric Reference Frames during Navigation
Maintaining spatial orientation while travelling requires integrating spatial information encountered from an egocentric viewpoint with accumulated information represented within ...
Klaus Gramann, Julie Onton, Davide Riccobon, Herma...
KDD
2009
ACM
298views Data Mining» more  KDD 2009»
14 years 2 months ago
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
Rong Pan, Martin Scholz
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