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» Recency-based collaborative filtering
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KDD
2005
ACM
169views Data Mining» more  KDD 2005»
14 years 7 months ago
Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. These vulnerabilities mostly emanate from the open nature of such systems ...
Bamshad Mobasher, Robin D. Burke, Chad Williams, R...
ECWEB
2000
Springer
142views ECommerce» more  ECWEB 2000»
13 years 11 months ago
Construction of Adaptive Web-Applications from Reusable Components
The Web has become a ubiquitous environment for application delivery. The originally intended idea, as a distributed system for knowledgeinterchange, has given way to organizations...
Guntram Gräf, Martin Gaedke
ECWEB
2007
Springer
162views ECommerce» more  ECWEB 2007»
14 years 1 months ago
Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering
The open nature of collaborative recommender systems present a security problem. Attackers that cannot be readily distinguished from ordinary users may inject biased profiles, deg...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
ICIP
2008
IEEE
14 years 9 months ago
Using a game to evaluate image retrieval, organization, and annotation
Methods of retrieving images that incorporate humangenerated metadata, such as keyword annotation and collaborative filtering, are less vulnerable to the semantic gap than content...
Liam M. Mayron, Oge Marques
HICSS
2009
IEEE
129views Biometrics» more  HICSS 2009»
14 years 2 months ago
Using Collaborative Filtering Algorithms as eLearning Tools
Collaborative information filtering techniques play a key role in many Web 2.0 applications. While they are currently mainly used for business purposes such as product recommendat...
Frank Loll, Niels Pinkwart