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129
Voted
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 3 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...
129
Voted
SIGIR
2003
ACM
15 years 8 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
ICADL
2010
Springer
188views Education» more  ICADL 2010»
15 years 8 months ago
A Collaborative Scholarly Annotation System for Dynamic Web Documents - A Literary Case Study
This paper describes ongoing work within the Aus-e-Lit project at the University of Queensland to provide collaborative annotation tools for Australian Literary Scholars. It descri...
Anna Gerber, Andrew Hyland, Jane Hunter
155
Voted
ITS
1992
Springer
152views Multimedia» more  ITS 1992»
15 years 7 months ago
People Power: A Human-Computer Collaborative Learning System
Abstract. This paper reports our research work in the new field of humancomputer collaborative learning (HCCL). The general architecture of an HCCL is defined. An HCCL system, call...
Pierre Dillenbourg, John A. Self
DSOM
2008
Springer
15 years 5 months ago
Trust Management for Host-Based Collaborative Intrusion Detection
The accuracy of detecting an intrusion within a network of intrusion detection systems (IDSes) depends on the efficiency of collaboration between member IDSes. The security itself ...
Carol J. Fung, Olga Baysal, Jie Zhang, Issam Aib, ...