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» The Bias Problem and Language Models in Adaptive Filtering
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AAAI
2006
13 years 9 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
JMLR
2010
120views more  JMLR 2010»
13 years 2 months ago
Effective Wrapper-Filter hybridization through GRASP Schemata
Of all of the challenges which face the selection of relevant features for predictive data mining or pattern recognition modeling, the adaptation of computational intelligence tec...
Mohamed Amir Esseghir
WSC
2000
13 years 9 months ago
A comparison of five steady-state truncation heuristics for simulation
We compare the performance of five well-known truncation heuristics for mitigating the effects of initialization bias in the output analysis of steady-state simulations. Two of th...
K. Preston White, Michael J. Cobb, Stephen C. Spra...
UM
2001
Springer
14 years 4 days ago
Designing TV Viewer Stereotypes for an Electronic Program Guide
This paper describes how a user modeling knowledge base for personalized TV servers can be generated starting from an analysis of lifestyles surveys. The aim of the research is the...
Cristina Gena
ICASSP
2011
IEEE
12 years 11 months ago
Rao-Blackwellized particle filter for Gaussian mixture models and application to visual tracking
One of the most important problems in visual tracking is how to incrementally update the appearance model because the appearance of a target object can be easily changed with time...
Jungho Kim, In-So Kweon