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» Methods for boosting recommender systems
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ANLP
2000
111views more  ANLP 2000»
13 years 9 months ago
Bagging and Boosting a Treebank Parser
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...
John C. Henderson, Eric Brill
ICPR
2004
IEEE
14 years 8 months ago
Boosting Nested Cascade Detector for Multi-View Face Detection
In this paper, a novel nested cascade detector for multi-view face detection is presented. This nested cascade is learned by Schapire and Singer's improved boosting algorithm...
Bo Wu, Chang Huang, Haizhou Ai, Shihong Lao
FLAIRS
2006
13 years 9 months ago
Combining Visualization and Feedback for Eyewear Recommendation
The importance of effective customer assistance technologies is imperative in today's online marketplace where users are oftentimes overwhelmed by the product choices availab...
John Doody, Edwin Costello, Lorraine McGinty, Barr...
ICTAI
2010
IEEE
13 years 5 months ago
Comparing Approaches to Preference Dominance for Conversational Recommenders
A conversational recommender system iteratively shows a small set of options for its user to choose between. In order to select these options, the system may analyze the queries tr...
Walid Trabelsi, Nic Wilson, Derek G. Bridge, Franc...
EMNLP
2006
13 years 9 months ago
Boosting Unsupervised Relation Extraction by Using NER
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
Ronen Feldman, Benjamin Rosenfeld