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» The Lookahead Principle for Preference Elicitation: Experime...
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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 6 months ago
Turning down the noise in the blogosphere
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos...
BMCBI
2008
100views more  BMCBI 2008»
13 years 5 months ago
Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen p
Background: T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherap...
Guanglan Zhang, Asif M. Khan, Kellathur N. Sriniva...
RECSYS
2009
ACM
13 years 10 months ago
Critiquing recommenders for public taste products
Critiquing-based recommenders do not require users to state all of their preferences upfront or rate a set of previously experienced products. Compared to other types of recommend...
Pearl Pu, Maoan Zhou, Sylvain Castagnos
ICPP
2007
IEEE
14 years 3 days ago
Toward Automatic Data Distribution for Migrating Computations
Program parallelization requires mapping computation and data to processing elements. Navigational Programming (NavP), based on the principle of migrating computations, offers a d...
Lei Pan, Jingling Xue, Ming Kin Lai, Michael B. Di...
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
14 years 6 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu