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» Better control on recommender systems
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WECWIS
2006
IEEE
161views ECommerce» more  WECWIS 2006»
13 years 11 months ago
Better control on recommender systems
In the context of electronic commerce, recommender systems enable merchants to assist customers in finding available products that will best satisfy their need. However, a recomm...
Esma Aïmeur, Flavien Serge Mani Onana
ACL
2011
12 years 9 months ago
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
In statistical machine translation, a researcher seeks to determine whether some innovation (e.g., a new feature, model, or inference algorithm) improves translation quality in co...
Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A....
RECSYS
2010
ACM
13 years 5 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
RECSYS
2009
ACM
13 years 12 months ago
Applying relevant set correlation clustering to multi-criteria recommender systems
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N recommendations. With the advent of ecommerce sites th...
Nkechi Nnadi
HICSS
2009
IEEE
155views Biometrics» more  HICSS 2009»
14 years 7 days ago
Collaborative Recommender Systems for Building Automation
Building Automation Systems (BASs) can save building owners money by reducing energy consumption while simultaneously preserving occupant comfort. There are algorithms that optimi...
Michael LeMay, Jason J. Haas, Carl A. Gunter