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EXPERT
2007
111views more  EXPERT 2007»
13 years 5 months ago
New Recommendation Techniques for Multicriteria Rating Systems
Gediminas Adomavicius, YoungOk Kwon
RECSYS
2009
ACM
13 years 11 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
WWW
2008
ACM
14 years 6 months ago
Improving personalized services in mobile commerce by a novel multicriteria rating approach
With the rapid growth of wireless technologies and mobile devices, there is a great demand for personalized services in mcommerce. Collaborative filtering (CF) is one of successfu...
Qiudan Li, Chunheng Wang, Guanggang Geng
TKDE
2012
236views Formal Methods» more  TKDE 2012»
11 years 7 months ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
AH
2004
Springer
13 years 9 months ago
Evaluating Information Filtering Techniques in an Adaptive Recommender System
Abstract. With the huge increase in the volume of information available in digital form and the increasing diversity of Web applications, the need for efficient, reliable, informat...
John O'Donovan, John Dunnion