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CORR
2011
Springer
144views Education» more  CORR 2011»
14 years 1 months ago
Rank Aggregation via Nuclear Norm Minimization
The process of rank aggregation is intimately intertwined with the structure of skew-symmetric matrices. We apply recent advances in the theory and algorithms of matrix completion...
David F. Gleich, Lek-Heng Lim
APWEB
2006
Springer
15 years 1 months ago
LocalRank: A Prototype for Ranking Web Pages with Database Considering Geographical Locality
In this demo, we present a method called LocalRank to rank web pages. Our method integrates the web and a local user database with semantic links including geographical ones. We fi...
Jianwei Zhang 0002, Yoshiharu Ishikawa, Sayumi Kur...
TKDE
2012
236views Formal Methods» more  TKDE 2012»
12 years 11 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
AAAI
2006
14 years 10 months ago
Improved Bounds for Computing Kemeny Rankings
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One voting rule of particular interest is the Kemeny rule, which minimizes the...
Vincent Conitzer, Andrew J. Davenport, Jayant Kala...
ICDE
2008
IEEE
189views Database» more  ICDE 2008»
15 years 3 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...