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TVCG
2011
100views more  TVCG 2011»
14 years 11 months ago
Tugging Graphs Faster: Efficiently Modifying Path-Preserving Hierarchies for Browsing Paths
—Many graph visualization systems use graph hierarchies to organize a large input graph into logical components. These approaches detect features globally in the data and place t...
Daniel Archambault, Tamara Munzner, David Auber
134
Voted
ECIR
2006
Springer
15 years 6 months ago
Probabilistic Score Normalization for Rank Aggregation
Abstract. Rank aggregation is a pervading operation in IR technology. We hypothesize that the performance of score-based aggregation may be affected by artificial, usually meaningl...
Miriam Fernández, David Vallet, Pablo Caste...
CIKM
2010
Springer
15 years 2 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee
101
Voted
JMLR
2011
106views more  JMLR 2011»
14 years 11 months ago
A Bayesian Approximation Method for Online Ranking
This paper describes a Bayesian approximation method to obtain online ranking algorithms for games with multiple teams and multiple players. Recently for Internet games large onli...
Ruby C. Weng, Chih-Jen Lin
135
Voted
SIGIR
2011
ACM
14 years 7 months ago
Parallel learning to rank for information retrieval
Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficien...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...