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» Learning to rank on graphs
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SAC
2008
ACM
15 years 5 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
WWW
2009
ACM
16 years 7 months ago
Tag ranking
Social media sharing web sites like Flickr allow users to annotate images with free tags, which significantly facilitate Web image search and organization. However, the tags assoc...
Dong Liu, Xian-Sheng Hua, Linjun Yang, Meng Wang, ...
PVLDB
2010
220views more  PVLDB 2010»
15 years 1 months ago
Fast Incremental and Personalized PageRank
In this paper, we analyze the efficiency of Monte Carlo methods for incremental computation of PageRank, personalized PageRank, and similar random walk based methods (with focus o...
Bahman Bahmani, Abdur Chowdhury, Ashish Goel
ICML
2006
IEEE
16 years 7 months ago
Learning user preferences for sets of objects
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
Marie desJardins, Eric Eaton, Kiri Wagstaff
AAAI
2006
15 years 7 months ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer