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» On the Consistency of Ranking Algorithms
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WWW
2008
ACM
14 years 8 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
SIGMOD
2006
ACM
138views Database» more  SIGMOD 2006»
14 years 8 months ago
Context-sensitive ranking
The original PageRank algorithm for improving the ranking of search-query results computes a single vector, using the link structure of the Web, to capture the relative "impor...
Rakesh Agrawal, Ralf Rantzau, Evimaria Terzi
CIKM
2008
Springer
13 years 10 months ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...
HIPC
2007
Springer
14 years 2 months ago
Distributed Ranked Search
P2P deployments are a natural infrastructure for building distributed search networks. Proposed systems support locating and retrieving all results, but lack the information necess...
Vijay Gopalakrishnan, Ruggero Morselli, Bobby Bhat...
SIGIR
2006
ACM
14 years 2 months ago
Improving web search ranking by incorporating user behavior information
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into...
Eugene Agichtein, Eric Brill, Susan T. Dumais