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WWW
2001
ACM
14 years 11 months ago
When experts agree: using non-affiliated experts to rank popular topics
In response to a query a search engine returns a ranked list of documents. If the query is on a popular topic (i.e., it matches many documents) then the returned list is usually t...
Krishna Bharat, George A. Mihaila
ICC
2007
IEEE
111views Communications» more  ICC 2007»
14 years 4 months ago
SecureRank: A Risk-Based Vulnerability Management Scheme for Computing Infrastructures
— In this paper, we introduce a new scheme called SecureRank for prioritizing vulnerabilities to patch in computing systems/networks. This has become a key issue for IT infrastru...
Reiko Ann Miura-Ko, Nicholas Bambos
WWW
2010
ACM
13 years 10 months ago
Classification-enhanced ranking
Many have speculated that classifying web pages can improve a search engine's ranking of results. Intuitively results should be more relevant when they match the class of a q...
Paul N. Bennett, Krysta Marie Svore, Susan T. Duma...
IR
2010
13 years 9 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
ML
2010
ACM
185views Machine Learning» more  ML 2010»
13 years 5 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal