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» Methods for comparing rankings of search engine results
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ECML
2006
Springer
14 years 2 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
WWW
2007
ACM
14 years 11 months ago
How NAGA uncoils: searching with entities and relations
Current keyword-oriented search engines for the World Wide Web do not allow specifying the semantics of queries. We address this limitation with NAGA1 , a new semantic search engi...
Gjergji Kasneci, Fabian M. Suchanek, Maya Ramanath...
ICDCIT
2005
Springer
14 years 4 months ago
FlexiRank: An Algorithm Offering Flexibility and Accuracy for Ranking the Web Pages
The existing search engines sometimes give unsatisfactory search result for lack of any categorization. If there is some means to know the preference of user about the search resul...
Debajyoti Mukhopadhyay, Pradipta Biswas
DKE
2007
111views more  DKE 2007»
13 years 10 months ago
Category ranking for personalized search
Despite the effectiveness of search engines, the persistently increasing amount of web data continuously obscures the search task. Efforts have thus concentrated on personalized...
Christos Makris, Yannis Panagis, Evangelos Sakkopo...
ICSM
2005
IEEE
14 years 4 months ago
IRiSS - A Source Code Exploration Tool
IRiSS (Information Retrieval based Software Search) is a software exploration tool that uses an indexing engine based on an information retrieval method. IRiSS is implemented as a...
Denys Poshyvanyk, Andrian Marcus, Yubo Dong, Andre...