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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...
CIKM
2010
Springer
13 years 5 months ago
From exploratory search to web search and back
The power of search is with no doubt one of the main aspects for the success of the Web. Currently available search engines on the Web allow to return results with a high precisio...
Roberto Mirizzi, Tommaso Di Noia
ECML
2003
Springer
14 years 26 days ago
Optimising Performance of Competing Search Engines in Heterogeneous Web Environments
Abstract. Distributed heterogeneous search environments are an emerging phenomenon in Web search, in which topic-specific search engines provide search services, and metasearchers...
Rinat Khoussainov, Nicholas Kushmerick
AAAI
2006
13 years 9 months ago
OntoSearch: A Full-Text Search Engine for the Semantic Web
OntoSearch, a full-text search engine that exploits ontological knowledge for document retrieval, is presented in this paper. Different from other ontology based search engines, O...
Xing Jiang, Ah-Hwee Tan
HT
2006
ACM
14 years 1 months ago
Implementation and evaluation of a quality-based search engine
In this paper, an approach for the implementation of a qualitybased Web search engine is proposed. Quality retrieval is introduced and an overview on previous efforts to implement...
Thomas Mandl