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» Using Centrality to Rank Web Snippets
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CLEF
2007
Springer
13 years 11 months ago
Using Centrality to Rank Web Snippets
We describe our participation in the WebCLEF 2007 task, targeted at snippet retrieval from web data. Our system ranks snippets based on a simple similarity-based centrality, inspir...
Valentin Jijkoun, Maarten de Rijke
CLEF
2008
Springer
13 years 6 months ago
On the Evaluation of Snippet Selection for WebCLEF
WebCLEF is about supporting a user who is an expert in writing a survey article on a specific topic with a clear goal and audience by generating a ranked list with relevant snippet...
Arnold Overwijk, Dong Nguyen, Claudia Hauff, Dolf ...
SIGIR
2009
ACM
13 years 11 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...
AAAI
2008
13 years 7 months ago
Extracting Relevant Snippets for Web Navigation
Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
Qing Li, K. Selçuk Candan, Qi Yan
PVLDB
2008
156views more  PVLDB 2008»
13 years 4 months ago
eXtract: a snippet generation system for XML search
Snippets are used by almost every text search engine to complement ranking schemes in order to effectively handle user keyword search. Despite the fact that XML is a standard repr...
Yu Huang, Ziyang Liu, Yi Chen