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» Thesaurus Based Term Ranking for Keyword Extraction
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CIKM
2009
Springer
13 years 5 months ago
Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments
Research on relevance feedback (RFB) in information retrieval (IR) has given mixed results. Success in RFB seems to depend on the searcher's willingness to provide feedback a...
Kalervo Järvelin
JCDL
2011
ACM
218views Education» more  JCDL 2011»
12 years 10 months ago
Retrieving attributes using web tables
In this paper we propose an attribute retrieval approach which extracts and ranks attributes from Web tables. We use simple heuristics to filter out improbable attributes and we ...
Arlind Kopliku, Karen Pinel-Sauvagnat, Mohand Boug...
WWW
2010
ACM
14 years 2 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
SIGIR
2009
ACM
14 years 2 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
IJCAI
2001
13 years 9 months ago
Keyword Spices: A New Method for Building Domain-Specific Web Search Engines
This paper presents a new method for building domain-specific web search engines. Previous methods eliminate irrelevant documents from the pages accessed using heuristics based on...
Satoshi Oyama, Takashi Kokubo, Toru Ishida, Teruhi...