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SIGIR
2009
ACM
16 years 1 months ago
Addressing morphological variation in alphabetic languages
The selection of indexing terms for representing documents is a key decision that limits how effective subsequent retrieval can be. Often stemming algorithms are used to normaliz...
Paul McNamee, Charles K. Nicholas, James Mayfield
SIGIR
2009
ACM
16 years 1 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...
CIKM
2007
Springer
16 years 1 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza
CIKM
2007
Springer
16 years 1 months ago
Finding and linking incidents in news
News reports are being produced and disseminated in overwhelming volume, making it difficult to keep up with the newest information. Most previous research in automatic news organ...
Ao Feng, James Allan
CIKM
2007
Springer
16 years 1 months ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang
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