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CIKM
2005
Springer
14 years 27 days ago
Focused crawling for both topical relevance and quality of medical information
Subject-specific search facilities on health sites are usually built using manual inclusion and exclusion rules. These can be expensive to maintain and often provide incomplete c...
Thanh Tin Tang, David Hawking, Nick Craswell, Kath...
CIKM
2007
Springer
14 years 1 months ago
"More like these": growing entity classes from seeds
We present a corpus-based approach to the class expansion task. For a given set of seed entities we use co-occurrence statistics taken from a text collection to define a membersh...
Luís Sarmento, Valentin Jijkoun, Maarten de...
SIGIR
2008
ACM
13 years 7 months ago
Enhancing web search by promoting multiple search engine use
Any given Web search engine may provide higher quality results than others for certain queries. Therefore, it is in users' best interest to utilize multiple search engines. I...
Ryen W. White, Matthew Richardson, Mikhail Bilenko...
SIGIR
2011
ACM
12 years 10 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
WWW
2011
ACM
13 years 2 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...