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CIKM
2010
Springer
15 years 5 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
CIKM
2010
Springer
15 years 5 months ago
Automatically suggesting topics for augmenting text documents
We present a method for automated topic suggestion. Given a plain-text input document, our algorithm produces a ranking of novel topics that could enrich the input document in a m...
Robert West, Doina Precup, Joelle Pineau
194
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CIKM
2010
Springer
15 years 5 months ago
Third workshop on exploiting semantic annotations in information retrieval (ESAIR): CIKM 2010 workshop
There is an increasing amount of structure on the Web as a result of modern Web languages, user tagging and annotation, and emerging robust NLP tools. These meaningful, semantic, ...
Jaap Kamps, Jussi Karlgren, Ralf Schenkel
CIKM
2010
Springer
15 years 5 months ago
Building re-usable dictionary repositories for real-world text mining
Text mining, though still a nascent industry, has been growing quickly along with the awareness of the importance of unstructured data in business analytics, customer retention an...
Shantanu Godbole, Indrajit Bhattacharya, Ajay Gupt...
CIKM
2010
Springer
15 years 5 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...
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