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» Use of Wikipedia Categories in Entity Ranking
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WWW
2009
ACM
14 years 8 months ago
An axiomatic approach for result diversification
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Sreenivas Gollapudi, Aneesh Sharma
CIKM
2010
Springer
13 years 6 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
WWW
2008
ACM
14 years 8 months ago
Which "Apple" are you talking about ?
In a higher level task such as clustering of web results or word sense disambiguation, knowledge of all possible distinct concepts in which an ambiguous word can be expressed woul...
Mandar Rahurkar, Dan Roth, Thomas S. Huang
CIKM
2010
Springer
13 years 6 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
KDD
2010
ACM
293views Data Mining» more  KDD 2010»
13 years 11 months ago
BioSnowball: automated population of Wikis
Internet users regularly have the need to find biographies and facts of people of interest. Wikipedia has become the first stop for celebrity biographies and facts. However, Wik...
Xiaojiang Liu, Zaiqing Nie, Nenghai Yu, Ji-Rong We...