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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
SIGMOD
2009
ACM
144views Database» more  SIGMOD 2009»
14 years 8 months ago
Do we mean the same?: disambiguation of extracted keyword queries for database search
Users often try to accumulate information on a topic of interest from multiple information sources. In this case a user's informational need might be expressed in terms of an...
Elena Demidova, Irina Oelze, Peter Fankhauser
CIKM
2009
Springer
14 years 2 months ago
Identifying comparable entities on the web
Web search engines are often presented with user queries that involve comparisons of real-world entities. Thus far, this interaction has typically been captured by users submittin...
Alpa Jain, Patrick Pantel
SAC
2006
ACM
14 years 1 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
JCDL
2010
ACM
154views Education» more  JCDL 2010»
14 years 23 days ago
Transferring structural markup across translations using multilingual alignment and projection
We present here a method for automatically projecting structural information across translations, including canonical citation structure (such as chapters and sections), speaker i...
David Bamman, Alison Babeu, Gregory Crane