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CIKM
2009
Springer
15 years 9 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
ISCI
2010
111views more  ISCI 2010»
15 years 25 days ago
Effective vaccination policies
We present a framework for modeling the spread of pathogens throughout a population and generating policies that minimize the impact of those pathogens on the population. This fra...
L. Shaw, W. Spears, L. Billings, P. Maxim
115
Voted
TMI
2002
143views more  TMI 2002»
15 years 2 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 2 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
SEMCO
2007
IEEE
15 years 8 months ago
Integrating Semantic Knowledge into Text Similarity and Information Retrieval
This paper studies the influence of lexical semantic knowledge upon two related tasks: ad-hoc information retrieval and text similarity. For this purpose, we compare the performa...
Christof Müller, Iryna Gurevych, Max Müh...