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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 3 days ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
SAC
2010
ACM
15 years 5 months ago
Of mice and terms: clustering algorithms on ambiguous terms in folksonomies
Developed using the principles of the Model-View-Controller architectural pattern, FolksEngine is a parametric search engine for folksonomies that allows us to test arbitrary sear...
Nicola Raffaele Di Matteo, Silvio Peroni, Fabio Ta...
SIGIR
2012
ACM
13 years 2 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
83
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WWW
2004
ACM
16 years 11 days ago
Web-scale information extraction in knowitall: (preliminary results)
Manually querying search engines in order to accumulate a large body of factual information is a tedious, error-prone process of piecemeal search. Search engines retrieve and rank...
Oren Etzioni, Michael J. Cafarella, Doug Downey, S...
IHI
2012
291views Healthcare» more  IHI 2012»
13 years 7 months ago
PANI: an interactive data-driven tool for target prioritization in signaling networks
Biological network analysis often aims at the target identification problem, which is to predict which molecule to inhibit (or activate) for a disease treatment to achieve optimu...
Huey-Eng Chua, Sourav S. Bhowmick, Lisa Tucker-Kel...