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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 10 months 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...
AAAI
2008
14 years 5 days ago
Hierarchical Location and Topic Based Query Expansion
In this paper, we propose a novel approach to expand queries by exploring both location information and topic information of the queries. Users at different locations tend to have...
Shu Huang, Qiankun Zhao, Prasenjit Mitra, C. Lee G...
MIE
2008
131views Healthcare» more  MIE 2008»
13 years 11 months ago
Supervised Approach to Recognize Question Type in a QA System for Health
Many attempts have been made in the QA domain but no system applicable to the field of health is currently available on the Internet. This paper describes a bilingual French/Engli...
Sarah Cruchet, Arnaud Gaudinat, Célia Boyer
KDD
2007
ACM
122views Data Mining» more  KDD 2007»
14 years 10 months ago
Expertise modeling for matching papers with reviewers
An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate seve...
David M. Mimno, Andrew McCallum
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
14 years 1 months ago
The topic-perspective model for social tagging systems
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other g...
Caimei Lu, Xiaohua Hu, Xin Chen, Jung-ran Park, Ti...