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157
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CIKM
2008
Springer
15 years 5 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
129
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DAWAK
2008
Springer
15 years 5 months ago
Adapting LDA Model to Discover Author-Topic Relations for Email Analysis
Analyzing the author and topic relations in email corpus is an important issue in both social network analysis and text mining. The AuthorTopic model is a statistical model that id...
Liqiang Geng, Hao Wang, Xin Wang, Larry Korba
128
Voted
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 4 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
108
Voted
KDD
1998
ACM
80views Data Mining» more  KDD 1998»
15 years 8 months ago
Human Performance on Clustering Web Pages: A Preliminary Study
With the increase in information on the World Wide Web it has become difficult to quickly find desired information without using multiple queries or using a topic-specific search ...
Sofus A. Macskassy, Arunava Banerjee, Brian D. Dav...
143
Voted
CIKM
2009
Springer
15 years 7 months ago
Blogger-centric contextual advertising
This paper addresses the concept of Blogger-Centric Contextual Advertising, which refers to the assignment of personal ads to any blog page, chosen in according to bloggers' ...
Teng-Kai Fan, Chia-Hui Chang