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» Automatic personalization based on Web usage mining
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KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 8 months ago
Discovering informative content blocks from Web documents
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...
Shian-Hua Lin, Jan-Ming Ho
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 6 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
EMNLP
2010
13 years 5 months ago
A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web
Although many algorithms have been developed to harvest lexical resources, few organize the mined terms into taxonomies. We propose (1) a semi-supervised algorithm that uses a roo...
Zornitsa Kozareva, Eduard H. Hovy
WEBI
2009
Springer
14 years 2 months ago
"All You Can Eat" Ontology-Building: Feeding Wikipedia to Cyc
In order to achieve genuine web intelligence, building some kind of large general machine-readable conceptual scheme (i.e. ontology) seems inescapable. Yet the past 20 years have ...
Samuel Sarjant, Catherine Legg, Michael Robinson, ...
KDD
2007
ACM
122views Data Mining» more  KDD 2007»
14 years 8 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