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» A generative retrieval model for structured documents
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SIGIR
2004
ACM
14 years 29 days ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny
WWW
2004
ACM
14 years 8 months ago
Automatic detection of fragments in dynamically generated web pages
Dividing web pages into fragments has been shown to provide significant benefits for both content generation and caching. In order for a web site to use fragment-based content gen...
Lakshmish Ramaswamy, Arun Iyengar, Ling Liu, Fred ...
BXML
2003
13 years 9 months ago
Rule-Based Generation of XML Schemas from UML Class Diagrams
We present an approach of how to automatically extract an XML document structure from a conceptual data model that describes the content of the document. We use UML class diagrams ...
Tobias Krumbein, Thomas Kudrass
SIGIR
2005
ACM
14 years 1 months ago
Gravitation-based model for information retrieval
This paper proposes GBM (gravitation-based model), a physical model for information retrieval inspired by Newton’s theory of gravitation. A mapping is built in this model from c...
Shuming Shi, Ji-Rong Wen, Qing Yu, Ruihua Song, We...
RIAO
2007
13 years 9 months ago
From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations
Many documents on the Web are formated in a weakly structured format. Because of their weak semantic and because of the heterogeneity of their formats, the information conveyed by...
Guillaume Wisniewski, Patrick Gallinari