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» Learning block importance models for web pages
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CIKM
2011
Springer
12 years 7 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
WIDM
2004
ACM
14 years 28 days ago
A version model for supporting adaptation of web pages
Maintenance of large Web sites is a complex task, similar in some sense to software maintenance. Content should be separated from the formatting rules, allowing independent develo...
Rodrigo Giacomini Moro, Renata de Matos Galante, C...
ICPR
2010
IEEE
13 years 5 months ago
Enhancing Web Page Classification via Local Co-training
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...
Youtian Du, Xiaohong Guan, Zhongmin Cai
WWW
2009
ACM
14 years 8 months ago
Combining anchor text categorization and graph analysis for paid link detection
In order to artificially boost the rank of commercial pages in search engine results, search engine optimizers pay for links to these pages on other websites. Identifying paid lin...
Kirill Nikolaev, Ekaterina Zudina, Andrey Gorshkov
ACL
2006
13 years 9 months ago
Implementing a Characterization of Genre for Automatic Genre Identification of Web Pages
In this paper, we propose an implementable characterization of genre suitable for automatic genre identification of web pages. This characterization is implemented as an inferenti...
Marina Santini, Richard Power, Roger Evans