Purely URL-based topic classification

WWW'09 - Proceedings of the 18th International World Wide Web Conference

Volumn , Issue , 2009, Pages 1109-1110

  Baykan, Eda ^a   Henzinger, Monika ^a   Marian, Ludmila ^a   Weber, Ingmar ^a  

^a EPFL   (Switzerland)

Author keywords

ODP; Topic classification; URL

Indexed keywords

BINARY CLASSIFIERS; CONTENT FILTERING; F-MEASURE; FOCUSED CRAWLER; HYPERLINKS; LEARNING APPROACH; ODP; OPEN DIRECTORY PROJECTS; SMALL DATA SET; TOPIC CLASSIFICATION; TOPIC IDENTIFICATION; URL;

EXPERIMENTS; HYPERTEXT SYSTEMS; TEACHING;

WEBSITES;

EID: 84865658375     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1526709.1526880     Document Type: Conference Paper

References (7)

1. The 4 universities data set. http://www.cs.cmu.edu/afs/cs.cmu.edu/ project/theo-20/www/data/.
2. Open directory project. http://www.dmoz.org/.
3. E. Baykan, M. Henzinger, and I. Weber. Web page language identification based on urls. In International conference on Very Large Data Bases (VLDB), pages 176-187, 2008.
4. S. Chakrabarti, B. Dom, and P. Indyk. Enhanced hypertext categorization using hyperlinks. In International conference on Management of data (SIGMOD), pages 307-318, 1998.
5. M. Kan and H. O. N. Thi. Fast webpage classification using url features. In International conference on Information and knowledge management (CIKM), pages 325-326, 2005.
6. X. Qi and B. D. Davison. Knowing a web page by the company it keeps. In International conference on Information and knowledge management (CIKM), pages 228-237, 2006.
7. X. Qi and B. D. Davison. Web page classification: Features and algorithms. ACM Computing Surveys, 41, 2009. To appear.