Exploiting link structure for web page genre identification-Reference-Cited by-同舟云学术

Exploiting link structure for web page genre identification

Published:2015-07-07 Issue:3 Volume:30 Page:550-575
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Zhu Jia,Xie Qing,Yu Shoou-I,Wong Wai Hung

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10618-015-0428-8.pdf

Reference42 articles.

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3. Bernhard S, Burges JC, Smola AJ (1998) Advances in kernel methods: support vector learning. The MIT Press, Cambridge

4. Bjroneborn L (2011) Genre connectivity and genre drift in a web of genres. In: Genres on the Web: Computational Models and Empirical Studies, pp. 255–274

5. Boese E, Howe A (2005) Effects of web document evolution on genre classification. In: Proceedings of the ACM 14th Conference on Information and Knowledge Management, pp. 632–639

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