Web Page Classification Using Image Analysis Features-Reference-Cited by-同舟云学术

Web Page Classification Using Image Analysis Features

Published:2011 Issue: Volume: Page:272-285
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
language:
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Author:

de Boer Viktor,van Someren MaartenW.,Lupascu Tiberiu

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-22810-0_20

Reference16 articles.

1. Amento, B., Terveen, L., Hill, W.: Does ”authority” mean quality? predicting expert quality ratings of web documents. In: Proc. ACM SIGIR 2000, pp. 296–303. ACM, New York (2000)

2. Andrade, L.: The worlds ugliest websites (2009), http://www.nikibrown.com/designoblog/2009/03/03/the-worlds-ugliest-websites/ (retrieved October 2009)

3. van den Berg, T.: Using Color and Composition to Classify Web Pages. Master’s thesis, Universiteit van Amsterdam, the Netherlands (June 2010)

4. 40 most beautiful and inspirational website designs of 2008 (2009), http://www.crazyleafdesign.com/blog/top-40-beautiful-and-inspirational-website-designs-of-2008/ (retrieved October 2009)

5. Ester, M., Kriegel, H.P., Schubert, M.: Web site mining: a new way to spot competitors, customers and suppliers in the world wide web. In: KDD, pp. 249–258. ACM, New York (2002)

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