Semantic Recognition of Web Structure to Retrieve Relevant Documents from Google by Formulating Index Term-Reference-Cited by-同舟云学术

Semantic Recognition of Web Structure to Retrieve Relevant Documents from Google by Formulating Index Term

Published:2019 Issue: Volume: Page:497-509
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Ara Jinat,Bhuiyan Hanif

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-6861-5_43

Reference18 articles.

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3. Speretta, M., Gauch, S.: Personalized search based on user search histories. In: Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 622–628. IEEE Computer Society (2005)

4. Lieberman, M. D., Samet, H., Sankaranarayanan, J., Sperling, J.: STEWARD: architecture of a spatio-textual search engine. In: Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems, p. 25. ACM (2007)

5. Barroso, L.A., Dean, J., Holzle, U.: Web search for a planet: the Google cluster architecture. IEEE Micro. 2, 22–28 (2003)

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