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Domain Specific Custom Search for Quicker Information Retrieval

Author

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  • Tushar Kanti Saha

    (Department of Computer Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh)

  • A. B. M. Shawkat Ali

    (School of Engineering and Technology, Central Queensland University, North Rockhampton, QLD, Australia & i-LaB Australia, North Sydney, NSW, Australia)

Abstract

Recently researchers are using Google scholar widely to find out the research articles and the relevant experts in their domain. But it is unable to find out all experts in a relevant research area from a specific country by a quick search. Basically the custom search technique is not available in the current Google scholar’s setup. The authors have combined custom search with domain-specific search and named as domain specific custom search in this research. First time this research introduces a domain specific custom search technique using new search methodology called n-paged-m-items partial crawling algorithm. This algorithm is a real-time faster crawling algorithm due to the partial crawling technique. It does not store anything in the database, which can be shown later on to the user. The proposed algorithm is implemented on a new domain scholar.google.com to find out the scholars or experts quickly. Finally the authors observe the better performance of the proposed algorithm comparing with Google scholar.

Suggested Citation

  • Tushar Kanti Saha & A. B. M. Shawkat Ali, 2013. "Domain Specific Custom Search for Quicker Information Retrieval," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 3(3), pages 26-39, July.
    • Handle: RePEc:igg:jirr00:v:3:y:2013:i:3:p:26-39
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