Enhancing the performance of search engines based heap based data file and hash based indexing file

  • Authors

    • Dr Jkr Sastry
    • Chandu Sai Chittibomma
    • Thulasi Manohara Reddy Alla
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10722
  • File Organization, Heap Files, Indexing, Search Engine, Information Retrieval, Snippets, Search Speeds

  • Abstract

    WEB clients use the WEB for searching the content that they are looking for through inputting keywords or snippets as input to the search engines. Search Engines follows a process to collect the content and provide the same as output in terms of URL links. Sometimes enormous time is taken to fetch the content fetched especially when it goes into number of display pages. Locating the content among the number of pages of URLS displayed is complex. Proper indexing method will help in reducing the number of display pages and enhances the seed of processing and result into reducing the size of index space.

    In this paper a non-clustered indexing method based on hash based indexing and when the data is stored as a heap file is presented that helps the entire search process quite fast requiring very less storage area.

     

  • References

    1. [1] Joeran Beel, Bela Gipp, Google Scholar’s Ranking Algorithm: An Introductory Overview International Conference on Scientometrics and Informatics (ISSI’09), volume 1, pages 230– 241, (Brazil), July 2009.

      [2] P. R. Chinagongjun, Analysis the idea of personalized search engine based on user behavior International Conference on Com-puter Application and System Modeling (ICCASM 2010).

      [3] Zhang Feng and LiXia-Long, Research in Automatic Search Engine Replacement Algorithm For Web Caching Based on User Behaviour, International conference on WEB information systems and applications, 2010, pp. 142-145.

      [4] BidishaRoy, Joy Machado, Melicia raj, Gnana Sonica Nadar, Exploiting Web Search to Access IEEE papers, International Journal of Computer Applications, (IJCA), 2012.

      [5] Saravankumar S, Ramanath K, Ranjitha R, Ghokul V G, A new methodology for search engine optimization without getting sand boxed, International journal of advanced research in comput-er and communication engineering, Vol. 1, Iss. 7, 2012.

      [6] JOHN B. KILLORAN, How to Use Search Engine Optimiza-tion Techniques to Increase Website Visibility IEEE transactions on professional communication, VOL. 56, NO. 1, 2013.

      [7] Jayasree M, Analyzing and Classifying User Search Histories for Web Search Engine Optimization International Conference on Eco-friendly Computing and Communication Systems-IEEE DOI 10.1109/ICECCS.2014.19, 2014.

      [8] Roop Kaur, Development of a Ranking Algorithm for Search Engine Optimization, International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 IJERTV3IS041023Vol. 3 Issue 4, April – 2014.

      [9] Shogo Kori, Yanjun Zhu, Koichi Yamaguchi, Satoru Takigu-chi, Yasufumi Takama, Analysis of User's Behaviour Based on Search Intentions for Information Retrieval Using Search Engines, TAAI2015 Tainan, Taiwan Nov. 20-22, 2015.

      [10] Ekta Bhardwaj1, Shiv Kumar2, Kuldeep Tomar3, Enhancing Page Rank Algorithm, International Journal on Recent and Inno-vation Trends in Computing and Communication, Volume: 3 Is-sue: 5, 2015.

      [11] Rekha Singhal , Enhancing the Page Ranking for Search Engine Optimization Based on Weightage of In-Linked Web Pag-es IEEE International Conference on Recent Advances and Inno-vations in Engineering (ICRAIE-2016), December 23-25, 2016.

      [12] Pedro A´ lvarez, Analysis of users’ behavior in structure de-commerce websites, IEEE, DOI 10.1109/ACCESS-2017.

      Dukagjin Sadrijaj Investigating Search Engine Optimization Techniques for Effective Ranking: A Case Study of an Education-al Site, Mediterranean conference on embedded computing (MECO), 11-15 JUNE 2017

  • Downloads

  • How to Cite

    Jkr Sastry, D., Sai Chittibomma, C., & Manohara Reddy Alla, T. (2018). Enhancing the performance of search engines based heap based data file and hash based indexing file. International Journal of Engineering & Technology, 7(2.7), 372-375. https://doi.org/10.14419/ijet.v7i2.7.10722

    Received date: 2018-03-27

    Accepted date: 2018-03-27

    Published date: 2018-03-18