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IJSTR >> Volume 7 - Issue 8, August 2018 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Search Engine: Simple, Semi And Full Electronic Evaluation

[Full Text]

 

AUTHOR(S)

Dr. kamaran HamaAli.A.Faraj, Dr. Nzar Abdulqader. Ali, Dr. Amin Salah Mohamad, Dashne Raoof

 

KEYWORDS

Search Engine, Simple Search Engine, Semi Search Engine, Full Search Engine

 

ABSTRACT

Search engines are programs that enable a person to find the documentation or media, other means designed to search for information on the World Wide Web. While the internet collection the amount of data the search engine is the most effective way to find your information. In this Working Paper in order to explain the search engine and to provide three types, there is a Simple search engine, Semi search engine and Full (restricted) Search Engine. As a result, containing a full search engine is the best because it exactly gives one record of data after the search.

 

REFERENCES

[1] A. E. Howe and D. Dreilinger, "SAVVYSEARCH: A metasearch engine that learns which search engines to query," Ai Magazine, vol. 18, p. 19, 1997.

[2] S. Gauch, G. Wang, and M. Gomez, "ProFusion*: Intelligent fusion from multiple, distributed search engines," J. UCS, vol. 2, pp. 637-649, 1996.

[3] D. R. Bailey, A. Rajaraman, and T. J. Feldman, "Search engine system and associated content analysis methods for locating web pages with product offerings," ed: Google Patents, 2008.

[4] I. V. Shilov, S. L. Seymour, A. A. Patel, A. Loboda, W. H. Tang, S. P. Keating, et al., "The Paragon Algorithm, a next generation search engine that uses sequence temperature values and feature probabilities to identify peptides from tandem mass spectra," Molecular & Cellular Proteomics, vol. 6, pp. 1638-1655, 2007.

[5] P. L. S. Ie, "Patent Application Publication," 2006.

[6] J. Teevan, C. Alvarado, M. S. Ackerman, and D. R. Karger, "The perfect search engine is not enough: a study of orienteering behavior in directed search," in Proceedings of the SIGCHI conference on Human factors in computing systems, 2004, pp. 415-422.

[7] Z. Zhang and O. Nasraoui, "Mining search engine query logs for query recommendation," in Proceedings of the 15th international conference on World Wide Web, 2006, pp. 1039-1040.

[8] M. Gordon and P. Pathak, "Finding information on the World Wide Web: the retrieval effectiveness of search engines," Information Processing & Management, vol. 35, pp. 141-180, 1999.

[9] L. Finkelstein, E. Gabrilovich, Y. Matias, E. Rivlin, Z. Solan, G. Wolfman, et al., "Placing search in context: The concept revisited," in Proceedings of the 10th international conference on World Wide Web, 2001, pp. 406-414.

[10] C. Camacho, G. Coulouris, V. Avagyan, N. Ma, J. Papadopoulos, K. Bealer, et al., "BLAST+: architecture and applications," BMC bioinformatics, vol. 10, p. 421, 2009.

[11] S. Brin and L. Page, "The anatomy of a large-scale hypertextual web search engine," Computer networks and ISDN systems, vol. 30, pp. 107-117, 1998.

[12] S. B. Boughton, "Search engine marketing," Perspectives in business, vol. 2, pp. 29-33, 2005.

[13] E. Agichtein, E. Brill, and S. Dumais, "Improving web search ranking by incorporating user behavior information," in Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006, pp. 19-26.

[14] Y. Chen, W. Wang, Z. Liu, and X. Lin, "Keyword search on structured and semi-structured data," in Proceedings of the 2009 ACM SIGMOD International Conference on Management of data, 2009, pp. 1005-1010.

[15] R. Baeza-Yates, C. Hurtado, and M. Mendoza, "Query recommendation using query logs in search engines," in International Conference on Extending Database Technology, 2004, pp. 588-596.

[16] K. Purcell, L. Rainie, and J. Brenner, "Search engine use 2012," 2012.

[17] A. Apostu, F. Puican, G. Ularu, G. Suciu, and G. Todoran, "Study on advantages and disadvantages of Cloud Computing–the advantages of Telemetry Applications in the Cloud," Recent Advances in Applied Computer Science and Digital Services, p. 118, 2013.

[18] A. Jain, "The Role and Importance of Search Engine and Search Engine Optimization," International Journal of Emerging Trends & Technology in ComputerScience, vol. 2, pp. 99-102, 2013.

[19] Kamaran Faraj, Gheyath Othman1, and Subhi Zeebaree, “E-Healthcare Systems Performance Analysis based on Multi-Tiered Architecture over Windows and Linux OSs”, Electric Power Energy Research, Vol. 54, No. 2, 2000, pp. 101-111.
[20] Nzar Abdulqader Ali, Payman Othman Rahem, “Improving Spatial neighbor Index Performance Based on Space-Filling Curves”, Kirkuk University journal, Vol 9. No. 2.1., 2014, pp. 73-84.

[21] Kamaran .Faraj, “Automated recruitment system”, Sulamani University, 2010

[22] Abd Albary Sulyman, zeyad T. Sharef, kamaran Hama Ali Faraj, zaid Ahmed Aljawaryy, And fahad Layth Malallah, “Real-Time Numerical 0-5 Counting Based On Hand-Finger Gestures Recognition”, Journal of Theoretical and Applied Information Technology,. Vol.95. No 13.15th July 2017