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Reseach Article

Development of Semantic, Query and Location based Personalized Web Search

Published on September 2016 by A. Smilien Rophie, A. Anitha
National Conference on lnnovation in Computing and Communication Technology
Foundation of Computer Science USA
NCICCT2016 - Number 1
September 2016
Authors: A. Smilien Rophie, A. Anitha
b8681f3e-e271-4508-b7b4-59110fd899a0

A. Smilien Rophie, A. Anitha . Development of Semantic, Query and Location based Personalized Web Search. National Conference on lnnovation in Computing and Communication Technology. NCICCT2016, 1 (September 2016), 1-4.

@article{
author = { A. Smilien Rophie, A. Anitha },
title = { Development of Semantic, Query and Location based Personalized Web Search },
journal = { National Conference on lnnovation in Computing and Communication Technology },
issue_date = { September 2016 },
volume = { NCICCT2016 },
number = { 1 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ncicct2016/number1/25861-2015/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on lnnovation in Computing and Communication Technology
%A A. Smilien Rophie
%A A. Anitha
%T Development of Semantic, Query and Location based Personalized Web Search
%J National Conference on lnnovation in Computing and Communication Technology
%@ 0975-8887
%V NCICCT2016
%N 1
%P 1-4
%D 2016
%I International Journal of Computer Applications
Abstract

To find any information within a fraction of second by using search engines. But it returns irrelevant information also. At that time, Personalization technique can be used. Personalization means based upon the individual's interests, the internet provides relevant information beyond specific query. In the proposed system, there are three various kinds of search can be personalized. Semantic search used to find the keywords and also find related meaning. Query based search used to get back the related documents according to their individual needs. Location based search used to fetch the place, location related information by replacing the map concepts. It is generally used for uneducated people. This framework gives optimal search results for technically lagging people based on their self interests. Greedy algorithms mainly for the purpose of runtime princilpe such as GreedyDP and GreedyIL. The outcome of this proposed work get better search quality, reducing the cost, efficient retrieval and increases the search accuracy.

References
  1. Aruna V. , Palanivel K. , "A Privacy-Preserving Personalized Web Search(PWS) Framework UPS," Global Journal of Advanced Engineering Technologies, Vol. 3, 2014.
  2. Castella Roca J. , Viejo A. and Herrera Joancomarti J. , "Preserving User's Privacy in Web Search Engines," Computer Comm. , Vol. 32, No. 13-14, pp. 1541-1551, 2009.
  3. Chirita P. A. , Nejdl W. , Paiu R. and Kohlschutter C. , "Using ODP Metadata to Personalize Search," Proc. 28th Ann. Int'l ACM SIGIR Conf. Research and Development Information Retrieval (SIGIR), 2005.
  4. Dou Z. , Song R. and Wen J. R. , "'A Large-Scale Evaluation and Analysis of Personalized Search Strategies," Proc. Int'l Conf. World Wide Web (WWW), pp. 581-590, 2007.
  5. Madhu G. and Govardhan A. and Rajinikanth T. V. , "Intelligent Semantic Web Search Engines: A Brief Survey," International journal of Web & Semantic Technology (IJWesT) Vol. 2, No. 1, 2011.
  6. Priyanka Z. and Todmal S. R. , "Privacy Protection Using CPS Framework in Personalized Web Search," International Journal for Research in Applied Science & Engineering Technology (IJRASET), Vol. 2, pp. 181-184, 2014.
  7. Qiu F. and Cho J. , "Automatic Identification of User Interest for Personalized Search," Proc. 15th Int'l Conf. World Wide Web (WWW), pp. 727-736, 2006.
  8. Radhika M. and Vijaya Chamundeeswari V. , "Privacy Protection In Personalized Web Search Using Generalized Profile," ARPN Journal of Engineering and Applied Sciences, Vol. 10, No. 7, pp. 4-17, 2015.
  9. Ramya V. and Gowthami S. , "Enhance Privacy Search In Web Search Engine Using Greedy Algorithm," International Journal of Scientific Research Engineering & Technology (IJSRET), 2014.
  10. Sai Kumar V. , Pavan Kumar P. N. V. S. , "A UPS Framework for Providing Privacy Protection in Personalized Web Search" International Journal of Innovative Research in Science, Engineering and Technology Vol. 4, 2015.
  11. Shen X. , Tan B. and Zhai C. , "Implicit User Modeling for Personalized Search," Proc. 14th ACM Int'l Conf. Information and Knowledge Management (CIKM), 2005.
  12. Shen X. , Tan B. and Zhai C. , "Privacy Protection in Personalized Search," SIGIR Forum, Vol. 41, No. 1, pp. 4-17, 2007.
  13. Shou L. , Bai H. , Chen K. , and Chen G. , "Supporting Privacy Protection in Personalized Web Search," IEEE Transactions On Knowledge And Data Engineering, Vol. 26, No. 2, 2014.
  14. Srivastava J. , Cooley R. , Deshpande M. and Tan P. N. , "Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data," SIGKDD Explorations, Vol. 1, pp. 12-17, 2006.
  15. Teevan J. , Dumais S. T. and Horvitz E. , "Personalizing Search via Automated Analysis of Interests and Activities," Proc. 28th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR), pp. 449-456, 2005.
  16. Teevan V. , Dumais S. T. and Liebling D. J. , "To Personalize or Not to Personalize: Modeling Queries with Variation in User Intent," Proc. 31st Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR), pp. 163-170, 2008.
  17. Viejo A. and Castella-Roca J. , "Using Social Networks to Distort Users' Profiles Generated by Web Search Engines," Computer Networks, Vol. 54, No. 9, pp. 1343-1357, 2010.
  18. Xiao X. and Tao Y. , "Personalized Privacy Preservation," Proc. ACM SIGMOD Int'l Conf. Management of Data (SIGMOD), 2006.
  19. Xu Y. , Wang K. , Zhang B. and Chen Z. , "Privacy-Enhancing Personalized Web Search," Proc. 16th Int'l Conf. World Wide Web (WWW), pp. 591-600, 2007.
  20. Xu Y. , Wang K. , Yang G. and Fu A. W. C. , "Online Anonymity for Personalized Web Services," Proc. 18th ACM Conf. Information and Knowledge Management (CIKM), pp. 1497-1500, 2009.
  21. Yuan X. , Song R. , Wen J. R. and Dou Z. , "Evaluating the Effectiveness of Personalized Web Search," IEEE Transactions On Knowledge And Data Engineering, Vol. 21, No. 8, pp. 1178-1190, 2009.
  22. Zhu Y. , Xiong L. and Verdery C. , "Anonymizing User Profiles for Personalized Web Search," Proc. 19th Int'l Conf. World Wide Web (WWW), pp. 1225-1226, 2010.
  23. Jaideep S. , Cooley R. , Deshpande M. and Tan P. N. , "Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data," SIGKDD Explorations, Vol. 1, pp. 12-17, 2006.
  24. J Vellingiri, S. Chenthur Pandian, "A Survey on Web Usage Mining," Global Journal of Computer Science and Technology, Vol. 11, Issue 4 , March 2011.
  25. Priyanka C. Ghegade, Prof. Vinod Wadane, "A Survey of Personalized Web Search in Current Techniques," International Journal of Computer Science and Information Technologies, Vol. 5 (6) , 2014.
  26. Manav Singhal, Anupam Shukla, "Implementation of Location based Services in Android using GPS and Web Services," IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No. 2, January 2012
  27. Soni Kamuni, Suhas Raut, "Location and content specific compact query mobile Search engine," International Journal Of Engineering Sciences & Research Technology, July 2015.
Index Terms

Computer Science
Information Sciences

Keywords

User Profile Online Decision Personalization Accuracy Privacy.