Implementation of Personal Web Search by Using Content and Location Concept

Authors(2) :-Vissa Rajyalakshmi, Muddana Sarada

Presently a day there is a noteworthy issue in mobile search is that the communications between the clients and search engines are constrained by the small form components of the mobile devices. Subsequently, portable clients have a tendency to submit shorter, thus, more questionable queries contrasted with their web search counterparts. Keeping in mind the end goal to return exceptionally pertinent outcomes to the clients, mobile search engines must have the capacity to profile the client's advantages and customize the query items as per the client's profiles. In this paper, A Personalized Mobile Search Engine (PMSE) utilizing substance and location idea, that catches client's inclinations as ideas by mining their navigate information. Because of the significance of location data in portable query, PMSE orders these ideas into content ideas and location ideas. The client inclinations are sorted out in a philosophy based client profile, which is utilized to adjust a personalized ranking capacity for rank adjustment of future search lists.

Authors and Affiliations

Vissa Rajyalakshmi
PG Student, Department of M.C.A, St.Ann's College of Engineering & Technology, Chirala, Andhra Pradesh, India
Muddana Sarada
Assistant Prof, Department of M.C.A, t.Ann's College of Engineering & Technology, Chirala, Andhra Pradesh, India

Click through data, mobile search engine, location search, personalization.

  1. R. Sorabji. Aristotle on memory. University of Chicago Press, 2rd edition, 2006.
  2. H. C. Ellis and R. R. Hunt. Fundamentals of human memory and cognition. William C. Brown, 3rd edition, 1983.
  3. R. Durrett. Probability: theory and examples. Cambridge University Press, 4rd edition, 2010.
  4. L. Guo, F. Shao, C. Botev, and J. Shanmugasundaram. XRANK: ranked keyword search over xml documents. In SIGMOD, pages 16–27, 2003.
  5. J. Li, C. Liu, R. Zhou, and W. Wang. Top-k keyword search over probabilistic xml data. In ICDE, pages 673–684, 2011.
  6. H. Georgiadis and V. Vassalos. Improving the efficiency of xpath execution on relational systems. In EDBT, pages 570–587, 2006.
  7. D. C. Rubin and A. E. Wenzel. One hundred years of forgetting: a quantitative description of retention. Psychological Review, 103(4):734–760, 1996.
  8. I. Ruthven and M. Lalmas. A survey on the use of relevance feedback for information access systems. Knowledge Engineering Review, 18(2):95–145, 2003.
  9. M. A. Soliman, I. F. Ilyas, D. Martinenghi, and M. Tagliasacchi. Ranking with uncertain scoring functions: semantics and sensi- tivity measures. In SIGMOD, pages 805–816, 2011.
  10. M. V. Vieira, B. M. Fonseca, R. Damazio, P. B. Golgher, D. d. C. Reis, and B. Ribeiro-Neto. Efficient search ranking in social networks. In CIKM, pages 563–572, 2007.
  11. S. Yokoji, "Kokono Search: A Location Based Search Engine," Proc.Int’l Conf. World Wide Web (WWW), 2001.
  12. Q. Tan, X. Chai, W. Ng, and D. Lee, "Applying Co- Training to Clickthrough Data for Search Engine Adaptation," Proc. Int’l Conf. Database Systems for Advanced Applications (DASFAA), 2004..
  13. T. Joachims, "Optimizing Search Engines Using Clickthrough Data," Proc. ACM SIGKDD Int’l Conf. Knowledge Discovery and Data Mining, 2002.
  14. K.W.-T. Leung,W.Ng, and D.L. Lee, "Personalized Concept-Based Clustering of Search Engine Queries," IEEE Trans. Knowledge and Data Eng., vol. 20, no. 11, pp. 1505-1518, Nov. 2008.
  15. "Ontology Supported Personalized Search for Mobile Devices"DanielArechiga, Jesus Vegas and Pablo de la FuenteRedondo,’lconf.Web search and Data Mining,2011.
  16. "semantic context aware framework for paersonalization"Y.Xu, B.Zhang,and Z.Chen, 2oo7.
  17. J. Hur and D.K. Noh, "Attribute-based Access Control with Efficient Revocation in Data Outsourcing Systems," IEEE Transactions on Parallel and Distributed Systems, vol. 22, no.7, pp. 1214-1221, Nov 2010, doi: 10.1109/ TPDS.2010.203.
  18. M. Li, S. Yu, Y. Zheng, K. Ren, and W. Lou,"Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption, IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 1, pp. 131-143, Jan. 2012, doi:10.1109/ TPDS.2012.97.
  19. M. Green, S. Hohenberger and B. Waters, "Outsourcing the Decryptionof ABE Ciphertexts," Proc. 20th USENIX Conference on Security (SEC ’11), pp. 34, 2011.

Publication Details

Published in : Volume 3 | Issue 2 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 74-79
Manuscript Number : CSEIT1831440
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Vissa Rajyalakshmi, Muddana Sarada, "Implementation of Personal Web Search by Using Content and Location Concept", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 2, pp.74-79, January-February-2018.
Journal URL :

Article Preview