Personalized Web Search : A Review

Authors

  • Dr. Avinash S. Kapse  Ph.D. (CSE), M.E.(CSE), B.E.(CSE), Diploma (CT), Head of Department & Assistant Professor Department of Information Technology, Anuradha Engineering College, Chikhli.
  • Sushama Bhandare  Student Department of Computer Science & Engineering, Anuradha Engineering College, Chikhli, Maharashtra.
  • Dr. Arvind S. Kapse  Professor, Information Science & Engineering Department, New Horizon College of Engineering, Bengaluru, Karnataka

Keywords:

Log Based Method, Profile Based Method, Greedy Approach

Abstract

This topic provides varying search systematically to each user depends upon preferences and information, for a given query. It is basic for overseeing and improving the nature of recognized administrations remembered for looking through example on the web. In any case, numerous client are a lot of made sure about sharing of information in different stage and which makes it significant snag for the wide expansion of PWS. We survey here an overall system that can sum up profiles by learning the questions while keeping up client indicated protection prerequisites. In this paper we attempt to lessen the danger of sharing of information by different undesirable sources and assists with keeping up the parity in the middle of breaking down the information and giving the information which certainly improves the intension of PWS framework and keep up the dignity of the reality.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-09-30

Issue

Volume 4, Issue 11, September-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Avinash S. Kapse, Sushama Bhandare, Dr. Arvind S. Kapse, " Personalized Web Search : A Review" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 11, pp.31-34, September-2020.