Paper Title

An Efficient Personalized Approach for Protection of Data in Web Search

Authors

N.L.V Naresh , D. Lokesh Saikumar

Keywords

Web Search, User Profile, Privacy, Generalization, and Customized.

Abstract

A large number of clients need to get some data on web crawlers. The developing utilization of web indexes empowers us to the most part portray the data. In any case, the significant entanglement of non specific web index is that they give back a similar rundown of results to client which can be unimportant for clients require. To address this issue, customized hunt is thought to empower arrangement as it gives significant query items according to client data need and intrigue. Securing protection in PWS is examined for which catches client individual data and creates client profile and yields applicable rundown of results. For web looking, client profiles are must for powerful results. However, the utilization of this profile to discover intrigue is a break to secure protection. To overcome this issue, securing protection is essential. Consequently, we concentrate on the current strategies for security of protection in customized web inquiry and its adequacy.

How To Cite

"An Efficient Personalized Approach for Protection of Data in Web Search ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.26 - 29, December-2016, Available :https://ijsdr.org/papers/IJSDR1612006.pdf

Issue

Volume 1 Issue 12, December-2016

Pages : 26 - 29

Other Publication Details

Paper Reg. ID: IJSDR_160964

Published Paper Id: IJSDR1612006

Downloads: 000347040

Research Area: Engineering

Country: KRISHNA, ANDHRA PRADESH, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1612006

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1612006

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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