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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: An Efficient Personalized Approach for Protection of Data in Web Search
Authors Name: N.L.V Naresh , D. Lokesh Saikumar
Unique Id: IJSDR1612006
Published In: Volume 1 Issue 12, December-2016
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.
Keywords: Web Search, User Profile, Privacy, Generalization, and Customized.
Cite Article: "An Efficient Personalized Approach for Protection of Data in Web Search ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 12, page no.26 - 29, December-2016, Available :http://www.ijsdr.org/papers/IJSDR1612006.pdf
Downloads: 000102287
Publication Details: Published Paper ID: IJSDR1612006
Registration ID:160964
Published In: Volume 1 Issue 12, December-2016
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Page No: 26 - 29
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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