Extended model for Privacy Enhanced Personalized Web Search Ranking System
Nidhi Saxena1, Bineet Gupta2

1Nidhi Saxena, Information Technology, SRMGPC. Lucknow UP, India.
2Bineet Gupta, Computer Applications, SRMU, Lucknow UP, India.

Manuscript received on 09 August 2019 | Revised Manuscript received on 17 August 2019 | Manuscript published on 30 August 2019 | PP: 3271-3275 | Volume-8 Issue-10, August 2019 | Retrieval Number: J11940881019/2019©BEIESP | DOI: 10.35940/ijitee.J1194.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Our existing society is totally dependent on web search to fulfill our daily requirements. Therefore, millions of web pages are accessed every day. To fulfill user need number of websites and webpages are added. The growing size of web data results to the difficulty in attaining useful information with a minimum click. This results to the acquisition of personalization a major place in Web search. But the use of personalization breaches privacy in searching. Personalization with privacy is leading issue in current web environment. This paper aims at user satisfaction by using user identification-based personalization approach in web search engine. Beside personalization the proposed model creates privacy during personalization. The proposed system will prove to be user friendly with less efforts and privacy concern.
Keywords: Personalization, Privacy, Ranking, User Search Log
Scope of the Article: Security and Privacy