Open AccessExtended model for Privacy Enhanced Personalized Web Search Ranking System
Author(s) -
Nidhi Saxena,
Bineet Kumar Gupta
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j1194.0881019
Subject(s) - personalization , computer science , world wide web , web page , ranking (information retrieval) , web navigation , personalized search , web intelligence , web modeling , information retrieval , internet privacy
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 clicks. 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.