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Providing privacy and personalization in search


Article Information

Title: Providing privacy and personalization in search

Authors: T. Mercy Priya, R.M. Suresh

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 10

Language: English

Categories

Abstract

The Aim of this project is to construct a PWS framework called UPS that can generate a profile for the given user queries. The framework works in two phases, online phase and offline phase. The PWS is a search technique which provides a better search result which will satisfy the user needs. Here a personalized web search is provided without affecting their privacy. This work has supported to expose the user profile at run time with the given user query and to personalize it. For the PWS the semi structured data is indexed with RDF. Here we use two greedy algorithms, namely Greedy DP (Discriminating Power) and Greedy IL (Information Loss). These algorithms are used in the run time generalization.


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