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Profile based personalized web search using Greedy Algorithms


Article Information

Title: Profile based personalized web search using Greedy Algorithms

Authors: P. Lakshmi Prasanna, B. Sekhar Babu, D. Rajeswara Rao, J. Lakshmi Anusha, A. Pratyusha, A. Ravi chand

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: 2016

Volume: 11

Issue: 9

Language: English

Categories

Abstract

Internet usage is being increased as it provides information to all the users. The required information is retrieved by the search engines. The currently working search engines using sophisticated algorithms will not always provide relevant information to user’s requirements. To resolve the issue, Personalized web search is used that will improve the quality of the search result by reordering the search results. This web search is done to provide relevant results using the user profile. The proposed UPS framework will dynamically generate a user profile for a user’s query prioritizing the user’s privacy. To acquire this we are implementing Greedy DP and Greedy IL Algorithms that are used for runtime generalization.


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