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Reseach Article

Development of Semantic, Query and Location based Personalized Web Search

Published on September 2016 by A. Smilien Rophie, A. Anitha
National Conference on lnnovation in Computing and Communication Technology
Foundation of Computer Science USA
NCICCT2016 - Number 1
September 2016
Authors: A. Smilien Rophie, A. Anitha
b8681f3e-e271-4508-b7b4-59110fd899a0

A. Smilien Rophie, A. Anitha . Development of Semantic, Query and Location based Personalized Web Search. National Conference on lnnovation in Computing and Communication Technology. NCICCT2016, 1 (September 2016), 1-4.

@article{
author = { A. Smilien Rophie, A. Anitha },
title = { Development of Semantic, Query and Location based Personalized Web Search },
journal = { National Conference on lnnovation in Computing and Communication Technology },
issue_date = { September 2016 },
volume = { NCICCT2016 },
number = { 1 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ncicct2016/number1/25861-2015/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on lnnovation in Computing and Communication Technology
%A A. Smilien Rophie
%A A. Anitha
%T Development of Semantic, Query and Location based Personalized Web Search
%J National Conference on lnnovation in Computing and Communication Technology
%@ 0975-8887
%V NCICCT2016
%N 1
%P 1-4
%D 2016
%I International Journal of Computer Applications
Abstract

To find any information within a fraction of second by using search engines. But it returns irrelevant information also. At that time, Personalization technique can be used. Personalization means based upon the individual's interests, the internet provides relevant information beyond specific query. In the proposed system, there are three various kinds of search can be personalized. Semantic search used to find the keywords and also find related meaning. Query based search used to get back the related documents according to their individual needs. Location based search used to fetch the place, location related information by replacing the map concepts. It is generally used for uneducated people. This framework gives optimal search results for technically lagging people based on their self interests. Greedy algorithms mainly for the purpose of runtime princilpe such as GreedyDP and GreedyIL. The outcome of this proposed work get better search quality, reducing the cost, efficient retrieval and increases the search accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

User Profile Online Decision Personalization Accuracy Privacy.