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Reseach Article

Content and Location based Information Retrieval System

by J Swathi, G Seethalakshmi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 11
Year of Publication: 2014
Authors: J Swathi, G Seethalakshmi
10.5120/18792-0115

J Swathi, G Seethalakshmi . Content and Location based Information Retrieval System. International Journal of Computer Applications. 107, 11 ( December 2014), 1-4. DOI=10.5120/18792-0115

@article{ 10.5120/18792-0115,
author = { J Swathi, G Seethalakshmi },
title = { Content and Location based Information Retrieval System },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 11 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number11/18792-0115/ },
doi = { 10.5120/18792-0115 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:45.873241+05:30
%A J Swathi
%A G Seethalakshmi
%T Content and Location based Information Retrieval System
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 11
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Personalized Web search is an effective means of providing precise results to different users when they submit the same query. As the amount of web information grows rapidly an efficient personalization approach that modifies the appearance of a website's content to satisfy a specific user's instructions or preferences is required. It is also essential to keep track of the change of interest of the user from time to time. An approach which involves a concept based user profiling strategy, along with the click-through data and keyword-based search, is developed. Concepts are split into content and location concepts and are maintained separately for monitoring the gradual transition in the interest of a user over the time. The user's interest is captured from the click-through information. Depending upon the links clicked and the concepts returned users' information access behavior is analyzed and re-ranking is performed to obtain the relevant results.

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Index Terms

Computer Science
Information Sciences

Keywords

Personalization User-profiling Click-through tf-idf Content and location concept.