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Customized Search Application

by Thingujam Joseph, Bethsheba J. Rapthap, Nupur Choudhury
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 9
Year of Publication: 2016
Authors: Thingujam Joseph, Bethsheba J. Rapthap, Nupur Choudhury

Thingujam Joseph, Bethsheba J. Rapthap, Nupur Choudhury . Customized Search Application. International Journal of Computer Applications. 152, 9 ( Oct 2016), 10-13. DOI=10.5120/ijca2016911817

@article{ 10.5120/ijca2016911817,
author = { Thingujam Joseph, Bethsheba J. Rapthap, Nupur Choudhury },
title = { Customized Search Application },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 9 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 10-13 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016911817 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:57:55.207537+05:30
%A Thingujam Joseph
%A Bethsheba J. Rapthap
%A Nupur Choudhury
%T Customized Search Application
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 9
%P 10-13
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

The main purpose of the search application is to help users find appropriate in-formation that they are looking for. The user needs to login first in order to per-form his search. The Admin will upload the document and the search application will store all the words contain in the document in the database table with some details of the word like how many times the word is present, which document it is present, etc. The system will then search the results of a specific targeted query entered by the user by calculating the tf-idf value and based on the tf-idf value, the result will be displayed. This result is nothing but lists of documents which is most appropriate or relevant to the query that the user has entered. This project also aims at implementing some of the features like customizing by displaying previously viewed sites of each user, recently uploaded documents, etc. It is implemented in PHP, HTML and with MySQL as the database.

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  4. G. Salton and C. Buckley. "Term-weighting approaches in automatic text retrieval". Information Processing & Management, 24 (5). 1988.
  5. H. Wu and R. Luk and K. Wong and K. Kwok. "Interpreting TF-IDF term weights as making relevance decisions". ACM Transactions on Information Systems, 26 (3). 2008.
  6. Jeffrey 3A. Hoffer, Joey F. George, Joseph S. Valacich, “Modern Systems Analysis and Design”, Dorling Kindersley(India) Pvt. Ltd, 2009.
Index Terms

Computer Science
Information Sciences


tf-idf tokenization parsing indexing parser etc.