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REGAINER : A Context based Data Retrieval System

Published on June 2015 by Priyanka G. Hakke, Pushpanjali Chouragade
journal_cover_thumbnail

National Conference on Recent Trends in Computer Science and Engineering
Foundation of Computer Science USA
MEDHA2015 - Number 1
June 2015
Authors: Priyanka G. Hakke, Pushpanjali Chouragade
80f70be1-e0e3-4d9b-8bd8-8d425898d74e

Priyanka G. Hakke, Pushpanjali Chouragade . REGAINER : A Context based Data Retrieval System. National Conference on Recent Trends in Computer Science and Engineering. MEDHA2015, 1 (June 2015), 11-10.

@article{
author = { Priyanka G. Hakke, Pushpanjali Chouragade },
title = { REGAINER : A Context based Data Retrieval System },
journal = { National Conference on Recent Trends in Computer Science and Engineering },
issue_date = { June 2015 },
volume = { MEDHA2015 },
number = { 1 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 11-10 },
numpages = 0,
url = { /proceedings/medha2015/number1/21424-8006/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Science and Engineering
%A Priyanka G. Hakke
%A Pushpanjali Chouragade
%T REGAINER : A Context based Data Retrieval System
%J National Conference on Recent Trends in Computer Science and Engineering
%@ 0975-8887
%V MEDHA2015
%N 1
%P 11-10
%D 2015
%I International Journal of Computer Applications
Abstract

In searching, reading, writing and collecting lots of information from local computer or web. Retrieving information from the web is time consuming activity and most of the time the input queries from users are repeated. A context-based information refinding system called Regainer. It uses human's natural recall characteristics so that users can refind files and web pages according to the previous access context. Regainer refinds information based on query by context model over context memory snapshot. Context instances are clustered and required result is retrieved.

References
  1. Tangjian Deng, Liang Zhao, Hao Wang, Qingwei Liu, and Ling Feng, "ReFinder: A Context Based Information Refinding System", IEEE Transactions On Knowledge and Data Engineering, Vol. 25, No. 9, September 2013.
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  4. Prakash. M, Karthika. D, Sophia. J, "A Large Scale Analysis Of InformationReFindingSystem", International Journal of Innovative Research in Computer and Commu- n icationEngineering (An ISO 3297: 2007 Certified Organization) Vol. 2, Special Issue 1, March 2014 Proceedings of International Conference On Global Innovations In Computing Technology (ICGICT'14).
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  6. A. Revathi, A. Mekala, "User Search Histories Based On Query Relevance Using Incremental Algorithm", International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 2, Special Issue 1, March 2014.
  7. A. P. Nivethith, D. Kerana Hanirex, Dr. K. P. Kaliyamurthie, "A Comparative Study of Context-Based Information Refinding", COMPUSOFT, An international journal of advanced computer technology, 3 (4), April-2014 (Volume-III, Issue-IV).
  8. Yeswanth. L, Nimala. K, "Activity Based Key Search Information Re-finder" (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (1) , 2014, 648-650.
Index Terms

Computer Science
Information Sciences

Keywords

Refinding Information Context Based Context Degradation.