INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
HYBRID NEWS RECOMMENDATION SYSTEM USING TF-IDF AND ASSOCIATIVE CALCULUS
Authors Name:
Rachana Naik
, Abhishek Raghuvanshi
Unique Id:
IJSDR1703008
Published In:
Volume 2 Issue 3, March-2017
Abstract:
The growing use of internet makes it essential for daily life. It plays important role in busy schedule to make it easy and simple. The bigger challenge of today is awareness of current affairs. Data mining techniques is the results of an extended method of analysis and merchandise development. Data mining takes this organic process on the far side retrospective knowledge access and navigation to prospective and proactive data delivery. Recommender systems is one of the biggest outcome of data mining gives more relevant and useful outcome NEWS Recommender systems have created important space in daily routing life. Newspapers are essential to urge information concerning recent activity and general awareness. Varied solutions are developing to convert paper News system to digital news and become an excessive amount of standard. This paper has investigated the importance of news recommendation solution and effort to improve the performance of news recommendation using modified TF-IDF algorithm. Proposed solution is implemented using Java technology and evaluated on basis of computation time for different category. A BBC dataset has been used as data source for same.
Keywords:
TF-IDF, News, BBC Dataset, Associative Calculus
Cite Article:
"HYBRID NEWS RECOMMENDATION SYSTEM USING TF-IDF AND ASSOCIATIVE CALCULUS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 3, page no.48 - 51, March-2017, Available :http://www.ijsdr.org/papers/IJSDR1703008.pdf
Downloads:
000337067
Publication Details:
Published Paper ID: IJSDR1703008
Registration ID:170076
Published In: Volume 2 Issue 3, March-2017
DOI (Digital Object Identifier):
Page No: 48 - 51
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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