HYBRID NEWS RECOMMENDATION SYSTEM USING TF-IDF AND ASSOCIATIVE CALCULUS

Rachana Naik , Abhishek Raghuvanshi

TF-IDF, News, BBC Dataset, Associative Calculus

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.

Published Paper   E-Certificate

"HYBRID NEWS RECOMMENDATION SYSTEM USING TF-IDF AND ASSOCIATIVE CALCULUS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.48 - 51, March-2017, Available :https://ijsdr.org/papers/IJSDR1703008.pdf

Volume 2 Issue 3, March-2017

Pages : 48 - 51

Paper Reg. ID: IJSDR_170076

Published Paper Id: IJSDR1703008

Downloads: 000347147

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1703008

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1703008

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition