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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 6, JUNE 2016

News Recommendation Systems: A Comparative Study

Kavita Soni, Shyam Sundar Meena, Preetesh Purohit

DOI: 10.17148/IJARCCE.2016.56113

Abstract: A recommendation system is a solution offers separate and specialized set of information. New era of technology enhance the involvement of web world and web solutions have become crucial part of daily life. A study concludes that personalized solutions have sought much attention due to wide scope of features and facilities. A News Recommendation System is a solution which not only suggests relevant news and articles but also recommends solution as per popularity and user requirement. Several recommendation systems are proposed based on knowledge, content and usage. This paper investigates the role of recommendation system on such papers.



Keywords: News Recommendation, Web Mining, Content Mining.

How to Cite:

[1] Kavita Soni, Shyam Sundar Meena, Preetesh Purohit, “News Recommendation Systems: A Comparative Study,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.56113