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International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)
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Paper Title: Enhanced NEWS Recommendation System for English News: A Survey
Authors Name: Rachana Naik , Abhishek Raghuvanshi
Unique Id: IJSDR1609027
Published In: Volume 1 Issue 9, September-2016
Abstract: : 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 NEWS content. Recommender systems have created important space in daily routing life. News papers 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. Now a day, user desires additional clear and abstract news as per their alternative. Planned resolution can facilitate to meet this need and provides best result as per your demand planned system won't solely observe the news content on user preference or quality basis however additionally refine article on priority and impact basis. Planned system can facilitate to refine standard and effective news content in line with user need. This paper performs a survey in the field of data mining and News recommendation to explore the problems and also consider certain research work in the same.
Keywords: Data Mining, Recommendation system, Web Content Mining
Cite Article: "Enhanced NEWS Recommendation System for English News: A Survey", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 9, page no.186 - 188, September-2016, Available :http://www.ijsdr.org/papers/IJSDR1609027.pdf
Downloads: 0001313
Publication Details: Published Paper ID: IJSDR1609027
Registration ID:160788
Published In: Volume 1 Issue 9, September-2016
DOI (Digital Object Identifier):
Page No: 186 - 188
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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