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Published in:

Volume 5 Issue 1
January-2018
eISSN: 2349-5162

Unique Identifier

JETIR1801156

Page Number

781-783

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Title

A Study on Recommender System

ISSN

2349-5162

Cite This Article

"A Study on Recommender System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.781-783, January-2018, Available :http://www.jetir.org/papers/JETIR1801156.pdf

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Abstract

This paper introduces to the field of recommender systems and portrays the present age of recommendation techniques. On the Internet, where the quantity of decisions is overpowering, there is need to channel, organize and effectively convey significant data with a specific end goal to mitigate the issue of data over-burden, which has made a potential issue to numerous Internet users. Recommender frameworks take care of this issue via looking through huge volume of progressively produced data to furnish clients with customized content and services. It is the keen framework that essentially explore the dataset exhibit in existing framework and in light of which it will give a few suggestions to the user in regards to additionally process. This paper describes different strategies proposed for recommendations including content based, collaborative based and different methods. For enhancement of execution, these techniques have been consolidated in hybrid recommender. The enthusiasm for this territory still stays high since it constitutes a problem-rich research region and in view of the plenitude of down to earth applications that assistance users to manage data over-burden and give customized recommendations, content, and administrations to them.

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"A Study on Recommender System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp781-783, January-2018, Available at : http://www.jetir.org/papers/JETIR1801156.pdf

Publication Details

Published Paper ID: JETIR1801156
Registration ID: 180177
Published In: Volume 5 | Issue 1 | Year January-2018
DOI (Digital Object Identifier):
Page No: 781-783
ISSN Number: 2349-5162

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Cite This Article

"A Study on Recommender System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp781-783, January-2018, Available at : http://www.jetir.org/papers/JETIR1801156.pdf




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