UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRCV06064


Registration ID:
217744

Page Number

311-313

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Title

Ad Analysis using Deep Learning

Abstract

In this paper we analyse the type of video and suggest advertisements accordingly. Advertisement is a communication medium between the producer and the folk, that allure the eyes, make them buy the product. One of the widely seen example is YouTube and other websites used for uploading videos which streams Ads for seconds. The main problem seen is that most of the ads shown are irrelevant of the watched content. The proposed system uses the concept of deep learning by right recommendation of ads, based on the content of the video being uploaded by the user. This analyses the content and provides the related advertisement by classifying them to make video advertisements being displayed more relevant to the content of video being watched.

Key Words

Advertising, Categorising, Classifying, Deep Learning.

Cite This Article

"Ad Analysis using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.311-313, May 2019, Available :http://www.jetir.org/papers/JETIRCV06064.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Ad Analysis using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp311-313, May 2019, Available at : http://www.jetir.org/papers/JETIRCV06064.pdf

Publication Details

Published Paper ID: JETIRCV06064
Registration ID: 217744
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 311-313
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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