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A Recommender System for YouTube Video based on deep neural network

Rashmi Singh1 , Suhasini Vijaykumar2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 160-163, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.160163

Online published on Jun 30, 2019

Copyright © Rashmi Singh, Suhasini Vijaykumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Rashmi Singh, Suhasini Vijaykumar, “A Recommender System for YouTube Video based on deep neural network,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.160-163, 2019.

MLA Style Citation: Rashmi Singh, Suhasini Vijaykumar "A Recommender System for YouTube Video based on deep neural network." International Journal of Computer Sciences and Engineering 7.6 (2019): 160-163.

APA Style Citation: Rashmi Singh, Suhasini Vijaykumar, (2019). A Recommender System for YouTube Video based on deep neural network. International Journal of Computer Sciences and Engineering, 7(6), 160-163.

BibTex Style Citation:
@article{Singh_2019,
author = {Rashmi Singh, Suhasini Vijaykumar},
title = {A Recommender System for YouTube Video based on deep neural network},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {160-163},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4524},
doi = {https://doi.org/10.26438/ijcse/v7i6.160163}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.160163}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4524
TI - A Recommender System for YouTube Video based on deep neural network
T2 - International Journal of Computer Sciences and Engineering
AU - Rashmi Singh, Suhasini Vijaykumar
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 160-163
IS - 6
VL - 7
SN - 2347-2693
ER -

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Abstract

YouTube is video sharing sites where a user can create own profile, upload videos and watch the multiple videos. The YouTube uses the recommender system. With the help of recommendation system we boost the popularity of videos. The recommendation is based on the relation between the number of views and the average number of views on particular videos. The recommendation also considers the likes and comment section. When the viewers view the same type of video then YouTube recommends the same type of video. The YouTube recommendation is based on machine learning technique. In machine learning we used the concept of the deep learning method. With the help of deep learning we solve the sophisticated problem. In this paper we see the working of deep neural network to recommend the video based on viewers.

Key-Words / Index Term

Boost, Sophisticated, Deep Learning

References

[1] M. Deshpande and G. Karypis, ”Item-based top-n recommendation algorithms”, ACM Trans. Inf. Syst., 22(1):143–177, 2004
[2] James Davidson,Benjamin Liebald,Junning Liu,Palash Nandy,Taylor Van Vleet, "The YouTube Video Recommendation System", January 2010.
[3] S. Huffman. Search evaluation at Google.http://googleblog.blogspot.com/2008/09/search-evaluation-at-google.html, 2008.
[4] Shuai Zhang,Lina Yao,Aixin Sun,Yi Tay, "Deep Learning based Recommender System: A Survey and NewPerspectives", ACM Comput. Surv. 1, 1, Article 1 (July 2018), 35 pages.
[5] Paul Covington, Jay Adams, Emre Sargin, ” Deep Neural Networks for YouTube Recommendations”, Boston, Massachusetts, USA — September 15 - 19, 2016