Mini Review Open Access June 21, 2022

Create a Book Recommendation System using Collaborative Filtering

1
School of Computing, SASTRA Deemed University, Thanjavur, India
Page(s): 44-46
Received
May 12, 2022
Revised
June 11, 2022
Accepted
June 19, 2022
Published
June 21, 2022
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2022. Published by Scientific Publications
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Cite This Article

APA Style
Marappan, R. (2022). Create a Book Recommendation System using Collaborative Filtering. Universal Journal of Physics Research, 1(1), 44-46. https://doi.org/10.31586/ijmebac.2022.341
ACS Style
Marappan, R. Create a Book Recommendation System using Collaborative Filtering. Universal Journal of Physics Research 2022 1(1), 44-46. https://doi.org/10.31586/ijmebac.2022.341
Chicago/Turabian Style
Marappan, Raja. 2022. "Create a Book Recommendation System using Collaborative Filtering". Universal Journal of Physics Research 1, no. 1: 44-46. https://doi.org/10.31586/ijmebac.2022.341
AMA Style
Marappan R. Create a Book Recommendation System using Collaborative Filtering. Universal Journal of Physics Research. 2022; 1(1):44-46. https://doi.org/10.31586/ijmebac.2022.341
@Article{ujpr341,
AUTHOR = {Marappan, Raja},
TITLE = {Create a Book Recommendation System using Collaborative Filtering},
JOURNAL = {Universal Journal of Physics Research},
VOLUME = {1},
YEAR = {2022},
NUMBER = {1},
PAGES = {44-46},
URL = {https://www.scipublications.com/journal/index.php/IJMEBAC/article/view/341},
ISSN = {2834-5479},
DOI = {10.31586/ijmebac.2022.341},
ABSTRACT = {One of the most important applications of data science is the recommendation system. Every organization requires a good recommendation system to express a large range of items. This research focuses on the creation of a book recommender system using collaborative filtering.},
}
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AB  - One of the most important applications of data science is the recommendation system. Every organization requires a good recommendation system to express a large range of items. This research focuses on the creation of a book recommender system using collaborative filtering.
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