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Mini Review Open Access June 21, 2022

Create a Book Recommendation System using Collaborative Filtering

Raja Marappan 1,*
1
School of Computing, SASTRA Deemed University, Thanjavur, India
Publihed in: Current Research in Public Health (Volume 1, Issue 1, 2022)
Page(s): 44-46
DOI: 10.31586/ijmebac.2022.341
Received
May 12, 2022
Revised
June 11, 2022
Accepted
June 19, 2022
Published
June 21, 2022
Keywords
Recommendation System; Book Recommender; Data Science; Machine Learning; Collaborative Filtering
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. Current Research in Public Health, 1(1), 44-46. https://doi.org/10.31586/ijmebac.2022.341
ACS Style
Marappan, R. Create a Book Recommendation System using Collaborative Filtering. Current Research in Public Health 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". Current Research in Public Health 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. Current Research in Public Health. 2022; 1(1):44-46. https://doi.org/10.31586/ijmebac.2022.341 
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AUTHOR = {Marappan, Raja},
TITLE = {Create a Book Recommendation System using Collaborative Filtering},
JOURNAL = {Current Research in Public Health},
VOLUME = {1},
YEAR = {2022},
NUMBER = {1},
PAGES = {44-46},
URL = {https://www.scipublications.com/journal/index.php/IJMEBAC/article/view/341},
ISSN = {2831-5162},
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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