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Article Open Access April 28, 2022

Analysis of Network Modeling for Real-world Recommender Systems

Raja Marappan 1,* and S. Bhaskaran 1
1
School of Computing, SASTRA Deemed University, Thanjavur, India
Publihed in: Current Research in Public Health (Volume 1, Issue 1, 2022)
Page(s): 1-7
DOI: 10.31586/ijmebac.2022.283
Received
March 19, 2022
Revised
April 18, 2022
Accepted
April 26, 2022
Published
April 28, 2022
Keywords
Recommender System; Recommendation System; Collaborative Filtering; Machine Learning; Artificial Intelligence; Hybrid Methods
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. , & Bhaskaran, S. (2022). Analysis of Network Modeling for Real-world Recommender Systems. Current Research in Public Health, 1(1), 1-7. https://doi.org/10.31586/ijmebac.2022.283
ACS Style
Marappan, R. ; Bhaskaran, S. Analysis of Network Modeling for Real-world Recommender Systems. Current Research in Public Health 2022 1(1), 1-7. https://doi.org/10.31586/ijmebac.2022.283
Chicago/Turabian Style
Marappan, Raja, and S. Bhaskaran. 2022. "Analysis of Network Modeling for Real-world Recommender Systems". Current Research in Public Health 1, no. 1: 1-7. https://doi.org/10.31586/ijmebac.2022.283
AMA Style
Marappan R, Bhaskaran S. Analysis of Network Modeling for Real-world Recommender Systems. Current Research in Public Health. 2022; 1(1):1-7. https://doi.org/10.31586/ijmebac.2022.283 
@Article{crph283,
AUTHOR = {Marappan, Raja and Bhaskaran, S.},
TITLE = {Analysis of Network Modeling for Real-world Recommender Systems},
JOURNAL = {Current Research in Public Health},
VOLUME = {1},
YEAR = {2022},
NUMBER = {1},
PAGES = {1-7},
URL = {https://www.scipublications.com/journal/index.php/IJMEBAC/article/view/283},
ISSN = {2831-5162},
DOI = {10.31586/ijmebac.2022.283},
ABSTRACT = {Nowadays, recommendation systems are existing everywhere in the internet world, online people are presented with the required needs not just for actual physical products, but also for several other things such as songs, places, books, friends, movies, and many more requirements. Most of the systems are developed with the basic collaborative and hybrid filtering, where the people or users are recommended items that the choices are based on the right preferences of other people by applying the machine intelligence strategies. In this research, the importance of network modeling is analyzed in solving real-world problems.},
}
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AB  - Nowadays, recommendation systems are existing everywhere in the internet world, online people are presented with the required needs not just for actual physical products, but also for several other things such as songs, places, books, friends, movies, and many more requirements. Most of the systems are developed with the basic collaborative and hybrid filtering, where the people or users are recommended items that the choices are based on the right preferences of other people by applying the machine intelligence strategies. In this research, the importance of network modeling is analyzed in solving real-world problems.
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