Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Theoretical and Natural Science

Vol. 2, 20 February 2023

Open Access | Article

A Content-based Movie Recommendation System

Yiting Yuan * 1 , Youyang Qin 2 , Zekai Yu 3 , Congbai Zhang 4
1 Yiting Yuan, Department of business, Rutgers University, Camden, NJ, 08102, United States
2 Youyang Qin, Abington Friends School, Jenkintown, PA, 19046, United States
3 Zekai Yu, Department of Statistics and Data Science, University of Washington, Seattle, 98105, United States
4 Congbai Zhang, Barry Florescue Undergraduate Business Program, University of Rochester, Rochester, NY, 14627, United States

* Author to whom correspondence should be addressed.

Advances in Humanities Research, Vol. 2, 56-66
Published 20 February 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Yiting Yuan, Youyang Qin, Zekai Yu, Congbai Zhang. A Content-based Movie Recommendation System. TNS (2023) Vol. 2: 56-66. DOI: 10.54254/2753-8818/2/20220152.

Abstract

In this paper, we describe a content-based movie recommendation system and provide an overview of the movie recommendation systems in today's market. Our findings show 1): Summary-Based and Feature-Based movie recommendation systems will provide different recommendation results. 2) Combined recommendation system’s result is consistent with the Summary-Based recommendation system but different from the Feature-Based recommendation system. Based on our recommendation system, we also made some innovations and fusion and conducted several control tests to improve the quality of our recommendations.

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2022)
ISBN (Print)
978-1-915371-13-3
ISBN (Online)
978-1-915371-14-0
Published Date
20 February 2023
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/2/20220152
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated