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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 8, ISSUE 12, DECEMBER 2021

Movies Recommendation System

Pooja Mankar, Namrata Pisal, Aditya Pharande

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+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page Movies Recommendation System Pooja Mankar, Namrata Pisal, Aditya Pharande

Abstract: Recommendation System are the systems provide suggestions to the user(Recommends the content). Contents like Books, Movies, Smart Phones, Vehicles. While movie recommendation systems suggest the user movies that are based on the previous movie's attributes liked by the user. These recom- mendation systems are very helpful in companies, websites, stores where the amount of the content is large as well as number of customer (consumer) is huge & content is diverse. Designing such a system lot of factors are considered, mainly the genre of movie, While other factors may include the actors, language, director of the movie. Multiple factors may affect the suggestions, while Some factor might play bigger roles than other based on the user's history of selection. This paper proposes a system that uses the K-Nearest Neighbors Algorithm, In injunction with Collaborative filtering. The data-set used for this system is TMDB. The data analysis tool used is Python. Downloads: | DOI: 10.17148/IARJSET.2021.81251 How to Cite: [1] Pooja Mankar, Namrata Pisal, Aditya Pharande, "Movies Recommendation System," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2021.81251 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

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[1] Pooja Mankar, Namrata Pisal, Aditya Pharande, “Movies Recommendation System,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2021.81251

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