MOVIE RECOMMENDATION SYSTEM: A THEORETICAL APPROACH

MOVIE RECOMMENDATION SYSTEM: A THEORETICAL APPROACH

Registration ID: IJNRD_222089

Published ID: IJNRD2405598

DOI: Click Here to Get

Ritvik Mishra , Shashank Sinha , Sukrit Shahi , Vaibhav Pandey

Collaborative, Content-Based, Similarity, Machine Learning, Recommender Systems, Movies.

In today’s world, people have a very busy life and schedule. So they like to do things which brings peace to their mind, and watching movies is one of them. But due to presence of such large information and datasets over the internet, it is very difficult for a user to select a corresponding movie based on their interest. This leads to user searching and selecting the movie which is a very difficult and time-consuming process. To help users deal with this problem, recommendation systems were developed. Recommendation systems deal with the enormous amount of content present over the internet by filtering out the relevant information which makes it easy for user to choose a specific content. When recommendation system deals with movie content present over the web, it is known as Movie Recommendation System. In this paper, we talk about the different filtering techniques which are used in developing a movie recommendation system. Collaborative filtering, content-based filtering, hybrid filtering are some of the major filtering techniques. Each technique provides different type of user interaction. Each have their own advantages and disadvantages.

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"MOVIE RECOMMENDATION SYSTEM: A THEORETICAL APPROACH", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.f967-f973, May-2024, Available :https://ijnrd.org/papers/IJNRD2405598.pdf

Volume 9 Issue 5, May-2024

Pages : f967-f973

Paper Reg. ID: IJNRD_222089

Published Paper Id: IJNRD2405598

Downloads: 000121234

Research Area: Computer Science & Technology 

Country: Gorakhpur, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405598.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405598

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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