Work

movie recommendation system using machine learning

Year: 2025

Type: article

Abstract: A movie recommendation system is essential for providing users with tailored movie recommendations. This study performs a systematic literature review on existing movie recommendation system. It also highlights the technical details of working procedure of a movie recommendation system and how the filtering criteria work. The research aims to highlight the modern movie recommendation systems that are recently being used by the researchers and which kind of necessary measures to be taken to prevent current challenges.

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2025.v07i02.41319

Authors: Anish Kumar, Sharmistha Dey, Hariom Kumar, Vaibhav Mishra

Institution: Galgotias University

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4409895431

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