A Study on Movie Recommendations using Collaborative Filtering

Author:

Pradhan Rahul,Swami Ashish Chandra,Saxena Akash,Rajpoot Vikram

Abstract

Abstract The Recommendation system plays a major role nowadays, which is used for many applications. We know that the online content and service providers have a huge amount of content so the problem which arises is which data is required for whom so the problem of providing apposite content frequently. This paper represents the overview and approaches of techniques generated in a recommendation system. One of them is Collaborative Filtering which we will discuss about.

Publisher

IOP Publishing

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparison of user-based and item-based collaborative filtering using similarity metrics;AIP Conference Proceedings;2024

2. A Hybrid Approach Towards a Movie Recommendation System;2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2023-12-15

3. Design and Implementation of a Movie Recommendation Service Based on Real-Time Viewing Record Analysis;Journal of Digital Contents Society;2023-02-28

4. Movie Recommender System Using Machine Learning Algorithm;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

5. Movie Recommendation System Using Machine Learning Algorithms;Journal of Machine and Computing;2022-04-05

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