Collaborative Filtering Movie Recommendation System

Author:

Manjeet Singh and Namita Goyal

Abstract

Recommendation System plays an important role in today’s era of e-commerce. From OTT platforms to the shopping application and music application everywhere we see that after watching a movie or buying an item, listening a song we are recommended with some other movie or item or song. Most of the time we select our next movie, item or song from the recommended one. In this paper I will give you a brief description of collaborative and user-based filtering. The data used in this research is taken from Movie Lens. The result obtained contains some movie recommendations.

Publisher

International Journal for Modern Trends in Science and Technology (IJMTST)

Subject

Ocean Engineering

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. Interactive AI Virtual Teaching Resource Intelligent Recommendation Algorithm Based on Similarity Measurement on the Internet of Things Platform;Journal of Testing and Evaluation;2024-05-01

2. Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph Representation Learning;Lecture Notes in Electrical Engineering;2024

3. Enhancement of VR Movie Experience Effect Based on Collaborative Filtering Algorithm;2023 International Conference on Computer Simulation and Modeling, Information Security (CSMIS);2023-11-15

4. An Approach to Recommend Fishing Location and Forecast Fish Production by Using Big Data Analysis and Distributed Deep Learning;2022 RIVF International Conference on Computing and Communication Technologies (RIVF);2022-12-20

5. Design and implementation of offline shopping recommendation system based on intelligent technology;2021 International Conference on Aviation Safety and Information Technology;2021-12-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3