Movie Recommendation System Using Director-Based-Reference-Cited by-同舟云学术

Movie Recommendation System Using Director-Based

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Computer Science and Engineering Conference (ICSEC)
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Author:

Chunhapran Orawan¹,Phromsuthirak Choopol²,Hama Maposee³,Maliyaem Maleerat³

Affiliation:

1. Rajamangala University of Technology Tawan-Ok,Faculty of Business Administration and Information Technology,Bangkok,Thailand

2. Navamindradhiraj University,Faculty of Science and Health Technology,Bangkok,Thailand

3. King Mongkut’s University of Technology North Bangkok,Faculty of Information Technology and Digital Innovation,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10049307/10049308/10049347.pdf?arnumber=10049347

Reference15 articles.

1. A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews

2. Similarity Based Collaborative Filtering Model for Movie Recommendation Systems;k;2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS),2021

3. TMDB 5000 Movie Dataset;dedhia;Kaggle,2022

4. Hybrid model for movie recommendation system using content K-nearest neighbors and restricted Boltzmann machine

5. Analysis on Item-Based and User-Based Collaborative Filtering for Movie Recommendation System

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