Movie Recommendation using Collaborative filtering and Content-based Filtering Approach
Author:
Affiliation:
1. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaddeswaram,Andhra Pradesh,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10133935/10133936/10134213.pdf?arnumber=10134213
Reference20 articles.
1. Movie recommendation system using machine learning;furtado;Intemationaljournal ofresearch in industrial engineering,2020
2. A Generic Framework for Learning Explicit and Implicit User-Item Couplings in Recommendation
3. Learning and Fusing Multiple User Interest Representations for Micro-Video and Movie Recommendations
4. Personalized real-time movie recommendation system: Practical prototype and evaluation
5. Movie recommendation system using clustering and pattern recognition network
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1. Comparison of user-based and item-based collaborative filtering using similarity metrics;AIP Conference Proceedings;2024
2. Diversifying Recommendations of Collaborative Filtering using Apriori Algorithm for Movies;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13
3. Predicting User Interest Using Hierarchical-Based Clustering for Recommender Systems;2023 International Conference of Computer Science and Information Technology (ICOSNIKOM);2023-11-10
4. Personality-Based Hybrid Machine Learning Model for Mentor-Mentee Matching using Collaborative and Content Filtering Methods;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26
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