This repo contains the following recommender systems.

• Association Rule Learning Recommender
• Content Based Recommender
• Item Based Recommender
• User Based Recommender
• Matrix Factorization Recommender

Contains a project that is a hybrid method of the above methods.

For the user whose ID is given, it is desired to make 10 movie recommendations using item-based and user-based recommender methods

mlxtend==0.21.0
pandas==1.4.4
scikit_learn==1.1.2
scikit_surprise==1.1.2
surprise==0.1

01_arl.ipynb - Association Rule Learning Notebook

02_content_based_recommender.ipynb - Content Based Filtering Movie Recommender

03_item_based_recommender.ipynb - Item Based Filtering Movie Recommender

04_user_based_recommender.ipynb - User Based Filtering Movie Recommender

05_matrix_factorization.ipynb - Matrix Factorization Movie Recommender

06_Hybrid-Recommender-System-Project.ipynb - Hybrid Movie Recommender PROJECT

Oğuz Erdoğan