This is an app for collaborative and hybrid filtering using multiple csv data a model is trained and a flask is used for the web representation of model
-
Updated
Jan 11, 2024 - HTML
This is an app for collaborative and hybrid filtering using multiple csv data a model is trained and a flask is used for the web representation of model
EDA, Pre-processing, 6 Recommendation Systems Techniques: * Popularity-Based, * Cosine Similarity Collaborative Filtering, * Matrix Factorization Collaborative Filtering, * Clustering, * Content-Based Filtering, * Hybrid Recommendation System.
Add a description, image, and links to the hybrid-recommender-system topic page so that developers can more easily learn about it.
To associate your repository with the hybrid-recommender-system topic, visit your repo's landing page and select "manage topics."