TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
-
Updated
May 31, 2023 - Python
TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
Recommender System using Item Based Collaborative Filtering
Collaborative movie recommendation (item based). Developed in C language.
In this project implemented neighborhood based collaborative filtering (NBCF) algorithms in order to make predictions for movie ratings of people. There are two main types of NBCF algorithms: user-based (UBCF) and item-based (IBCF).
Project based on Collaborative Filtering Recommendation System (Item-based) using Streamlit on movies dataset
repository for web mining project: Music Artist PersonalRank Recommender based on social network and tag system
Add a description, image, and links to the item-based topic page so that developers can more easily learn about it.
To associate your repository with the item-based topic, visit your repo's landing page and select "manage topics."