TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
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Updated
May 31, 2023 - Python
TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
Collaborative movie recommendation (item based). Developed in C language.
Recommender System using Item Based Collaborative Filtering
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
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