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A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.
This Notebook Recommends Restaurants based on popularity
Machine Learning Python Recommendation Service using NumPy, Panda, and SciPy for Enterprise Level Implementation
in this section will be item based recommender on movies and ratings dataset
Implicit Collaborative Filtering based Recommendation Engine Implementation using LightFM along with REST API using django-restframework
in this section will be item based recommender on movielans dataset
This Notebook Recommends Restaurants based on correlation