Recommender systems (RS) have been so popular lately because of their powerful capability to predict future preferences of a set of items for a user.
Here we present two RS techniques: Collaborative Filtering and Hybrid filtering.
This is a quick guide of Python codes to build a Recommendation Engine from scratch. The table used is created randomly, we only focus on how RS works.
Collaborative_Filtering_Item_Item.ipynb
Hybrid_Filtering.ipynb
pandas
numpy
random
scipy
sklearn
lightfm
pip install lightfm