professoroakz / recommenders-deconstructed

A repo for implementing, understanding and analyzing recommender systems in Python.

Recommenders Deconstructed

Description

A repo for implementing, understanding and analyzing recommender systems in Python.

Collaborative Filtering

Collaborative Filtering project using a subset of the millionsong dataset. User-User Collaborative Filtering implemented with three different ranking methods. Item-Item Collaborative Filtering implemented using several set and similarity methods:

• Set Intersection
• Ochiai
• TF-IDF
• Jaccard
• Cosine
• Smoothed Cosine

Matrix Factorization, Factorization Machines and Networks coming.

Requirements

• Python
• Pandas
• Numpy