Popular GitHub Repositories for Alternating Least Squares

Recommender system in retail

Recommendation System using MLlib and ML libraries on Pyspark

Python scripts that implement collaborative filtering using Matrix Factorization with Alternating Least Squares (MF-ALS) for hotels and restaurants, Restricted Boltzmann Machines (RBM) for attractions, and content-based filtering using cosine similarity for the "More Like This" feature.

This repository explores recommendation engines from simple Matrix Factorization methods to NeurMF Methods

A pipeline that collects, preprocesses and labels raw user-item interaction data to build a recsys with collaborative filtering (SVD, ALS) and LTR (XGBoost ranking) methods