/Product-Recommendation--ALS--FlaskApp

Machine Learning Product recommendation as an API & as a WEB app

Primary LanguagePython

Product-Recommendation-App

A complete RecSys project using anonymized data

NB: Check Back for Deployement on Heroku and Consumed as an API

Product recommendation using ALS framework. Consumed as an API session for third party integrations and as a web application for live retail-customer experience The application takes in a customerID as an input and gives an output of top 10 recommended products names and types based on his/her profile using ALS[alternative least square method] collaborative filtering.

SAMPLE CustomerID to testrun for recommendations: [104076,100000] check the customer id column to play around with more ID's