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Amazon Recommender System Application

This is a Recommender System application for Amazon customers.

Documentation Demo GitHub stars UCSD MIT license

Overview

A personalized ‘shop-by-style’ experience using DeepLearning on Amazon.

Table of Contents

Architecture

Architecture

Models

The following models that have been trained and stored under the individual directories.

  • Keras-DeepRecommender-Shoes
  • Image_based_recommender
  • NLP_TFIDF_weighted_w2v

GraphDB

The Neo4j graph databse is used to store the results of the models and provide recomendations in real time. Example code for deploymnet and queries can be found under GraphDB directory.

DEMO

UCSD MAS DSE Cohort 5 Group 1: Amazon Recommender System Demo

Presentation

UCSD MAS DSE Cohort 5 Group 1: Amazon Recommender System Presentation

About

UCSD Capstone project with Amazon customer dataset.

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