# Amazon Recommender System Application
This is a Recommender System application for Amazon customers.


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[![Demo](https://img.shields.io/badge/status-staging-Red.svg)](https://sites.google.com/a/eng.ucsd.edu/capstone-2020-amazondata/)
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## Overview
A personalized Ôshop-by-styleÕ experience using DeepLearning on Amazon.

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## Table of Contents

- [Amazon Recommender System Application](#amazon-recommender-system-application)
  - [Overview](#overview)
  - [Table of Contents](#table-of-contents)
  - [Architecture](#architecture)
  - [Models](#models)
  - [GraphDB](#graphdb)


## Architecture
![Architecture](./img/AmazonDataPipeline.png)


## 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.