Two-Stage Recommender System

This is a two-stage recommendation project which consists of the first discrete methods and the second real methods

• The first stage model is usuall a very efficient model to retrival highly preferred items, but does not care the internal ranking.
• The last stage can be of high computational cost, such as VAE and other deep learning models, but here we only consider matrix factorization with unknow prior.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

What things you need to install the software and how to install them

Give examples

Installing

A step by step series of examples that tell you how to get a development env running

Say what the step will be

Give the example

And repeat

until finished

End with an example of getting some data out of the system or using it for a little demo

Running the tests

Explain how to run the automated tests for this system

Break down into end to end tests

Explain what these tests test and why

Give an example

And coding style tests

Explain what these tests test and why

Give an example

Authors

• Defu Lian -

Acknowledgments

• Hat tip to anyone whose code was used
• Inspiration
• etc