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.
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.
What things you need to install the software and how to install them
Give examples
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
Explain how to run the automated tests for this system
Explain what these tests test and why
Give an example
Explain what these tests test and why
Give an example
- Defu Lian -
- Hat tip to anyone whose code was used
- Inspiration
- etc