BPRMF

repository to implement Bayesian personalized ranking matrix factorization

BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme

Instllation

git clone git@github.com:jchanxtarov/bprmf.git
cd bprmf
make setup

Usage Example

Under the default setting

If you want to save log and best model, please run following command.

make run

A command to run the code without saving the log or model data (dry-run) is prepared as follow.

make dry-run

With your own seting

poetry run python src/main.py {options}

About options, please see here.

Aguments

To see all argments and description, please run the following command.

make args

Refenrence

• https://arxiv.org/pdf/1205.2618.pdf