# RBPR-RecomenderSystems

**Repository Path**: xia_zhaoqiang/rbpr-recomender-systems

## Basic Information

- **Project Name**: RBPR-RecomenderSystems
- **Description**: This code implements a method called rating Bayesian personalized ranking for recommender systems.
- **Primary Language**: Python
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 6
- **Forks**: 2
- **Created**: 2020-09-29
- **Last Updated**: 2024-04-05

## Categories & Tags

**Categories**: research

**Tags**: RS

## README

# RBPR_RecomenderSystems

#### Description
This code implements a method called rating bayesian personalized ranking for recommender systems.

#### Software Architecture
All main codes are included in the RBPR python file. The demo.py shows how to use the RBPR method for training and testing this method.

#### Instructions

1. Usage: using import command to load the RBPR object; Call the RBPR object's training and testing method directly.
2. Example: two files in cold_start_dataset folder can be used to show the usage of RBPR method in demo.py.
3. Requirements: Numpy and some basic modules are neccesary.