User-based Recommender System

A user-based recommender system, based on Apache Mahout, GroupLens MovieLens dataset.

Framework used

Apache Mahout, Spring Boot, Spring Web MVC, MyBatis, Spring Security, Thymeleaf, Bootstrap, ...

How to install

Requirements

• JDK 1.8 or higher.
• Better with IntelliJ IDEA.

Dependencies

• MariaDB
  brew install mariadb (for Mac users)

Install

Get the code

• Clone from repository.
  git clone https://github.com/TaoSama/recommender.git
• Then work around in root directory of the project.
  cd recommender

Load processd GroupLens MoviesLens dataset into mysql

• Suppose you have installed MariaDB.
• Start mysql service.
  brew services start mariadb (for Mac users)
• Modify the absolute-directory to fit your computer in ./src/main/resources/import_movielens_dataset.sql
• Then execute the sql.
  mysql -u root < ./src/main/resources/import_movielens_dataset.sql

Build and run

• Build with maven wrapper.
  ./mvnw clean package
• Run with Java.
  java -jar ./target/recommender-0.0.1-SNAPSHOT.jar
• Open your browser to see the demo.
  http://localhost:8080

Developers

• TaoSama
• Cloverii

License

MIT