rileyshen/Twitch

A Personalized Twitch Resources Recommendation Engine

About The Project

Overview of First Project

Twitch+: A Personalized Twitch Resources Recommendation Engine

Designed and built a full-stack web application for users to search twitch resources (stream/video/clip) and get recommendations.

Built a web page with rich + user friendly experience using React and Ant Design

Implemented RESTful APIs using Java servlets, retrieved real Twitch resources using Twitch API and stored data in MySQL. Support login/logout and favorite collection.

Explored multiple recommendation algorithms and extracted game information from Twitch resources to implement a Content-based algorithm. Deployed the service to AWS EC2 for better stability.

Development Environment Setup

• Java 8
• IntelliJ IDEA Ultimate as the IDE
• Apache Tomcat
• Postman

Getting Started

1. Create New Project in IDEA

2. On the New Project page,

• Java Enterprise

• Build Tool: Maven

• Languages: Java

• Project SDK field, choose the JDK you’ve installed on your laptop/desktop, and click OK.

• libraries and Frameworks:

  • Servlet (4.0.1)

3. add Apache Tomcat as a Run/Debug Configuration

• Tomcat Server
  • Local

Click the Configure… button for Application Server:

Now specify the Tomcat Home. Locate where the Tomcat directory you saved on your disk:

Notice the warning at the bottom? Click Fix, and choose jupiter: war exploded.

Click OK or Apply

clicking the green ▶️ button:

First Servlet

1. Right-click on the java source folder, then choose New, then Create New Servlet

Now we have a default empty servlet

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Riley Shen - ripple.shen31@gmail.com

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