#Job-recommendation-system The project aims to use personalization to improve ticket search and recommendation
- Created Java servlets with RESTful APIs to handle HTTP requests and responses
- Built MySQL database on Amazon RDS to store position data from Github API
- Designed algorithms (e.g., content-based recommendation) to improve event recommendation based on search history and favorite records)
- Deployed server to Amazon EC2 to handle 150 queries per second tested by Apache JMeter.
- Deployed to Amazon EC2 and the websit can be accessed via http://18.222.231.45/jupiter/