Aims to use personalization to improve Event Search and Ticket Recommendation.
Designed an interactive web page for users to search events and purchase tickets utilizing AJAX technology (HTML/JavaScript); Created Java servlets with RESTful APIs to handle HTTP requests and responses; Built relational and NoSQL databases (MySQL, MongoDB) to capture event data from TicketMaster API; Designed algorithms (e.g., content-based recommendation) to implement event recommendation; Deployed server to Amazon EC2 to handle 150 queries per second tested by Apache JMeter.
- TicketMaster - TicketMaster API
- Fork it (https://github.com/ShawnXxy/TicketPlus)
- Create your feature branch (
git checkout -b feature/fooBar
) - Commit your changes (
git commit -am 'Add some fooBar'
) - Push to the branch (
git push origin feature/fooBar
) - Create a new Pull Request
- Xiangyu Xiao - Initial work - ShawnX