/Macaw

Event search and Ticket Recommendation System

Primary LanguageJava

Macaw

Event search and Ticket Recommendation System

Front End:

  • Developed an interactive web page for users to search events and purchase tickets (HTML, CSS and JavaScript, AJAX)
  • Improved personalized business recommendation based on search history and favorite records

Back End:

  • Created Java servlets with RESTful APIs to handle HTTP requests and responses
  • Used MySQL to store real business data from TicketMaster API and migrated to the NoSQL database (MongoDB) for better scalability.
  • Designed algorithms (e.g., content-based recommendation) to implement business recommendation
  • Deployed server-side to Amazon EC2 to handle 150 queries per second tested by Apache JMeter.