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EventRecommendation

An interactive web page for users to search events and purchase tickets (HTML, CSS and JavaScript)
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
Built relational and NoSQL databases (MySQL, MongoDB) to capture real business data from TicketMaster API
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.
Front End:
Designed an interactive web page utilizing AJAX technology (HTML, CSS and JavaScript)