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Personalized Restaurants Recommendation Engine

Java Web Service Development – Event Search and Ticket Recommendation

Front End: Developed an interactive web page for users to search and book restaurants (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 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: https://jsbin.com/himihamowe/edit?output

Web page shortcut: 2451611709455_ pic_hd