Java Programming: Build a Recommendation System

Java Programming: Build a Recommendation System


Computer Science

Electrical and Computer Engineering



4 weeks



Java Programming: Build a Recommendation System is the capstone project in the Java Programming and Software Engineering Fundamentals Specialization. In order to enroll in the capstone project, students must have passed all previous courses in the Specialization.

Ever wonder how Netflix decides what movies to recommend for you? Or how Amazon recommends books? We can get a feel for how it works by building a simplified recommender of our own!

In this capstone, you will show off your problem solving and Java programming skills by creating recommender systems. You will work with data for movies, including ratings, but the principles involved can easily be adapted to books, restaurants, and more. You will write a program to answer questions about the data, including which items should be recommended to a user based on their ratings of several movies.

Given input files on users ratings and movie titles, you will be able to:

  • Read in and parse data into lists and maps;
  • Calculate average ratings;
  • Calculate how similar a given rater is to another user based on ratings;
  • Recommend movies to a given user based on ratings; and
  • Display recommended movies for a given user on a webpage.


Owen Astrachan
Owen Astrachan

Professor of the Practice of Computer Science

Robert Duvall
Robert Duvall

Lecturer in the Department of Computer Science

Susan Rodger
Susan Rodger

Professor of the Practice Computer Science

Drew Hilton
Drew Hilton

Assistant Professor of the Practice in the Department of Electrical and Computer Engineering

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