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:
1. Read in and parse data into lists and maps;
2. Calculate average ratings;
3. Calculate how similar a given rater is to another user based on ratings; and
4. Recommend movies to a given user based on ratings.
5. Display recommended movies for a given user on a webpage.
このコースはJava Programming and Software Engineering Fundamentals の専門講座に属します。
Java Programming: Build a Recommendation System
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シラバス - 本コースの学習内容
週
11時間で修了
Introducing the Recommender
You will start out the capstone project by taking a look at the features of a recommender engine. Then you will choose how to read in and organize user, ratings, and movie data in your program. The programming exercise will provide a check on your progress before moving on to the next step.
2件のビデオ （合計13分）, 2 readings, 1 quiz
2件の学習用教材
Module Description / Resources10 分
Programming Exercise: Step One10 分
1の練習問題
Step One20 分
週
21時間で修了
Simple Recommendations
Your second step in building a recommender will focus on making simple recommendations based on the average ratings that a movie receives. You'll also make sure that each recommended movie has a least a minimal number of user ratings before including it in your recommendations. Throughout this step you are encouraged you use your knowledge of the seven step process to design useful algorithms and successful programs to solve the challenges you will face.
1件のビデオ （合計3分）, 2 readings, 1 quiz
1件のビデオ
2件の学習用教材
Module Description10 分
Programming Exercise: Step Two10 分
1の練習問題
Step Two20 分
週
31時間で修了
Interfaces, Filters, Database
In your third step, you will be encouraged to use interfaces to rewrite your existing code, making it more flexible and more efficient. You will also add filters to select a desired subset of movies that you want to recommend, such as 'all movies under two hours long' or 'all movies made in 2012'. You'll also make your recommendation engine more efficient as you practice software design principles such as refactoring.
1件のビデオ （合計8分）, 2 readings, 1 quiz
1件のビデオ
2件の学習用教材
Module Description10 分
Programming Exercise: Step Three10 分
1の練習問題
Step Three20 分
週
43時間で修了
Weighted Averages
In your fourth step, you will complete your recommendation engine by finding users in the database that have similar ratings and weighting their input to provide a more personal recommendation for the users of your program. Once you complete this step, you could request ratings of movies from those you know, run your program, and give them recommendations tailored to their own interests and tastes!
1件のビデオ （合計14分）, 2 readings, 2 quizzes
1件のビデオ
2件の学習用教材
Module Description10 分
Programming Exercise: Step Four10 分
1の練習問題
Step Four22 分
1分で修了
Farewell
Congratulations on completing your recommender programming project! As we conclude this capstone course, our instructors have a few parting words as you embark in future learning and work in computer science!
1件のビデオ （合計1分）
1件のビデオ
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人気のレビュー
I really like this approach to a final project. I learned a lot outside of the course by using a different, full-featured IDE and writing unit tests for my code. Pretty challenging!
Challenging, but I feel that I learned a lot about programming. I'm looking forward to the UCSD intermediate programming course.
講師
Robert Duvall
LecturerComputer Science
Owen Astrachan
Professor of the PracticeComputer Science
Andrew D. Hilton
Associate Professor of the PracticeElectrical and Computer Engineering
Susan H. Rodger
Professor of the PracticeComputer Science
デューク大学（Duke University）について
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
Java Programming and Software Engineering Fundamentalsの専門講座について
Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.
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