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!
이 강좌는 Java Programming and Software Engineering Fundamentals 특화 과정의 일부입니다.
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자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 영어, 스페인어
귀하가 습득할 기술
- Data Structure
- Interfaces
- Software Design
- Java Programming
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 5번째 강좌:
중급 단계
완료하는 데 약 5시간 필요
영어
자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 영어, 스페인어
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강의 계획표 - 이 강좌에서 배울 내용
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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.
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2개 동영상 (총 13분), 2 개의 읽기 자료, 1 개의 테스트
완료하는 데 1시간 필요
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.
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1개 동영상 (총 3분), 2 개의 읽기 자료, 1 개의 테스트
완료하는 데 1시간 필요
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.
완료하는 데 1시간 필요
1개 동영상 (총 8분), 2 개의 읽기 자료, 1 개의 테스트
완료하는 데 2시간 필요
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!
완료하는 데 2시간 필요
1개 동영상 (총 14분), 2 개의 읽기 자료, 2 개의 테스트
완료하는 데 1분 필요
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!
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1개 동영상 (총 1분)
검토
JAVA PROGRAMMING: BUILD A RECOMMENDATION SYSTEM의 최상위 리뷰
SJ 제공2019년 10월 20일
Wonderful course learned a lot by making a recommendation system...but some assignments are bit hard to understand what they want from you but everything else is fine. Everyone must take this course
ER 제공2021년 11월 1일
I really enjoyed this course, it was fantastic, the lecturers explained well. Please come and enroll for this course, it was great and there was alot of interaction between other learners
GW 제공2016년 2월 18일
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!
JP 제공2020년 6월 2일
It’s a great project requiring good application of java. Some steps were hard to follow but understood them after some time. A good project to end a specialisation course. Cheers.
Java Programming and Software Engineering Fundamentals 특화 과정 정보
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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