Retour à Java Programming: Build a Recommendation System
Avis et commentaires pour d'étudiants pour Java Programming: Build a Recommendation System par Université Duke
580 évaluations
À propos du cours
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.
Meilleurs avis
ER
1 nov. 2021
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
18 févr. 2016
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!
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101 - 103 sur 103 Avis pour Java Programming: Build a Recommendation System
par Tanveer S
•27 janv. 2022
No use hopeless course i wasted my time in this course hope coursera take action in this course
par Carlo T
•15 oct. 2021
Tutors are not around and found it difficult to complete the capstone project
par Артем Р А
•8 janv. 2021
useless and unprofessional
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