Loading...

Recommender systems overview

Course video 74 of 117

Ever wonder how Amazon forms its personalized product recommendations? How Netflix suggests movies to watch? How Pandora selects the next song to stream? How Facebook or LinkedIn finds people you might connect with? Underlying all of these technologies for personalized content is something called collaborative filtering. <p>You will learn how to build such a recommender system using a variety of techniques, and explore their tradeoffs.</p> One method we examine is matrix factorization, which learns features of users and products to form recommendations. In an iPython notebook, you will use these techniques to build a real song recommender system.

华盛顿大学
4.6(8,497 個評分) | 190K 名學生已註冊
課程 1(共 4 門,机器学习 專項課程

關於 Coursera

課程、專項課程和在線學位均由全世界一流大學和教育機構的頂尖授課教師教授。

Community
Join a community of 40 million learners from around the world
Certificate
Earn a skill-based course certificate to apply your knowledge
Career
Gain confidence in your skills and further your career