From the course: Machine Learning and AI Foundations: Recommendations
Join today to access over 22,600 courses taught by industry experts or purchase this course individually.
A simple way to predict missing user ratings
From the course: Machine Learning and AI Foundations: Recommendations
A simple way to predict missing user ratings
- [Instructor] If we can fill in all the blanks in our user review matrix, we'll know how each user would rate each movie. Then, we can use that information to recommend movies that are highly rated. Let's learn how to complete this matrix by hand, assuming we have extra information about each user and each movie. This will teach us the basic idea that we'll use to calculate each user's interest in each movie. To understand how to predict a user's rating, let's think about how someone decides what rating to give a movie. Every human is unique. There's probably no way to completely understand the thought process that went into a certain rating. So let's assume that a user's rating is a reflection of how much a particular movie appeals to that user's unique set of interests. This gives us a way to calculate a user's rating. First, we'll create a model of how much a movie would appeal to every possible interest. Then, we'll make a model of a user's specific interests. Finally, we can…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.