November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Collaborative filtering
Given a user rating matrix, where several users have rated several products, the goal of collaborative filtering is as follows:
- Predict the ratings for all products unknown to the user
- Produce the ratings for the top-n list of products unknown to the user
The underlying premise of the collaborative filtering algorithm is that if two users agree on ratings for a large set of items, they may tend to agree for other items too. Let us use a small R code snippet to explain this concept. Assume we have seven products (A, B, C, D, E, F, G) and two users (user.a and user.b). We also have the ratings provided by both of the users for some of the products. The ratings are range of numbers from 1 to 5, with 1 indicating a ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.