November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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User-based models
We discussed the the user-based model in the previous sections. Let us do a quick recap here. The user-based model for collaborative filtering tries to mimic the word-of-mouth approach in marketing. It is a memory-based model. The premise of this algorithm is that similar users will have a similar taste in jokes. Therefore, they will rate jokes in a more or less similar manner. It's a two-step process, in the first step for a given user, the algorithm finds his neighbors. A similarity distance measure, such as Pearson coefficient, or cosine distance, is used to find the neighbors for a given user. For an item not rated by the user, we look at whether the user's neighbors have rated that item. If they have rated an average ...
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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.