September 2015
Beginner to intermediate
608 pages
13h 43m
English
Content preview from Clojure for Data Science
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Item-based and user-based recommenders
Within the field of collaborative filtering, we can usefully make the distinction between two types of filtering—item-based and user-based recommenders. With item-based recommenders, we take a set of items that a user has already rated highly and look for other items that are similar. The process is visualized in the next diagram:
A recommender might recommend item B, based on the information presented in the diagram, since it's similar to two items that are already highly rated.
We can contrast this approach to the process of a user-based recommendation shown in the following diagram. A user-based recommendation ...
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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.