July 2018
Beginner to intermediate
146 pages
3h 39m
English
Content preview from Hands-On Recommendation Systems with Python
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User-based filtering
The main idea behind user-based filtering is that if we are able to find users that have bought and liked similar items in the past, they are more likely to buy similar items in the future too. Therefore, these models recommend items to a user that similar users have also liked. Amazon's Customers who bought this item also bought is an example of this filter, as shown in the following screenshot:
Imagine that Alice and Bob mostly like and dislike the same video games. Now, imagine that a new video game has been launched on the market. Let's say Alice bought the game and loved it. Since we have discerned that their tastes ...
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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.
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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.