November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Designing the content-based recommendation engine
To rewrite our customer requirements in plain English: When a customer browses a particular article, what other articles should we suggest to him?
Let's quickly recap how a content-based recommendation engine works. When a user is browsing a product or item, we need to provide recommendations to the user in the form of other products or items from our catalog. We can use the properties of the items to come up with the recommendations. Let's translate this to our use case.
Items in our case, are news articles.
The properties of a news article are as follows:
- Its content, stored in a text column
- The publisher--who published the article
- The category to which the article belongs
So when a user ...
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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.