July 2018
Intermediate to advanced
334 pages
8h 20m
English
Content preview from Modern Scala Projects
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Implicit recommendations
A good example of such data is implicit information, such as user preferences, their clicks, browsing history, purchase history, search terms, and so on.
This scenario represents an example of an implicit feedback-based recommendation system at work. The key characteristic of such a system is this—what did the user do? Some examples of implicit user feedback, in reference to a user on Amazon, is—what did the user buy? What book did they click on? What was their search phrase? All of these questions bear answers that reflect on a user's behavior. That said, we will get right down to a problem formulation phase, where we will document what is needed to build a recommendation problem with collaborative filtering. Whether ...
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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.