November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Popular approach
This is a very simple strategy where the recommendations are based on the item popularity. Among the products not rated by a user, the most popular ones among all the users are suggested as recommendations.
There are several other implementations of the recommendation model available in this package.
To get a list of the available recommendation models, apply the following:
> recommenderRegistry$get_entries(dataType = "binaryRatingMatrix")$ALS_implicit_binaryRatingMatrixRecommender method: ALS_implicit for binaryRatingMatrixDescription: Recommender for implicit data based on latent factors, calculated by alternating least squares algorithm.Reference: Yifan Hu, Yehuda Koren, Chris Volinsky (2008). Collaborative Filtering for ...
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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.