Visual analysis of recommendation performance
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017•dl.acm.org
rrecsys is a novel library in R for developing and assessing recommendation algorithms. In
this demo, we extend rrecsys with functions for visual analytics of recommendation
performance, that is one of the strong capabilities of the R environment. In particular, we
show how the library can be used to depict dataset characteristics, train and test
recommendation algorithms and to visually assess, for instance, their capability to exploit
long-tail items for making correct predictions.
this demo, we extend rrecsys with functions for visual analytics of recommendation
performance, that is one of the strong capabilities of the R environment. In particular, we
show how the library can be used to depict dataset characteristics, train and test
recommendation algorithms and to visually assess, for instance, their capability to exploit
long-tail items for making correct predictions.
rrecsys is a novel library in R for developing and assessing recommendation algorithms. In this demo, we extend rrecsys with functions for visual analytics of recommendation performance, that is one of the strong capabilities of the R environment. In particular, we show how the library can be used to depict dataset characteristics, train and test recommendation algorithms and to visually assess, for instance, their capability to exploit long-tail items for making correct predictions.
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