A recommendation engine for your applications


Nowadays a lot of websites try to guess what we could like: "Recommendation for you in books" "People you may like" Sounds familiar, isn't it? Wouldn't be cool if you could do the same in your application? Well, this session is for you! In the first part of this talk recommendation systems will be introduced, focusing on collaborative filtering algorithms (CR). After that we'll dive in Prediction.io, an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

Language: English

Level: Intermediate

Michele Orselli

CTO -- Ideato

Software engineer, working with PHP since 2005 and now CTO at Ideato. I have broad interests in several aspects of software development like automation, quality and testing. I'm co-author of "PHP Best Practices", published by FAG in 2012. Serial speaker @phpday, you can find some of my talks on https://joind.in/user/view/188

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