Building scalable recommendation engines
DallasPHP.org
A crash course in building a scalable recommendation engines for practical use in php. Session will cover algorithms such as Naive Bayesian, Euclidian, and Pearson with practical examples of how to use them in your personal algorithm for recommending content to your users; while avoiding common mistakes and pitfalls when the need comes to scale.
Richardson, TX 75204 - USA
Tuesday, September 14 at 7:00 PM
Photo: http://photos2.meetupstatic.com/photos/event/8/f/7/a/event_10056730.jpeg
Attending: 12
Groups:














