Recommender systems, Part 2: Introducing open source engines

Part 1 of this series introduces the basic approaches and algorithms for
the construction of recommendation engines. This concluding installment
explores some open source solutions for building recommendation systems and
demonstrates the use of two of them. The author also shows how to develop a
simple clustering application in Ruby and apply it to sample data.


Original URL: http://www.ibm.com/developerworks/opensource/library/os-recommender2/index.html?ca=drs-

Original article

Comments are closed.

Proudly powered by WordPress | Theme: Baskerville 2 by Anders Noren.

Up ↑

%d bloggers like this: