Algorithms and architecture for job recommendations via @OReilly

Algorithms and architecture for job recommendations by Preetha Appan via @Oreilly - With 200 million unique visitors every month, Indeed.com relies on a recommendation engine that processes billions of input signals every day. Preetha Appan describes the evolution of the recommendation engine, from the initial minimum viable product built with Apache Mahout to a hybrid offline and online machine learning pipeline and describes the incremental modifications to algorithms, system architecture, and model format required.

Very interesting and related to your own situation if you are about to go down that route.