Tuesday 29th May, 2012
4:00pm to 4:45pm
Recommendation engines have changed a lot during the last years and the last big change is NoSQL, especially Graph Databases. With this presentation we intend to show how to build a Graph Processing technology, based on our experience in doing that for environments like Digital Libraries and Movies and Digital Media.
First, we will introduce the state of the art on context aware Recommendation Engines, with special interest on how people are using Graph Processing, NoSQL, systems to scale this kind of solutions. After an introduction to the ecosystem, the next step is to have something to work with. So we will show the audience how to build a Recommendation Engine with a few steps.
The demonstration part will be made using the next technology stack: Sinatra as a simple web framework. Ruby as a programming language. OrientDB, Neo4j, Redis, etc. as a NoSQL technology stack. The result of our demonstration will be a simple engine, accessible through a REST API, to play and extend, so that attendants can learn by doing.
In the end our audience will have a full introduction to the field of Recommendation Engines, with special interest on Graph Processing, NoSQL, systems. Based on our experience making this technology for large scale architectures, we think the best way to learn this is by doing it and having an example to play with.
#dadops with touches of #data and #software #architecture in between #berlin and #barcelona. Longer thoughts to be found at https://medium.com/@purbon/ bio from Twitter
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