Building a Recommendation Engine with Scala Saleem A. Ansari
Publisher: Packt Publishing, Limited

I am trying to hack the scala-parallel-recommendation-engine from the example to work with my data. A recommendation engine that is both awesome and free. In this post, we'll discuss how to build a recommendation engine using Mahout. I am trying to build the Ecomm Reccom engine (PredictionIO/template-scala- parallel-ecommercerecommendation) and it is failing. Will cover how we can very easily build blog recommendation engine… might help people looking for end-to-end PredictionIO Java tutorial. In particular, I show how multi-modal recommendations can be built usi… Co- occurrence Based Recommendations with Mahout, Scala and Spark. The Apache Mahout™ project's goal is to build an environment for quickly are an environment for building scalable algorithms, many new Scala + Spark (H2O in their own math while providing some off-the-shelf algorithm implementations . This remains the best entry point into Mahout recommender engines of all These are the pieces from which you will build your own recommendation engine . C developer and then subsequently moving on to Perl, Ruby, PHP, and Java. Talk about how to build recommendation engines using common items. I'm building the recommendation engine that will use a lot of algorithms, heuristics, and machine learning. Further, this ID value must be numeric; it is a Java long type through the APIs. Can use entire user click streams and context in making recommendations. The ALS algorithm takes RDD[Rating] as training data input.