Building a Recommendation Engine with Scala by Saleem A. Ansari

Building a Recommendation Engine with Scala



Download Building a Recommendation Engine with Scala

Building a Recommendation Engine with Scala Saleem A. Ansari ebook
Format: pdf
Publisher: Packt Publishing, Limited
ISBN: 9781785282584
Page: 156


README.md Distributed Recommendation Engine with RDD-based Model using MLlib's ALS. PredictionIO Recommendation Engine Template (Scala-based parallelized engine) v0.2.0. In particular, I show how multi-modal recommendations can be built usi… Co- occurrence Based Recommendations with Mahout, Scala and Spark. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. 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. A recommendation engine that is both awesome and free. This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. 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 section is based on the Recommendation Engine Template. 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 . Talk about how to build recommendation engines using common items.





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