Building a Recommendation Engine with Scala. Saleem A. Ansari

Building a Recommendation Engine with Scala


Building.a.Recommendation.Engine.with.Scala.pdf
ISBN: 9781785282584 | 156 pages | 4 Mb


Download Building a Recommendation Engine with Scala



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



Contribute to scala-parallel-universal-recommendation development by creating an Create a new app name, change appName in engine.json; Run pio app new pio build , pio train , and pio deploy; To execute some sample queries run . Contribute to template-scala-parallel-universal-recommendation development by creating an account profile information and performs the recommendations query with a Search Engine. This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. You will need: Scala 2.10+; Play Framework; MongoDB. Can use entire user click streams and context in making recommendations. Scala-parallel-recommendation-cat. Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. Examples/experimental/scala-parallel-friend-recommendation/engine-forest.json build.sbt. PredictiionIO Template for Multimodal Recommender. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. The ALS algorithm takes RDD[Rating] as training data input. This demo explains how to use a basic dataset of Actors acting in Movies to create recommendations with a graph database.

  • For How do you run Mahout's recommendation engine? 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 .





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