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


This book is written for those who want to learn the different tools in the Scala ecosystem to build a recommendation engine. PredictionIO Recommendation Engine Template (Scala-based parallelized engine) v0.2.0. Spark MLlib enables building recommendation models from billions of records in just a few lines of Python (Scala/Java APIs also available). Further, this ID value must be numeric; it is a Java long type through the APIs. 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 . PredictionIO E-Commerce Recommendation Engine Template (Scala-based parallelized engine). PredictionIO/template-scala-parallel-universal-recommendation Create a new app name, change appName in engine.json; Run pio app new in step #2; Perform pio build , pio train , and pio deploy; To execute some sample queries run . I am trying to hack the scala-parallel-recommendation-engine from the example to work with my data. This section is based on the Recommendation Engine Template. Recommendation Features • Discover (personalized recommendations) • Radio • Related Artists • Now Playing 8 How to Build a Recommendation Engine on Spark Scala Data Pipelines for Music Recommendations. This Recommendation Engine Template has integrated Apache Spark MLlib's Collaborative pio template get PredictionIO/template-scala-parallel- recommendation Now you can build, train, and deploy the engine. 25 commits · 2 branches · 6 releases · Fetching contributors v0.2.0. Posts about scala written by chimpler. Building a food recommendation engine with Spark / MLlib and Play.





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