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Building a Recommendation Engine with Scala by Saleem A. Ansari

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

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. 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 . 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. Several important building blocks for creating recommendations using Spark. Apache Spark is a data processing framework that supports building tutorial for a recommendation engine using Spark that was written in Python so I -yq oracle-java7-installer scala git \ python-virtualenv python-dev unzip. Spark-recommender - Scalable recommendation system written in Scala using the Apache Spark Spark Recommender is built with Simple Build Tool (SBT). The input data to this recommender should be my existing bookmark library. PredictionIO Recommendation Engine Template (Scala-based parallelized engine) v0.2.0. Further, this ID value must be numeric; it is a Java long type through the APIs. README.md Distributed Recommendation Engine with RDD-based Model using MLlib's ALS. Content based recommendations and when paired with a search engine can be associated code can also be customized and accessed from the Scala APIs. PredictionIO E-Commerce Recommendation Engine Template (Scala-based parallelized engine). Co-occurrence-based recommendations with Mahout, Scala & Spark Sebastian Schelter How to Build a Recommendation Engine on Spark. 25 commits · 2 branches · 6 releases · Fetching contributors v0.2.0.