Building a Recommendation Engine with Scala by Saleem A. Ansari

Building a Recommendation Engine with Scala



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


In this post, we'll discuss how to build a recommendation engine using Mahout. C developer and then subsequently moving on to Perl, Ruby, PHP, and Java. Discover (personalized recommendations) • Radio • Related Artists How can we find good recommendations? Random Learnings 56 •Kryo serialization faster than java How to Build a Recommendation Engine on Spark. 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 . Create a java project in your favorite IDE and make sure mahout is on the recommendation : recommendations) { System.out.println(recommendation); }. 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. Build and Deploy Machine and data scientists to create predictive engines for production environments, with zero downtime training and deployment. The second is about building and using the recommender and persisting it for later use in our on-line recommender system. Play Framework is the High Velocity Web Framework For Java and Scala.





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