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
Publisher: Packt Publishing, Limited
Page: 156
ISBN: 9781785282584
Format: pdf


Recommender systems are quite popular among shopping sites and social network thee days. Spark MLlib enables building recommendation models from billions of records in just a few lines of Python (Scala/Java APIs also available). Networks are enough information to build a recommendation engine would be to create a java Combiner to aggregate the. 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. PredictionIO recommendation engine template (Scala-based parallelized engine ) pio build. Mahout Math-Scala Core Library and Scala DSL. Mahout 0.10.1 Features by Engine. Create a java project in your favorite IDE and make sure mahout is on the recommendation : recommendations) { System.out.println(recommendation); }. This engine template provides personalized recommendation for e-commerce pio template get PredictionIO/template-scala-parallel- ecommercerecommendation Building. Learn to use Scala to build a recommendation engine from scratch and empower your website users. 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 . Start with building your MyECommerceRecommendation engine. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. Single Machine, MapReduce · Spark · H2O · Flink. PredictionIO Recommendation Engine Template (Scala-based parallelized engine) v0.2.0.





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