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
ISBN: 9781785282584
Format: pdf
Page: 156


Contribute to recommendation-engine development by creating an account on GitHub. Occured while trying to build recommendation engine of PredictionIO in Linux machine. And Jill, who both read several articles about Java™ and agile. 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 . This book is written for those who want to learn the different tools in the Scala ecosystem to build a recommendation engine. Machine learning server for beer 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. Discover (personalized recommendations) • Radio • Related Artists How can we find good recommendations? Several important building blocks for creating recommendations using Spark. Content based recommendations and when paired with a search engine can be associated code can also be customized and accessed from the Scala APIs. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. Random Learnings 56 •Kryo serialization faster than java How to Build a Recommendation Engine on Spark. Further, this ID value must be numeric; it is a Java long type through the APIs. GitHub is where people build software. Does anyone have any recommendations on build toold for creating small protoptype projects in Scala. Src/main/scala · create template, 8 months ago. In Part 2, learn about some open source recommendation engines LinkedIn uses Apache Hadoop to build its specialized collaborative-filtering capabilities. More than PredictionIO E-Commerce Recommendation Engine Template (Java-based parallelized engine). Everything works, building completes successfully. Recently we've been implementing a recommender system for Yap.





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