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


The second is about building and using the recommender and persisting it for later use in our on-line recommender system. Scala-parallel-recommendation-custom-datasource Import sample data for E-Commerce Recommendation Engine Template. The ALS algorithm takes RDD[Rating] as training data input. Further, this ID value must be numeric; it is a Java long type through the APIs. The input data to this recommender should be my existing bookmark library. Personalized recommendations are ubiquitous in social network and on what's know as Collaborative Filtering is not that difficult to build. Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. You will need: Scala 2.10+; Play Framework; MongoDB. This demo explains how to use a basic dataset of Actors acting in Movies to create recommendations with a graph database. Building Blackbeard: A Syndication System Powered By Play, Scala and that's been done to revamp our article recommendation algorithm. Learn to use Scala to build a recommendation engine from scratch and empower your website users. 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 . In Part 2, learn about some open source recommendation engines LinkedIn uses Apache Hadoop to build its specialized collaborative-filtering capabilities. Full implementation of my Hadoop based recommendation engine sifarish is hosted on github.





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