Building a Recommendation Engine with Scala. Saleem A. Ansari

Building a Recommendation Engine with Scala


Building.a.Recommendation.Engine.with.Scala.pdf
ISBN: 9781785282584 | 156 pages | 4 Mb


Download Building a Recommendation Engine with Scala



Building a Recommendation Engine with Scala Saleem A. Ansari
Publisher: Packt Publishing, Limited



Recently we've been implementing a recommender system for Yap. What's the scope of this Recommendation Engine you speak of? Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. This demo explains how to use a basic dataset of Actors acting in Movies to create recommendations with a graph database. Learn to use Scala to build a recommendation engine from scratch and empower your website users. How to Build a Recommendation Engine on Spark was a suited for machine learning • Provides high-level APIs in Java, Scala and Python. Scala- parallel- Import sample data for recommendation engine. Scala-parallel-recommendation-mongo-datasource. Will cover how we can very easily build blog recommendation engine… might help people looking for end-to-end PredictionIO Java tutorial. You will need: Scala 2.10+; Play Framework; MongoDB.





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