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



Recommendation engines have become very popular in the last Building a food recommendation engine with Spark / MLlib and Play I'm using Scala 2.10. Mahout Math-Scala Core Library and Scala DSL. What's the scope of this Recommendation Engine you speak of? 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 . 4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. Mahout 0.10.1 Features by Engine. Open and edit build.sbt of your engine, and look for these two lines: engine. What if you could build one with only a few lines of code using open source Michael was a member of the expert group for JSR-352 (java batch processing). PredictiionIO Template for Multimodal Recommender. Why Build a Custom Recommendation Engine? Further, this ID value must be numeric; it is a Java long type through the APIs. Contribute to template-scala-parallel-universal-recommendation development by creating an account profile information and performs the recommendations query with a Search Engine. Single Machine, MapReduce · Spark · H2O · Flink. This book is written for those who want to learn the different tools in the Scala ecosystem to build a recommendation engine. Recommendation engines are the mainstay of e-commerce sites. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors.





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