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


Mahout 0.10.1 Features by Engine. README.md Distributed Recommendation Engine with RDD-based Model using MLlib's ALS. Menu The first step using this data is to build an item co-occurrence matrix. Recently we've been implementing a recommender system for Yap. Second I will talk about Recommender Algorithm to be deduced… Rumblings by a Java guy on Java, Clojure, Scala and Groovy. I am trying to build the Ecomm Reccom engine (PredictionIO/template-scala- parallel-ecommercerecommendation) and it is failing. This book is written for those who want to learn the different tools in the Scala ecosystem to build a recommendation engine. Spark MLlib enables building recommendation models from billions of records in just a few lines of Python (Scala/Java APIs also available). Mahout Math-Scala Core Library and Scala DSL. Examples/experimental/scala-parallel-friend-recommendation/engine-forest.json build.sbt. Single Machine, MapReduce · Spark · H2O · Flink. This demo explains how to use a basic dataset of Actors acting in Movies to create recommendations with a graph database. Does anyone have any recommendations on build toold for creating small protoptype projects in Scala. PredictionIO/template-scala-parallel-universal-recommendation Create a new app name, change appName in engine.json; Run pio app new in step #2; Perform pio build , pio train , and pio deploy; To execute some sample queries run . Scala-parallel-recommendation-cat. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors.





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