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Building a Recommendation Engine with Scala book

Building a Recommendation Engine with Scala book

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



PredictiionIO Template for Multimodal Recommender. 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 0.10.1 Features by Engine. This demo explains how to use a basic dataset of Actors acting in Movies to create recommendations with a graph database. Single Machine, MapReduce · Spark · H2O · Flink. Spark MLlib enables building recommendation models from billions of records in just a few lines of Python (Scala/Java APIs also available). Play Framework is the High Velocity Web Framework For Java and Scala. PredictionIO E-Commerce Recommendation Engine Template (Scala-based parallelized engine). 25 commits · 2 branches · 6 releases · Fetching contributors v0.2.0. Mahout Math-Scala Core Library and Scala DSL. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. Examples/experimental/scala-parallel-friend-recommendation/engine-forest.json build.sbt. 4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. Scala-parallel-recommendation-cat.





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