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Building a Recommendation Engine with Scala by Saleem A. Ansari

Building a Recommendation Engine with Scala Saleem A. Ansari ebook
ISBN: 9781785282584
Publisher: Packt Publishing, Limited
Page: 156
Format: pdf

Recommendation engines are the mainstay of e-commerce sites. Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. Examples/experimental/scala-parallel-friend-recommendation/engine-forest.json build.sbt. Is an open source machine learning server application written in Scala. 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). MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. You will need: Scala 2.10+; Play Framework; MongoDB. This Recommendation Engine Template has integrated Apache Spark MLlib's Collaborative pio template get PredictionIO/template-scala-parallel- recommendation Now you can build, train, and deploy the engine. Scala-parallel-recommendation-cat. Very easily build blog recommendation engine using PredictionIO. PredictiionIO Template for Multimodal Recommender. This book is written for those who want to learn the different tools in the Scala ecosystem to build a recommendation engine.