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Building a Recommendation Engine with Scala book

Building a Recommendation Engine with Scala by Saleem A. Ansari

Building a Recommendation Engine with Scala



Building a Recommendation Engine with Scala pdf download

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


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. Scala-parallel-recommendation-custom-datasource Import sample data for E-Commerce Recommendation Engine Template. Open and edit build.sbt of your engine, and look for these two lines: engine. PredictionIO Recommendation Engine Template (Scala-based parallelized engine) v0.2.0. Several important building blocks for creating recommendations using Spark. Build and Deploy Machine and data scientists to create predictive engines for production environments, with zero downtime training and deployment. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. The second is about building and using the recommender and persisting it for later use in our on-line recommender system. 4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. 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 . I am trying to hack the scala-parallel-recommendation-engine from the example to work with my data. I am trying to build the Ecomm Reccom engine (PredictionIO/template-scala- parallel-ecommercerecommendation) and it is failing. Content based recommendations and when paired with a search engine can be associated code can also be customized and accessed from the Scala APIs.





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