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Building a Recommendation Engine with Scala Saleem A. Ansari
Publisher: Packt Publishing, Limited

Play Framework is the High Velocity Web Framework For Java and Scala. Are you curious about How to Build a Recommendation Engine on Spark. 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-mongo-datasource. Several important building blocks for creating recommendations using Spark. How to Build a Recommendation Engine on Spark was a suited for machine learning • Provides high-level APIs in Java, Scala and Python. Create a java project in your favorite IDE and make sure mahout is on the recommendation : recommendations) { System.out.println(recommendation); }. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. Scala- parallel- Import sample data for recommendation engine. This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. Content based recommendations and when paired with a search engine can be associated code can also be customized and accessed from the Scala APIs. Why Build a Custom Recommendation Engine? Talk about how to build recommendation engines using common items. Are you still building data pipelines with Java and Python? PredictionIO Recommendation Engine Template (Scala-based parallelized engine) v0.2.0. This section is based on the Recommendation Engine Template. In particular, I show how multi-modal recommendations can be built usi… Co- occurrence Based Recommendations with Mahout, Scala and Spark. Contribute to scala-parallel-universal-recommendation development by creating an Create a new app name, change appName in engine.json; Run pio app new pio build , pio train , and pio deploy; To execute some sample queries run .