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

MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. Scala-parallel-recommendation-mongo-datasource. This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. This section is based on the Recommendation Engine Template. The Apache Mahout™ project's goal is to build an environment for quickly are an environment for building scalable algorithms, many new Scala + Spark (H2O in their own math while providing some off-the-shelf algorithm implementations . Mahout Scala and Spark Bindings: Bringing algebraic semantics Dmitriy Lyubimov 2014. Scala- parallel- Import sample data for recommendation engine. Build and Deploy Machine and data scientists to create predictive engines for production environments, with zero downtime training and deployment. How to Build a Recommendation Engine on Spark. Play Framework is the High Velocity Web Framework For Java and Scala. I'm building the recommendation engine that will use a lot of algorithms, heuristics, and machine learning. 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 . Co-occurrence-based recommendations with Mahout, Scala & Spark Sebastian Schelter How to Build a Recommendation Engine on Spark. Source tool for building a lecture videos recommendation system in JAVA? Can use entire user click streams and context in making recommendations. How do I go about building a recommendation engine for my Magento website? Spark MLlib enables building recommendation models from billions of records in just a few lines of Python (Scala/Java APIs also available). The input data to this recommender should be my existing bookmark library.