Building a Recommendation Engine with Scala by Saleem A. Ansari

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

Playing with OpenCV in Scala to do face detection with Haarcascade classifier using a Building a food recommendation engine with Spark / MLlib and Play. How to Build a Recommendation Engine on Spark. Can use entire user click streams and context in making recommendations. README.md Distributed Recommendation Engine with RDD-based Model using MLlib's ALS. The input data to this recommender should be my existing bookmark library. 4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. 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 . Mahout Scala and Spark Bindings: Bringing algebraic semantics Dmitriy Lyubimov 2014. This demo explains how to use a basic dataset of Actors acting in Movies to create recommendations with a graph database. 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 . Occured while trying to build recommendation engine of PredictionIO in Linux machine. 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. 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. Spark MLlib enables building recommendation models from billions of records in just a few lines of Python (Scala/Java APIs also available). Everything works, building completes successfully.