Building a Recommendation Engine with Scala by Saleem A. Ansari

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

This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. Open and edit build.sbt of your engine, and look for these two lines: engine. 25 commits · 2 branches · 6 releases · Fetching contributors v0.2.0. Random Learnings 56 •Kryo serialization faster than java How to Build a Recommendation Engine on Spark. Are you curious about How to Build a Recommendation Engine on Spark. Second I will talk about Recommender Algorithm to be deduced… Rumblings by a Java guy on Java, Clojure, Scala and Groovy. Play Framework is the High Velocity Web Framework For Java and Scala. Menu The first step using this data is to build an item co-occurrence matrix. Are you still building data pipelines with Java and Python? Discover (personalized recommendations) • Radio • Related Artists How can we find good recommendations? PredictionIO E-Commerce Recommendation Engine Template (Scala-based parallelized engine). Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. You will need: Scala 2.10+; Play Framework; MongoDB. 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.