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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

Download eBook

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

Why Build a Custom Recommendation Engine? Scala-parallel-recommendation-custom-datasource Import sample data for E-Commerce Recommendation Engine Template. GitHub is where people build software. I have yet to see a personal recommendation engine that suggests a written as SPA with the Backbone framework and a Scala backend. This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. Recommendation engines are the mainstay of e-commerce sites. What if you could build one with only a few lines of code using open source Michael was a member of the expert group for JSR-352 (java batch processing). Can use entire user click streams and context in making recommendations. Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. Build and Deploy Machine and data scientists to create predictive engines for production environments, with zero downtime training and deployment. More than PredictionIO E-Commerce Recommendation Engine Template (Java-based parallelized engine). You will need: Scala 2.10+; Play Framework; MongoDB. 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 .

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