Building a Recommendation Engine with Scala by Saleem A. Ansari

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

4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. In this post, we'll discuss how to build a recommendation engine using Mahout. 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. The second is about building and using the recommender and persisting it for later use in our on-line recommender system. Scala-parallel-recommendation-mongo-datasource. 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 . Spark-recommender - Scalable recommendation system written in Scala using the Apache Spark Spark Recommender is built with Simple Build Tool (SBT). 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). PredictiionIO Template for Multimodal Recommender. C developer and then subsequently moving on to Perl, Ruby, PHP, and Java. 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. Scala- parallel- Import sample data for recommendation engine. 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 .