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 demo explains how to use a basic dataset of Actors acting in Movies to create recommendations with a graph database. Is an open source machine learning server application written in Scala. This remains the best entry point into Mahout recommender engines of all These are the pieces from which you will build your own recommendation engine . Further, this ID value must be numeric; it is a Java long type through the APIs. A recommendation engine that is both awesome and free. PredictiionIO Template for Multimodal Recommender. Contribute to template-scala-parallel-universal-recommendation development by creating an account profile information and performs the recommendations query with a Search Engine. Very easily build blog recommendation engine using PredictionIO. Why Build a Custom Recommendation Engine? PredictionIO Recommendation Engine Template (Scala-based parallelized engine) v0.2.0. This book is written for those who want to learn the different tools in the Scala ecosystem to build a recommendation engine. More than PredictionIO E-Commerce Recommendation Engine Template (Java-based parallelized engine). I am trying to build the Ecomm Reccom engine (PredictionIO/template-scala- parallel-ecommercerecommendation) and it is failing. 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 . GitHub is where people build software.