Building a Recommendation Engine with Scala by Saleem A. Ansari

Building a Recommendation Engine with Scala



Download Building a Recommendation Engine with Scala

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


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 . In particular, I show how multi-modal recommendations can be built usi… Co- occurrence Based Recommendations with Mahout, Scala and Spark. Is an open source machine learning server application written in Scala. The second is about building and using the recommender and persisting it for later use in our on-line recommender system. Very easily build blog recommendation engine using PredictionIO. Can use entire user click streams and context in making recommendations. Why Build a Custom Recommendation Engine? This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. This book is written for those who want to learn the different tools in the Scala ecosystem to build a recommendation engine. A recommendation engine that is both awesome and free. Talk about how to build recommendation engines using common items. How to Build a Recommendation Engine on Spark was a suited for machine learning • Provides high-level APIs in Java, Scala and Python. Contribute to template-scala-parallel-universal-recommendation development by creating an account profile information and performs the recommendations query with a Search Engine. This demo explains how to use a basic dataset of Actors acting in Movies to create recommendations with a graph database. Recently we've been implementing a recommender system for Yap. PredictiionIO Template for Multimodal Recommender. Building Blackbeard: A Syndication System Powered By Play, Scala and that's been done to revamp our article recommendation algorithm.





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