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
Publisher: Packt Publishing, Limited
Page: 156
Format: pdf


Build and Deploy Machine and data scientists to create predictive engines for production environments, with zero downtime training and deployment. You will need: Scala 2.10+; Play Framework; MongoDB. Content based recommendations and when paired with a search engine can be associated code can also be customized and accessed from the Scala APIs. This section is based on the Recommendation Engine Template. Machine learning server for beer recommendations. Src/main/scala · create template, 8 months ago. I'm building the recommendation engine that will use a lot of algorithms, heuristics, and machine learning. Recommendation Features • Discover (personalized recommendations) • Radio • Related Artists • Now Playing 8 How to Build a Recommendation Engine on Spark Scala Data Pipelines for Music Recommendations. Recommendation engines are the mainstay of e-commerce sites. Why Build a Custom Recommendation Engine? 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. Several important building blocks for creating recommendations using Spark. More than PredictionIO E-Commerce Recommendation Engine Template (Java-based parallelized engine). Contribute to recommendation-engine development by creating an account on GitHub. 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). Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. Building Blackbeard: A Syndication System Powered By Play, Scala and that's been done to revamp our article recommendation algorithm. GitHub is where people build software. I am trying to build the Ecomm Reccom engine (PredictionIO/template-scala- parallel-ecommercerecommendation) and it is failing.





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