Building a Recommendation Engine with Scala by Saleem A. Ansari

Building a Recommendation Engine with Scala



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


In Part 2, learn about some open source recommendation engines LinkedIn uses Apache Hadoop to build its specialized collaborative-filtering capabilities. This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. 4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. Why Build a Custom Recommendation Engine? 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 . 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 . Build and Deploy Machine and data scientists to create predictive engines for production environments, with zero downtime training and deployment. And Jill, who both read several articles about Java™ and agile. How do I go about building a recommendation engine for my Magento website? README.md Distributed Recommendation Engine with RDD-based Model using MLlib's ALS. I'm building the recommendation engine that will use a lot of algorithms, heuristics, and machine learning. PredictionIO E-Commerce Recommendation Engine Template (Scala-based parallelized engine). Content based recommendations and when paired with a search engine can be associated code can also be customized and accessed from the Scala APIs. Source tool for building a lecture videos recommendation system in 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. Playing with OpenCV in Scala to do face detection with Haarcascade classifier using a Building a food recommendation engine with Spark / MLlib and Play. Several important building blocks for creating recommendations using Spark. 25 commits · 2 branches · 6 releases · Fetching contributors v0.2.0. Further, this ID value must be numeric; it is a Java long type through the APIs. PredictiionIO Template for Multimodal Recommender.





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