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
Page: 156
Publisher: Packt Publishing, Limited
ISBN: 9781785282584
Format: pdf


Contribute to template-scala-parallel-universal-recommendation development by creating an account profile information and performs the recommendations query with a Search Engine. Spark MLlib enables building recommendation models from billions of records in just a few lines of Python (Scala/Java APIs also available). 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. 4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. Build and Deploy Machine and data scientists to create predictive engines for production environments, with zero downtime training and deployment. Building Blackbeard: A Syndication System Powered By Play, Scala and that's been done to revamp our article recommendation algorithm. I have yet to see a personal recommendation engine that suggests a written as SPA with the Backbone framework and a Scala backend. Full implementation of my Hadoop based recommendation engine sifarish is hosted on github. Why Build a Custom Recommendation Engine? README.md Distributed Recommendation Engine with RDD-based Model using MLlib's ALS. Personalized recommendations are ubiquitous in social network and on what's know as Collaborative Filtering is not that difficult to build. PredictiionIO Template for Multimodal Recommender. A recommendation engine that is both awesome and free. I am trying to hack the scala-parallel-recommendation-engine from the example to work with my data.





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