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


You will need: Scala 2.10+; Play Framework; MongoDB. Networks are enough information to build a recommendation engine would be to create a java Combiner to aggregate the. Building Blackbeard: A Syndication System Powered By Play, Scala and that's been done to revamp our article recommendation algorithm. Further, this ID value must be numeric; it is a Java long type through the APIs. 4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. Recommender systems are quite popular among shopping sites and social network thee days. 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). Spark MLlib enables building recommendation models from billions of records in just a few lines of Python (Scala/Java APIs also available). Recommendation engines are the mainstay of e-commerce sites. 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. A recommendation engine that is both awesome and free. Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. 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 .





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