Building a Recommendation Engine with Scala Saleem A. Ansari
Publisher: Packt Publishing, Limited

What's the scope of this Recommendation Engine you speak of? The second is about building and using the recommender and persisting it for later use in our on-line recommender system. Spark-recommender - Scalable recommendation system written in Scala using the Apache Spark Spark Recommender is built with Simple Build Tool (SBT). Contribute to template-scala-parallel-universal-recommendation development by creating an account profile information and performs the recommendations query with a Search Engine. Menu The first step using this data is to build an item co-occurrence matrix. Does anyone have any recommendations on build toold for creating small protoptype projects in Scala. Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. README.md Distributed Recommendation Engine with RDD-based Model using MLlib's ALS. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. You will need: Scala 2.10+; Play Framework; MongoDB.