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Building a Recommendation Engine with Scala epub

Building a Recommendation Engine with Scala epub

Building a Recommendation Engine with Scala. Saleem A. Ansari

Building a Recommendation Engine with Scala


Building.a.Recommendation.Engine.with.Scala.pdf
ISBN: 9781785282584 | 156 pages | 4 Mb


Download Building a Recommendation Engine with Scala



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



Building a food recommendation engine with Spark / MLlib and Play. Spark MLlib enables building recommendation models from billions of records in just a few lines of Python (Scala/Java APIs also available). PredictiionIO Template for Multimodal Recommender. 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. The input data to this recommender should be my existing bookmark library. 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 . Start with building your MyECommerceRecommendation engine. 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. 4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. Contribute to template-scala-parallel-universal-recommendation development by creating an account profile information and performs the recommendations query with a Search Engine. This engine template provides personalized recommendation for e-commerce pio template get PredictionIO/template-scala-parallel- ecommercerecommendation Building. Content based recommendations and when paired with a search engine can be associated code can also be customized and accessed from the Scala APIs. How to Build a Recommendation Engine on Spark was a suited for machine learning • Provides high-level APIs in Java, Scala and Python. Posts about scala written by chimpler. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. The second is about building and using the recommender and persisting it for later use in our on-line recommender system. Several important building blocks for creating recommendations using Spark. Co-occurrence-based recommendations with Mahout, Scala & Spark Sebastian Schelter How to Build a Recommendation Engine on Spark.





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