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



Talk about how to build recommendation engines using common items. MLlib uses the alternating least squares (ALS) algorithm to learn these latent factors. Can use entire user click streams and context in making recommendations. A recommendation engine that is both awesome and free. Why Build a Custom Recommendation Engine? 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. Scala- parallel- Import sample data for recommendation engine. Recommendation engines are the mainstay of e-commerce sites. In particular, I show how multi-modal recommendations can be built usi… Co- occurrence Based Recommendations with Mahout, Scala and Spark. The input data to this recommender should be my existing bookmark library. 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). PredictiionIO Template for Multimodal Recommender. The Apache Mahout™ project's goal is to build an environment for quickly are an environment for building scalable algorithms, many new Scala + Spark (H2O in their own math while providing some off-the-shelf algorithm implementations . Playing with OpenCV in Scala to do face detection with Haarcascade classifier using a Building a food recommendation engine with Spark / MLlib and Play. This is the second entry of the series of blog posts about building an online recommendation system based on MongoDB and Mahout. Is an open source machine learning server application written in Scala. More than PredictionIO E-Commerce Recommendation Engine Template (Java-based parallelized engine). GitHub is where people build software. 4, MongoDB 3.0.2 and Play Framework 2.3.8 with Activator 1.3.2. Scala-parallel-recommendation-mongo-datasource. Very easily build blog recommendation engine using PredictionIO.





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