Building a Recommendation Engine with Spring and Hadoop
summary
Shows how to build a recommendation engine for StackOverflow data using Spring XD and Spring Batch to orchestrate Hadoop ingestion, processing and export, and Apache Mahout to compute recommendations. Assumes familiarity with Hadoop MapReduce concepts and basic Spring dependency/injection configuration.
AI-written summary · about
chapters (5)
related talks
55mBuilding a Recommendation Engine with Machine Learning Techniques
46mRecommendation Service on a Virtual Hadoop Cluster
39mA recommendation engine for your applications
48mBuild a Recommender System in Apache Spark and Integrate It Using Akka
37mBuild a Recommender System in Apache Spark and Integrate it Using Akka
39mRecommendations at XING: From theory to production
31mCreating recommender systems with Spark, Scala and Prediction.Io
46mDiscovery & Analytics with Hadoop, Mahout & Solr
