DMM.com ラボã¯ãªãœSparkを採用ã—ãŸã®ã‹ï¼Ÿ レコメンドエンジン開発ã®è£å´ã‚’ãŠè©±ã—ã¾ã™This document discusses DMM's use of Apache Spark for real-time recommendations. It covers how Spark is used for tracking APIs, Hive integration, item-to-item and user-to-item recommendations using Spark MLlib ALS, connecting to databases using Sqoop, and deploying and executing recommendation APIs on Jenkins with BuildFlow. Tips are provided on using dataframes/datasets, optimizing memory, and th
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