Bargava Subramanian and Harjinder Mistry share data engineering and machine learning strategies for building an efficient real-time recommendation engine when the transaction data is both big and wide. They also outline a novel way of generating frequent patterns using collaborative filtering and matrix factorization on Apache Spark and serving it using Elasticsearch in the cloud.
[TALK]@Telematika
Talks & Presentations Collection
