Recommender Systems - Deep and Wide

9e49641776617feb13a6120eec73d7f0?s=47 Bargava
December 06, 2017

Recommender Systems - Deep and Wide

We share data engineering and machine learning strategies for building an efficient real-time recommendation engine when the transaction data is both big and wide. It outlines a novel way of generating frequent patterns using collaborative filtering and matrix factorization on Apache Spark and serving it using Elasticsearch on the cloud.



December 06, 2017