Thanks Nick real-time suggestion is good, will see if we can add that to our deployment strategy and you are correct we may not need recommendation for each user.
Will try adding more resources and broadcasting item features suggestion as currently they don't seem to be huge. As users and items both will continue to grow in future for faster vector computations I think few GPU nodes will suffice to serve faster recommendation after learning model with SPARK. It will be great to have builtin GPU support in SPARK for faster computations to leverage GPU capability of nodes for performing these flops faster. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Large-scale-ranked-recommendation-tp10098p10183.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
