Hello Fabio,
what you describe sounds very possible, the easiest way to do it would be
to save your incoming data in HDFS as you already do if I understand
correctly,
and then use the batch ALS algorithm [1] to create your recommendations
from the static data, which you could do at regular interva
Hi to all,
I'm building a recommendation system to my application.
I have a set of logs (that contains the user info, the hour, the button
that was clicked ect...) that arrive to my Flink by kafka, then I save
every log in a HDFS (HADOOP), but know I have a problem, I want to apply ML
to (all) my
