Perform an ALS with TF-IDF output (spark 2.0)

[Pasquinell Urbani]

Hi there

I am performing a product recommendation system for retail. I have been
able to compute the TF-IDF of user-items data frame in spark 2.0.

Now I need to transform the TF-IDF output in a data frame with columns
(user_id, item_id, TF_IDF_ratings) in order to perform an ALS. But I have
no clue how to do it.

Can anybody give me some help?

Thank you all.