How to inference on users without any interactions?

[Chunger-Lo]

Hi,
In the example dataset (amazon, gowalla,...), all of the users in test data has interactions with at least one item.
However, I am trying to implement on a problem where the number of item we will recommend to users is only 1.
Therefore, there would be reasonably lots of users without any single interaction in test data, and we will still try to provide recommendation to them.
I am wondering if this implementation code can apply to this problem?