[ylow]

The actual problem that is being solved here is well defined mathematically and is matrix completion via low rank matrix factorization. And using a sampling approach for it. (I have not read the paper in its entirety, just skimmed the intro a bit). It is called "recommendation system" largely due to some history around some of its common appplications (Netflix challenge). But this is not addressing the subjective recommendation problem, but a very particular instantiation of it.

[b0gb]

Yes, I get that..., my issue was with its application (a movie recommendation)... the idea itself isn't qualified for the quantum realm...

[lo_zamoyski]

I don't see how this follows.

Besides, "subjectivity" concerns the subject, "objectivity" the object. The former is a matter of how an object is received by the observer, and so all perception is subjective in that sense; it can't be otherwise. But the subject can become an object of another subject. We can infer with varying certainty what someone is more or less likely to enjoy based on our knowledge of what they like.

[ylow]

The application, method and algorithm needs to be separated. The application is movie recommendation. One of the methods which works pretty well for this is low rank matrix completion. There are several algorithms for this method, one of which is quantum.