Re: How to identify flat (even) distributions?

On Dec 11, 11:57 am, Steve555 <foursh...@xxxxxxxxxxxxxx> wrote:

maybe the chi-squared one will be the fastest to compute.

They all involve summing over all ten score frequencies: it is hard to
see that one can avoid this!

Either way, my hunch is that it would be useful, when devising a music
recommendation system, to eliminate - or give a low weighting to - the
scores of these people.

It is usually better to decide exactly what you are trying to achieve
before trying to achieve it. Many questions of this nature are simply
linked to a failure to define the goal precisely. Once the goal is
defined, whether these people are 'useful' or not should be a question
of calculation based on hypothesized models, not hunches. However
difficult you may think it is to model human behaviour, you have no
choice if you wish to pursue this type of application. You may as well
do it explicitly, thereby making your assumptions explicit, for
otherwise you will in any case be doing it implicitly, and your
assumptions will be hidden and hence un-analysable. Your explicit
models may seem ludicrously simplistic, but this is the nature of the
application. Your implicit models will also be ludicrously simplistic,
but you would not be forced to face up to it and admit it.

illywhacker;


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