Would also be nice to have a list of the most voted on/highest/most
interesting/some other kind of metric to make it feel less like "we're
building a massive dataset, and want you to do the donkey work".


2009/4/8 Rowland Shaw <[email protected]>:
> Actually, it appears that refreshing the page will repeat your
> previous vote, but on the next picture -- even if the page failed to
> load because a proxy server timed out waiting for a response.
>
>
> 2009/4/8 Simon Bohlin <[email protected]>:
>> I've cracked the question about lots of 1-2 ratings. It's someone who would
>> like to see all photos.
>> There's no "Skip to next photo" button.
>>
>> On first view, it took a while to find the voting buttons. If they're the
>> primary action, maybe they could be more prominent, perhaps stronger colour?
>> I didn't notice any guidelines on how to vote, i.e. not judge the
>> photographer? If you want me to read that, put it nearby the voting buttons.
>> Both my ratings were 3:s because using a laptop trackpad, and having seen 0
>> or 1 photos before, I couldn't really use the full scale. Neither would I
>> feel very inclined to judge one such a fine scale as 10 steps. (I'm biased
>> on this: At work, our questionnaires use 5-grade scale, and our respondents
>> are both pushed by their bosses and sent reminders to make them fill in
>> those questionnaires.)
>> Also; Max Diff FTW! I'm very grateful to have learned about that today.
>> Cheers
>> /Simon B.
>>
>>
>> On Wed, Apr 8, 2009 at 1:17 PM, Rowland Shaw <[email protected]> wrote:
>>>
>>> Don't forget that "time of year when photo was taken" affects the
>>> results -- snowy scenes taken might beat "photo of a road on a dull
>>> drizzly day, taken only to fill up the Geograph grid", and whilst
>>> there is guidance to not rate the photographer, a good composition
>>> will enhance the view;
>>>
>>> As an example; two photographs taken at the same locale, by the same
>>> person, within a few minutes of each other, pointing in different
>>> directions:
>>> http://www.flickr.com/photos/ratarsed/3377071312/
>>> http://www.flickr.com/photos/ratarsed/3376131577/
>>>
>>> Both photos have their artistic merits, but in my mind, one is a lot
>>> more scenic than the other -- so how should this affect the ranking of
>>> that area?
>>> (For reference, if I saw these on ScenicOrNot, I'd rate one as a 3,
>>> and the other as an 8)
>>>
>>>
>>> 2009/4/8 Francis Davey <[email protected]>:
>>> > 2009/4/8 Frankie Roberto <[email protected]>:
>>> >>
>>> >> I'd be fascinated to know how a factor analysis works (I tried looking
>>> >> at
>>> >> http://en.wikipedia.org/wiki/Factor_analysis, but it's not the most
>>> >> accessible Wikipedia page).
>>> >
>>> > No, its awful.
>>> >
>>> > I'm using the term a bit generically but its quite simple.
>>> >
>>> > Eg, imagine there are N people who have voted on pictures. Now take an
>>> > N dimensional graph and plot where they rate them all (or how they
>>> > compare them all). Each picture is a point in this N-dimensional
>>> > space.
>>> >
>>> > Now we have an utterly incomprehensible graph which is also hard to
>>> > visualise to those of us who find thinking in more dimensions than we
>>> > have toes difficult.
>>> >
>>> > So, what would be great is to somehow reduce that number of dimensions
>>> > a bit, or even a lot. That amounts to finding a few factors that
>>> > explain most of the data.
>>> >
>>> > How you do this, like much of stats, depends. There are lots and lots
>>> > of algorithms for it. Some are easy - roughly corresponding to
>>> > projecting the N-dimensional space down onto some subspace that's more
>>> > manageable, so all you have to do is find the subspace. But there's no
>>> > reason to assume that everything is linear, so you might do something
>>> > more sophisticated.
>>> >
>>> >>
>>> >> Another alternative might be to force people to make a binary choice
>>> >> between
>>> >> "scenic" and "not scenic", or perhaps a 4 way choice with 2 "very"
>>> >> options.
>>> >> Then you avoid all the indecisive 4-6 responses.
>>> >>
>>> >
>>> > If what you want is a *lot* of data comparisons fast then use
>>> > something like Maxdiff:
>>> >
>>> > http://en.wikipedia.org/wiki/MaxDiff
>>> >
>>> > Show four photos and ask for best and worst. That's still amazingly
>>> > easy (almost as easy as the kittenwar game) and you get a lot more
>>> > ratings done.
>>> >
>>> > But, beware! In this case there's a whole nother issue. So far we have
>>> > been considering:
>>> >
>>> > - finding scenic places on the basis of some mass voting (a million
>>> > people can't be wrong)
>>> > - finding places I'd like (needs a factor analysis or something similar)
>>> >
>>> > But the scenes have location data too. You might want to say here ->
>>> > is an really good place to go because there is a cluster of scenically
>>> > rated photos from there. That requires a whole lot more sophisticated
>>> > analysis again.
>>> >
>>> > However I don't know what the use cases of this data might be, so
>>> > can't comment. I'm not saying Tom et al. are wrong because they know
>>> > what their constraints and aims are which I most emphatically do not.
>>> > What's more they have almost certainly taken the advice of
>>> > statisticians to get this just right, so my rather amateurish
>>> > criticism is meant to be just that, my half pennyworth.
>>> >
>>> > When I get stuck, I tend to go off and talk to a fellow of the royal
>>> > statistical society. It tends to unstick my mind, though I usually
>>> > come away realising how much more problematic everything really is
>>> > 8-).
>>> >
>>> > --
>>> > Francis Davey
>>> >
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>>> >
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