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Nils schrieb:
>> Imagine for instance you want to search for
"mikkel" but misspell
>> it "mikkal". No results are found, but
the engine is able to
>> suggest alternative query strings, for instance
"mikkel", if this
>> term exists in its documents corpus. A feedback
mechanism where
>> the user is prompted with "Did you mean mikkel
?" would be useful.
>> Engines that support this do it rather quickly and
it doesn't have
>> a noticeable impact on search speed.
>
>
> That's not exactly what i meant. I used quicksilver
some time ago on
> OSX and as far as I remember it did the following: It
showed up the
> items matching the input, sorted by the levenstein
distance (the one
> with the shortest distance first) and by usage (the
most used items
> first). This means that you could call
"Firefox", for example "foxy",
> since there is some similarity between the 2 strings.
If you always
> choose Firefox, when typing "foxy", it
learns, so Firefox will move on
> the top of the menu. It also reacted quick, but I'm not
sure what
> algorithms were used, I also think it's not opensource
(but free of
> charge).
>
Currently, the order of the results is determined by the
order of the
modules in the preferences dialog.
In addition, Deskbar is not capable of learning from the
user's input.
Nevertheless, it would be a very big feature to support
something like
it. Apparently, this will be no easy task and we're pretty
much lacking
man power these days.
- --
Greetings,
Sebastian Pölsterl
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