Awesome. Got it.
I see what you mean, great, thank you. :)
Cheers,
Nilesh
On Apr 28, 2013 2:56 AM, "Lydia Pintscher" <lydia.pintscher(a)wikimedia.de>
wrote:
On Sat, Apr 27, 2013 at 11:14 PM, Nilesh Chakraborty
<nilesh(a)nileshc.com>
wrote:
Hi Lydia,
That helps a lot, and makes it way more interesting. Rather than being a
one-size-fits-all solution, as it seems to me, each property or each type
of property (eg. different relationships) will need individual attention
and different methods/metrics for recommendation.
The examples you gave, like continents, sex, relations like father/son,
uncle/aunt/spouse, or place-oriented properties like place of birth,
country of citizenship, ethnic group etc. - each type has a certain
pattern
to it (if a person was born in the US, US should
be one of the countries
he
was a citizen of; US census/ethnicity statistics
may be used to predict
ethnic group etc.) I'm already starting to chalk out a few patterns and
how
they can be used for recommendation. In my
proposal, should I go into
details regarding these? Or should I just give a few examples and explain
how the algorithms would work, to explain the idea?
Give some examples and how you'd handle them. You definitely don't
need to have it for all properties. What's important is giving an idea
about how you'd tackle the problem. Give the reader the impression
that you know what you are talking about and can handle the larger
problem.
Also: Don't make the system too intelligent like it knowing about US
census data for example. Keep it simple and stupid for now. Things
like "property A is usually used with value X, Y or Z" should cover a
lot already and are likely enough for most cases.
Cheers
Lydia
--
Lydia Pintscher -
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Community Communications for Technical Projects
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