Awesome. Got it. I see what you mean, great, thank you. :)
Cheers, Nilesh On Apr 28, 2013 2:56 AM, "Lydia Pintscher" <lydia.pintsc...@wikimedia.de> wrote: > On Sat, Apr 27, 2013 at 11:14 PM, Nilesh Chakraborty <nil...@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 - http://about.me/lydia.pintscher > Community Communications for Technical Projects > > Wikimedia Deutschland e.V. > Obentrautstr. 72 > 10963 Berlin > www.wikimedia.de > > Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. > > Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg > unter der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das > Finanzamt für Körperschaften I Berlin, Steuernummer 27/681/51985. > > _______________________________________________ > Wikitech-l mailing list > Wikitech-l@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wikitech-l _______________________________________________ Wikitech-l mailing list Wikitech-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikitech-l
