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I had Alfred E. Neuman and Ted Nugent in the data, but I really need more music references. It guessed early 70's. It's written to guess early/mid/late subset

I had Alfred E. Neuman and Ted Nugent in the data, but I really need more music references. It guessed early 70's. It's written to guess early/mid/late subsets of ten-year ranges, and actually does have some data for kids/teens. Mostly it had fictional characters in movies, books and television but some singers snuck in there when I had my family fill out excel worksheets, heh! Any advice on how I could collect this kind of data? A survey on ask HN? Mechanical Turk? EDIT: the only features it uses are fictional names that one can rattle off in one sitting and the specific age to use for the label. No gender or other demographic information. So that's what I would collect, just a list of fictional names a submitter can think of in one sitting, and their age. It's basically a form of supervised topic classification training seen in other ML tutorials, but using the age as the training set topic label. I'm experimenting on enriching the data afterwards with media (book/movie/tv flags) see if that feature improves its performance, but I'm teaching a class this week and don't have any spare time to work on it.

spdustin 11y ago
I see after going over your comment history that you're 52. Now I feel bad! Looking at my data, only one person had Ted Nugent. My uncle, who is now 77. I have new respect for him. A handful of Alfred E. Neuman references are in there, wildly varying ages. It really underscores the value of a comprehensive training set to see how wildly off some predictions are when there aren't enough samples. Plus, just two vectors (as in your case) do not a classification make. It does make me wonder about the validation though... I should try validating the model with varying numbers of input names to see if there's a baseline where it's able to reliably predict age. I think that's where media would come in handy...
- pjmorris 11y ago
  My informal theory is that everyone's favorite music is what they were listening to when they were in high school. I'd guess that's a less well-specified version of your idea, but I think including musicians/bands would improve your results. The point someone else made about having access to all of prior history is valid though; my George Tirebiter reference came from listening to 'Don't Crush That Dwarf, Hand Me The Pliers' by The Firesign Theater, which is a decade or so older than I'd be expected to know if you just knew my age.

spdustin 11y ago

I see after going over your comment history that you're 52. Now I feel bad! Looking at my data, only one person had Ted Nugent. My uncle, who is now 77. I have new respect for him. A handful of Alfred E. Neuman references are in there, wildly varying ages. It really underscores the value of a comprehensive training set to see how wildly off some predictions are when there aren't enough samples. Plus, just two vectors (as in your case) do not a classification make. It does make me wonder about the validation though... I should try validating the model with varying numbers of input names to see if there's a baseline where it's able to reliably predict age. I think that's where media would come in handy...

pjmorris 11y ago
My informal theory is that everyone's favorite music is what they were listening to when they were in high school. I'd guess that's a less well-specified version of your idea, but I think including musicians/bands would improve your results. The point someone else made about having access to all of prior history is valid though; my George Tirebiter reference came from listening to 'Don't Crush That Dwarf, Hand Me The Pliers' by The Firesign Theater, which is a decade or so older than I'd be expected to know if you just knew my age.