
My best part of the day, is dropping my 5-year old to school. Ah! The questions and insights...
Of late, she has become reticent and prefers to listen to Music. Pretty soon, she got bored of her kids' songs. So, I function as her DJ. When a new song plays, she either commands, "I don't like it. Could you change daddy" or she remains quiet.
I noticed that, whenever "Jack and Diane" plays, she sings along. So, I brought in a collection of John Mellencamp. Bumner! She did not seem to like anything other than "Jack and Diane".
So, I kept trying other singers in that Genre.
For her age, her taste is pretty nuanced. She would not like a slow song. Yet she particularly likes Micheal Buble. The traditional taxonomy of musical genres is not very useful for me, to select songs for her.
Pandora did not work for me,beyond a point, partly due to the short rides. Since I am a music lover myself, I curate the songs for her and of late, she rarely says, "I don't like it".
I can almost externalize my daughter's taste pattern, into a new custom genre, which I would call, the 'dida-5'. Her taste is not going to be the same, 2 years from now. It would become 'dida-7'.I am pretty sure, there would be others whose taste fall into 'dida-5'.
The trajectory of her taste could be reliably predicted and would emerge like a fractal, with data from other consumers, bound together, in a connected consumption platform.
I would call this, 'computer-generated' custom taxonomy as 'fractonomy'. I used taste as an anchor for classification. However, Taste could be easily replaced by any other attribute, in this "Everything is Miscellaneous" Era.


