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That's not precisely correct. In the old days, we typed in our favorite bands/books/music. The attempted canonicalization created some amusing interpretations
by reeses 13y ago
That's not precisely correct. In the old days, we typed in our favorite bands/books/music. The attempted canonicalization created some amusing interpretations of song as band, book as author, band as book, etc.
It has also made it exceptionally annoying to get feed updates from the 900 bands, actors, movies, songs, etc. that I said I liked and now have to "unlike".
I think you could correlate people within a certain confidence, but because of the nature of the data, you would have to expect a surprisingly large dissimilarity of interests within a clique over a certain account age based on this noise. Not 90%, but higher than the real value.
- stared 13y agoSure, I expect data to be extremely noisy, but I am thinking about looking at very robust things (e.g. this guy is in rock-like perhaps-indie music), not making it too fine-grained.