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That just seems like a narrow net problem than an issue with the approach. Assuming I have some distance function that tells me who's "similar" to me and it's
by nkozyra 9y ago
That just seems like a narrow net problem than an issue with the approach. Assuming I have some distance function that tells me who's "similar" to me and it's malleable, I should be able to reach those outliers.
- anjc 9y agoYeah, makes sense, and for sure works for many cases. But there's no meaningful distance between two sets of preferences that have a null intersection. I've come across this just as a user with regard to film. I reckon that I've watched all of the 10/10 mainstream comedies that have been made in English. I want more 10/10 comedies, so I'll have to look at foreign languages films. But there isn't enough overlap of user preference, due to demographic separation I suppose, to get decent recommendation from other countries. If you start adding metainformation preferences (e.g. must not be in English, must be >9/10 stars etc) then you're back to Content-based recommendation territory (i.e. audio analysis as Spotify are doing)