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And more generally, I would say it just depends on the quality of the AI. There is no fundamental reason why such a system would have to recommend only similar
by tempestn 10y ago
And more generally, I would say it just depends on the quality of the AI. There is no fundamental reason why such a system would have to recommend only similar music. It could try contrasting music, and build a picture of what aspects of the music you like. It could draw conclusions to recommend seemingly different genres which nonetheless share some commonality that might make them appeal to you. It could also occasionally try out completely different things, to broaden your horizons (and give you more of that if you react favourably). And that's just scratching the surface. You could do all that without AI. An AI could potentially do all that, plus other interesting things that we wouldn't even think to try.
- DonaldFisk 10y agoThe algorithms used to make musical recommendations do statistical analysis on numerical ratings given by different people to different songs. They typically know nothing about music, as musical knowledge is understood not to improve their results. I wouldn't call them AI - they're neither knowledge-based systems nor neural networks.
- grahamburger 10y agoI don't think that that's true for Pandora: https://en.m.wikipedia.org/wiki/Music_Genome_Project https://en.m.wikipedia.org/wiki/Music_Genome_Project
- mattkrause 10y ago> I wouldn't call them AI - they're neither knowledge-based systems nor neural networks. Out of curiosity, why are you drawing the AI line at neural networks? Neural networks are just function approximators; there's nothing magical about them except they work really well on problems we're interested in. Would you really not consider an SVM or a Naive Bayes classifier "AI" since they don't use a very rough, very loose analogy to the brain?