Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Solid work, but this only reinforces my belief that music recommendations is an area that is not (yet) cracked by AI. You can find similar songs with great accuracy, sure, but even if two songs are close to each other by all calculable metrics they can still vary drastically in subjective quality.

And a quick suggestion – all my top results when searching for popular songs were songs that were either different versions of it or those that had heavily sampled the original. While the algorithm is spot on, that isn't exactly what I am looking for. Maybe have a filter to exclude results that are too close a match?



Have you tried Gnoosic[0] yet? It's a more standard recommender system, I think. Some of the recommendations are really on point.

[0]: https://www.gnoosic.com/


Gnoosic and other existing tools are entirely useless for some things. Most music tools don't even allow entry of individual songs, which can really mess things up if your artist has changed sound styles over the years, or plays in multiple genres.

For example, any time I hear music I like in a Disney movie and want to hear similar music, all I can get recommendations for is movie soundtracks or whatever the guest artist is known for.

The example that covers up for me on occasion is the soundtrack to The Road To El Dorado, specifically the instrumental tracks (Cheldorado, The Brig, Wonders of the New World); Chosic.com gives me a ton of other soundtracks, mostly orchestral scores, for things like Kung Fu Panda, LOTR, Assassin's Creed, Angry Birds, POTC, etc. While it's nice to be able to tweak the algorithm on chosic to pick quiet movie scores for background music, that's not what I'm looking for. And gnoosic is entirely useless for that.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: