3 ms·
I'm not sure your problem is well defined enough. Do you want the ML to be able to select songs similar to those you've liked? Or would simply keeping track of
by delta1 10y ago
I'm not sure your problem is well defined enough. Do you want the ML to be able to select songs similar to those you've liked? Or would simply keeping track of the number of likes on each song suffice, such that songs with more likes have a higher probability of being played?
- gravypod 10y agoPerferably (Ordered by percived difficulty): - Prefer songs from most liked genera/artist/album - Favor liked song/genera/artist/album & avoid consistantly disliked song/genera/artist/album. - If a specific song/genera/artist/album is liked more at a specific time, play it more often at that time. - If a song is being played and specific song/genera/artist/album is always liked when it follows this song then favor those. - If you are playing a song and there is a song that is always liked when it follows this song favor that song when choosing the next song. Possibly (if I decide to devote my life to making a music recommending engine): - Corelate GPS location with song choices - Corelate weather/humidity/tempature/month with song choices - Do NLP sentiment analysis to score all of the songs on an emotional-tone scale to help group them well. - Do some DSP on all of the audio to generate a intro and outro beat/rythm profile and attempt to best match the song that will lead to a good enterance/exit. edit: fixed formatting.