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[baldo]

I have a music library of almost 100K files, give or take a few K!!!

Some of these files/ tracks I have never played and may have never heard. 

Any ideas on how I can go about exploring my own music collection?  I could compile a playlist of tracks never played. That is one way. 

I could by the Genre, by Era by the date that I added the files. 

Is there any kind of AI software that can go through my collection and perhaps predict what I would like.  Maybe by looking at how often certain tracks are played or used in playlists, and then finding similar tracks.

I would welcome any thoughts and insights on this.

[JimH]

Play Doctor.

[baldo]

ok. How do I use Play Doctor?

[eve]

I have a music library of almost 100K files, give or take a few K!!!

Some of these files/ tracks I have never played and may have never heard. 

Any ideas on how I can go about exploring my own music collection?  I could compile a playlist of tracks never played. That is one way. 

I could by the Genre, by Era by the date that I added the files. 

Is there any kind of AI software that can go through my collection and perhaps predict what I would like.  Maybe by looking at how often certain tracks are played or used in playlists, and then finding similar tracks.

I would welcome any thoughts and insights on this.

Very complex. I actually do these kind of recommender systems for myself on the side.

One problem if you're trying to tailor a model to 'you' is that, you still need user data from other people. An easy way to think of this is basically, you summarize 'how you score' various albums, and compare that to how alot of people score various albums. You find a person that has similar tastes, and you can use their 'score' for other things to fill in the gaps for 'you', thus with a variable degree of accuracy, predicting what you'd score that album you haven't scored. You can do similar things with user playlists as an input, 'predicting' a track that would fit nicely next to a given set of tracks.

That's about the most basic explainer of how a rudimentary recommendation model works I can give, it's not very good.
 

[JimH]

It's on the wiki.

[eve]

It's on the wiki.

Out of curiosity, how do you guys handle Play Doctor's choices? Any insights?

[JimH]

Take a look at the settings available in MC's options.

You can also choose the degree of variety you want.  And whether to use local or Cloudplay or both.

Then it starts with the seed file or files you choose. 

Then it learns as you skip or delete.

Marko did a good job here:  https://wiki.jriver.com/index.php/Play_Doctor

[baldo]

Ok, I found Playdoctor but its does not look particularly useful beyond picking some random tracks from my library!

How can I set it so that it picks files from say a particular Genre. Or from a particular Era, 1970s, 1980s etc ( I have all my music tagged into and Era).

I looked at the Rules and set just one rule, Era contains 1970s

and I get no tracks coming up.  Which is clearly wrong.

I looked at the Wiki, I'm sorry but that was not helpful.

[HPBEME]

Click on the Search DJ button right next to PlayDoctor text box.  That will bring up a dialog box where you can enter genre among a few other options.

[eve]

Take a look at the settings available in MC's options.

You can also choose the degree of variety you want.  And whether to use local or Cloudplay or both.

Then it starts with the seed file or files you choose. 

Then it learns as you skip or delete.

Marko did a good job here:  https://wiki.jriver.com/index.php/Play_Doctor

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