mherger wrote: 
> > Didn't quite work out for me - might be me reading too much into what
> it
> > can do or perhaps having it set-up incorrectly for the player I tried
> it
> > on.
> 
> It's more on the "read too much into it" side: Even though you started 
> the seed based on tags, the DSTM part would not use the tags as its 
> primary criteria to continue the mix, but it would take the songs 
> themselves and get tracks similar to it (based on whatever criteria 
> Last.fm is using).
> 
> > While "whistling" is an odd one to pick ... I guess the same would
> apply
> > to other tags from last.fm - like London, Running etc
> 
> That's correct. This issue is similar to the "female" case I mentioned 
> in the introduction which would open up pretty quickly to a wide range 
> of tracks.
> 
> -- 
> 
> Michael

FWIW I have found that the Genre based Random Seed -
https://forums.slimdevices.com/showthread.php?110023-Feature-Request-Random-Seed
- which admittedly has to start with 5 local files is fairly accurate
and to date has only crossed into something other than the chosen Genre
on one occasion since I started using it. 
My use case is with DSTM/Lastmix



VB2.4[/B] STORAGE *QNAP TS419P (NFS)
[B]Living Room* - Joggler & SB3 -> Onkyo TS606 -> Celestion F20s
*Office* - Pi3+Sreen -> Sony TAFE320 -> Celestion F10s / Pi2+DAC & SB3
-> Onkyo CRN755 -> Wharfedale Modus Cubes
*Dining Room* -> SB Boom 
*Kitchen* -> UE Radio (upgraded to SB Radio)
*Bedroom (Bedside)* - Pi2+DAC ->ToppingTP21 ->AKG Headphones
*Bedroom (TV)* - SB Touch ->Sherwood AVR ->Mordaunt Short M10s
Everything controlled by iPeng
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View this thread: http://forums.slimdevices.com/showthread.php?t=110132

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