Killer feature(idea): Work with a Kinect sensor on a feedback loop to update the playlist based on number of people, size of the room, acoustics, aggregate playlist taste of people who "check-in" to the room so their tastes gets included (you're a good host right?). I imagine it would bring a more social component to the playlist and put that social component to use.
Play Strength, a Rdio Feature Concept
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Re: Play Strength, a Rdio Feature Concept
#12Earlier quoted context omitted.
I need something more binary. Deciding between three and four stars seems totally arbitrary.
Agree. Binary on/off with the stars is a lot easier to keep track of than remembering how you define each of the 1-5 star ratings.
All told, I think rating songs in your library is a really personal thing.
@JimEngland, you use stars purely as an organizational tool, which is slick. It's cool that the iTunes interface extends it self to different uses.
@tkahnoski and @zeedog, how would you elegantly expose controls for those different feelings?
Re: Play Strength, a Rdio Feature Concept
#13Music listening is completely subjective based on the smallest of changes within any given moment. Sure, the ideas of play strength/stars/constant radio/genre/BPM all helps in culling a mood, but it will never go all the way (without some sort of brain connection device). I may create a playlist one day based upon a certain artist (with similar artists in the mix) however the next day I may want to listen to somethin…
Selecting music to play at any given moment is entirely human. Play Strength was not intended to make music selection automatic.
I think humans can make better decisions with data. Play Strength attempts to expose insights already locked inside your music library.
For example, one of the big changes in driving some hybrid vehicles is a real-time monitor of how power is flowing in and out of the battery. I think just seeing that data changes your driving habits.
That's what I was going for with Play Strength. Thanks for sharing your thoughts.
Re: Play Strength, a Rdio Feature Concept
#14Very neat ideas here. I love the idea of helping Rdio choose what to play next by this combination of your recent plays combined popularity as defined by other users. I also appreciate that many of the UI changes for these features are very subtle. I just wonder how many users would actually find these features useful. I had to explain the concept of the "Collection" of a few people recently, which scared me since it…
Thanks for the kind thoughts!
I agree, the whole concept of a cloud-based music library is very new. Forget music, the concept of the cloud is new! I'm looking forward to a holiday filled with questions like, "where is it, who owns it, is it secure?"
Once people are comfortable with the paradigm shift, will really be cooking with gas.
Re: Play Strength, a Rdio Feature Concept
#15Killer feature(idea): Work with a Kinect sensor on a feedback loop to update the playlist based on number of people, size of the room, acoustics, aggregate playlist taste of people who "check-in" to the room so their tastes gets included (you're a good host right?). I imagine it would bring a more social component to the playlist and put that social component to use.
You're blowing my mind here. Really good stuff.
What I think is really cool is that all this stuff is coming. There are a lot of stakeholders deeply invested in seeing these ideas come to fruition.
To the future! Cheers.
Re: Play Strength, a Rdio Feature Concept
#16EN (which powers the Rdio create station feature that rolled out recently) has similarity data and popularity data for songs & artists natively. Popularity of a single song: http://developer.echonest.com/api/v4/song/search?api_key=FIL... List of songs by an artist ordered by popularity http://developer.echonest.com/api/v4/song/search?api_key=FIL... Since we have Rdio in our Rosetta ID space, you can natively use Rdio…
#awesomesauce
Re: Play Strength, a Rdio Feature Concept
#17I once had the idea of using markov chains to help build playlists. I find the order of songs can be very important, and that way I could build a more random playlist based liking song B after song A, and just keep going.
The problem was two fold, one, I really love whole albums when done right. So that most of the music I listen to is album based. The markov chain is pointless then. Two, I would need a really big data set to make it worthwhile. Rdio has that data set (or possibly even Echo Nest).
Re: Play Strength, a Rdio Feature Concept
#18I love posts like this having spent a decent bit of time designing a music queuing UI myself. I think number 4 is really interesting if you could get the recommendations right. And you could do it in addition to play strength.
Re: Play Strength, a Rdio Feature Concept
#19Earlier quoted context omitted.
I need something more binary. Deciding between three and four stars seems totally arbitrary.
I only use one, three, and five stars, and it determines the "mood" of the song. One star songs are slow and chill, Three star songs are upbeat, and five star songs you'll want to rock out to.
Couldn't that be accomplished using BPM? Various tools will determine BPM for you.
Re: Play Strength, a Rdio Feature Concept
#20Music listening is completely subjective based on the smallest of changes within any given moment. Sure, the ideas of play strength/stars/constant radio/genre/BPM all helps in culling a mood, but it will never go all the way (without some sort of brain connection device). I may create a playlist one day based upon a certain artist (with similar artists in the mix) however the next day I may want to listen to somethin…
> it's still just a feature that can become just as underused or overused as a star count.
I find star counts really useful. When you've got a huge amount of music it's hard to remember all the songs you like, and ratings (often in conjunction with other properties like genre) are useful way to filter the music.