This week, i carried on with my listening sessions, documenting the recommended artists, songs and my mood during the session. for the first time in all the sessions i have had to date, last.fm finally understood what i was looking for. or maybe it was just a coincidence. but this session was definitely better than all my other sessions. also the artist recommendations are getting really awesome now.
i would love to have a resident cognitive scientist help me understand the relation between my listening mood and ratings, but i guess that's asking for too much !!! you are welcome to download my excel spreadsheet file and do some analysis yourself. just dont forget to share your results with me !
A summary of my findings to date:
1. Songs played are directly related to the artists who are in the recommended list.
2. If an artist is removed from the recommended list, his songs no longer play as recommendations.
3. The song play list does NOT deviate from the artist recommendation list.
4. A track is scrobbled only after you listen to it for a few minutes/seconds.
5. Mood plays a big role in music choices.
6. Audioscrobbler generates recommendations on a weekly basis, which I think is influenced by the listening habits of my 'neighbors' and of course, myself. The popularity of an artist or track helps it to climb or fall in the recommendations list.
7. Audioscrobbler recommends audio tracks, albums, artists, events (concerts), videos and even users (neighbors).
8. I have a list of neighbors, who are people who listen to music similar to what I have been listening to ... last.fm calls them recommended users.
9. The list of artists which you may see on an artist page as being "similar" is based exactly on our user's listening habits. If a lot of users listen to Artist X, but also Artist Y and Z - Y and Z artists will become similar to X.
10. The recommendations are classified based on where they have been derived from (group recommendations, friend recommendations, and last.fm recommendations).
11. All the recommendations are tied up by Audioscrobbler to my listening preferences, but the recommendations vary very widely depending on the sources.
12. Recommendations from friends reflect their taste and I found most of these recommendations to be far from what I was looking for. But this is a social networking based technology, and listening to other people sometimes does open up interesting choices.
13. Neighborhood of friends!!! Yes we can actually see all the people who are listening to music that u have in your profile. This neighborhood helps to showcase 2 things:
a. Popularity of the music you are listening to.
b. Potential friends who you can add to your list.
14. There is also a recommendation list for albums and concerts and other music related events.
15. If the track length is less than 30 seconds, last.fm radio player refuses to scrobble the track.
Links:
Excel file documenting my listening sessions: http://www.filesend.net/download.php?f=842019c33f4638ee67c62c4eb54b10d1
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