This session serves as a forum for discussing various music discovery systems currently available on the world wide web. Examples of such systems are not restricted to only those that rely on audio features extracted from music data for making recommendations, but also include those that rely on user & genre tags, data mining from music news websites, music blogs and data of various modalities. The session aims at creating an awareness of one context in which a considerable portion of research in Music Information Retrieval and Machine Learning for Music has been applied.
The list below is only a small portion of such systems that are available on the world wide web, and not all details about all of them are known.
It is the hope that in the course of, and following today’s meeting, this list can be made more complete and correct in its content, and updated with other similar services that others have come across or themselves used in the past. Group members are encouraged to come up and share any website not listed here during the meeting. Suggestions on how this list can be made more informative, or better organized are welcome.
The following is an initial list that has been compiled to initiate the discussion:
| Service | URL | Discovery | Demo | |
| Tag/Feature based | ||||
| Last.fm | http://www.last.fm/ | Recommendations are calculated using a Collaborative filtering algorithm that relies on user tags, MP3 tags uploaded via Media players using the Audioscrobbler Plugin. Also allows manual recommendations by |
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| We Are Hunted | http://wearehunted.com/a/#/emerging/ | Proprietary software for music recommendation that enables data aggregation, machine learning and content recommendation services. Generates the music charts, powers the dynamic Indexes approximately 100,000 music articles and Actively monitors YouTube and the Facebook |
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| Musicovery | http://musicovery.com/ | Proprietary technology called “mood pad” that enables to position any song on a 2 dimension continuous space. Songs are described with 40 musical |
http://www.youtube.com/watch?v=zqkFUUWGH5E | |
| Quirk.fm | http://www.quirk.fm/preview | Idea to completely do away with genres.
Songs represented by a set of emotion-related Do the survey and help them gather more data :) Seems to only cover smaller/independent artists. |
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| User-interaction oriented | ||||
| 8Tracks | http://8tracks.com/ | Listeners are able to search through existing mixes and/or as create their personal mixes. Users can search for mixes by individual artist, Users can “like” entire mixes or “star” individual |
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| Everyone’s Mixtape | http://everyonesmixtape.com/ | Manually going through other mixes. | http://www.youtube.com/watch?v=PAN13R3arnc | |
| This is My Jam | http://www.thisismyjam.com/ | Discover new music by “following” other users.
Users change their track of choice (jam) on a regular |
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| From Music Blogs | ||||
| The Hype Machine | http://hypem.com/popular | See demo video | http://www.youtube.com/watch?v=e9RNwdTuJX4 | |
| Shuffler.fm | http://shuffler.fm/ | http://shuffler.fm/about | ||
| General Recommenders | ||||
| Gnoosic | http://www.gnoosic.com/ | An AI system that engages in some kind of active Learning. A part of the gnod.net website. Recommends music, books and movies & people. Not much of any other information available. |
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| TasteKid | http://www.tastekid.com/ | A general recommender system for music, books, Movies, TV shows, authors and games. Not sure about underying technology. |
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| Maps | ||||
| Music Map | http://www.music-map.com/ | |||
| Labyrinth of Genre | http://static.echonest.com/LabyrinthOfGenre/GenreMaze.html | |||
| MoMS (Map of Musical Styles) |
http://static.echonest.com/playlist/moms/ | |||
| Other Links | ||||
| http://inspiredm.com/20-fantastic-ways-to-find-new-music-that-you-like-no-lastfm-pandora-inside/ |