New Technologies

MyStrands Social Player™

Enjoy MyStrands on your Symbian mobile phone.
01/3/2007 - Give us feedback and get a free t-shirt!

Maps of Recommendations

Recommendation mapping is a new way to find music recommendations that are relevant to your specific taste.
09/10/2006 - Give us feedback and get a free t-shirt!

CBR for Playlist Recommendation

This project implements a Case-based Reasoning (CBR) approach to musical playlist recommendation.
04/28/2006 - Give us feedback and get a free t-shirt!

Mobile Technologies!

Mobile website and applications up and running!
02/08/2006 - Give us feedback and get a free t-shirt!


Features and Applications

Artist Recommendations and Facts

Using our recommender engine to get recommended artists for your favourite performer, we can show you information about them that we've found in artist biographies from sources such as Wikipedia.
03/06/2007 - Give us feedback and get a free t-shirt!

Personalized Indie Radio

Here you can access to our Personalized Indie Radio.
12/27/2006 - Give us feedback and get a free t-shirt!

Play a MyStrands Playlist in Rhapsody

This mashup allows you to play the tracks from any MyStrands playlist in Rhapsody's web player.
09/18/2006 - Give us feedback and get a free t-shirt!

Artist Reach Graphs

Curious about how many people per million are listening to your favorite artists? Take a look at these graphs.
07/24/2006 - Give us feedback and get a free t-shirt!

Personalized Radio

Use our Public APIs (we call them OpenStrands) to create your own personalized radio, with your own content. At MyStrands, we provide a playstream generator that uses our APIs and allows content owners to easily build personalized radios, tailored to the tastes of each music fan. Now, all those with the right licenses and content, can build a personalized radio and expose fans to great new music.

07/10/2006 - Give us feedback and get a free t-shirt!

MyStrands recommendations for last.fm users!

Tired of only getting artist recommendations in last.fm ? Try this.
03/31/2006 - Give us feedback and get a free t-shirt!

Musical Chain of Discovery!

In some cases, music discovery is like a chain of recommendations. You discover an artist you like, and from there another and another, your taste continually expanding...
03/13/2006 - Give us feedback and get a free t-shirt!

Real time music popularity measures!

Get a dynamic popularity measure based on what people is listening to.
03/03/2006 - Give us feedback and get a free t-shirt!

Get fully customized recommendations!

Get recommendations using all the power and flexibility of our recommender.
02/15/2006 - Give us feedback and get a free t-shirt!

Find your affinity to any music item or attribute!

What is the affinity between you and an artist, album or track?
01/26/2006 - Give us feedback and get a free t-shirt!


Mashups

Map of Concerts

This is a mashup with our recommender and Google Base and allows to get concerts from your favourite artists.
10/5/2006 - Give us feedback and get a free t-shirt!

Cross-content Recommendations: from Music to Books

This is a mashup with our recommender and Google Base and allows to get book recommendations from your favourite artists.
09/25/2006 - Give us feedback and get a free t-shirt!

Cross-content Recommendations: from Movies to Music

The first Cross-content Recommender that we would like to propose is about recommending music given a movie.
06/08/2006 - Give us feedback and get a free t-shirt!

Music Discovery through Web 2.0 Websites!

With these collections of mashups, you are able to discover multi-media content related to your favorite artist/s ...
04/28/2006 - Give us feedback and get a free t-shirt!


New Widgets and Plug-ins

Amarok Plug-in

If you are a Linux user use this plug-in to capture your playcounts!
03/26/2007 - Give us feedback and get a free t-shirt!

Music Similarities within Social Communities

[Firefox Addon]

Now you can see how similar people's musical tastes are to yours as you browse the web! This firefox extension will show you a music similarity score when you browse users' home pages from any of the well known social community sites.
02/15/2007 - Give us feedback and get a free t-shirt!

Google Widgets

Widgets to access personalized recommendations and tags in your Google page.
01/26/2006 - Give us feedback and get a free t-shirt!

Firefox Search plugin

Search for your favourite music in MyStrands using the Firefox browser.
02/13/2006 - Give us feedback and get a free t-shirt!

Please note: These technologies are still in the beginning stages of development, so they may disappear without warning or perform erratically. If something's not working on this page, please come back and try it again later.

Applied Research

Published Papers

Visualizing and Exploring Personal Music Libraries

Marc Torrens, Patrick Hertzog and Josep Lluis Arcos
ISMIR-long.pdf ISMIR-short.pdf ISMIR-poster.pdf

Research Internships

Music Mapping: Visualizing the Relationships Between Songs

This project developed a novel method for visualizing the relationships between songs based on how people are arranging them on playlists of audio files. The method is called "Music Mapping", and could serve as a method for exploring new music based on music that an individual already owns. We put together a small movie that explains the results of one such map (the movie file is large... use "right-click, download as" to view). This project proved to be very successful, and the results were presented at a Stanford data mining course as well as at Music 2.0 Conference. This is an ongoing project within a collaboration between MyStrands and the Indiana University.

Justin Donaldson wins the 1st place award in the Netsci06 poster session with ZMDS: Visualizing Structural Entropy in Queried Network Sub-Graphs
[click to enlarge!]
spacer Congratulations Justin!

Case-based Reasoning to Musical Playlist Recommendation

This project implements a Case-based Reasoning (CBR) approach to musical playlist recommendation. Our CBR approach focuses on recommending new and meaningful playlists. The Case Base is formed by a large collection of playlists. Then, the CBR system first retrieves from the Case Base the most relevant playlists, then combines them to generate a new playlist, both relevant to the input song and meaningful ordered. This research is developed in a joint project with the Artificial Intelligence Research Institute of the CSIC.

For further information on this project, please take a look at the following paper: Claudio Baccigalupo and Enric Plaza (2006), Case-based Sequential Ordering of Songs for Playlist Recommendation. Proceedings ECCBR-2006, Lecture Notes in Artificial Intelligence, Springer Verlag (to appear).

Patents


Find here a listing of our patents.

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