(Image taken from VisualizingLastFm)
Our call at SMC2009 is still open for inspiring submissions beyond the state-of-the-art of “Visualisation of Music”. Don’t hesitate, put your wildest ideas into a 1-page summary, submit until the 8th of June.
Meet all the dedicated addicts in Porto at SMC2009. Further details are just 1-click away.
The line-up of this year’s German Blogger Event #1 is incredible. Lawrence Lessig and Cory Doctorow are included and for sure you will meet all the famous A-blogger, B-blogger, pop scientists, celebrities and hopefully some forethinkers. I am really looking forward to join the event!
Wolfram Alpha entfacht einiges an Erwartung und Neugierde. Freunde, Kollegen, Presse, Funk und Fernsehen fragen an, was es wohl damit auf sich hat. Zahlreiche Blogpostings wurden bereits verfasst, eine Suche mit dem Memetracker von tiqqer hat viele Links herausgefischt. Natürlich habe auch ich einen Beta-Testaccount unter WolframAlpha.com beantragt … und muss weiter auf Antwort warten.
Andere auserwählte KI-Forscher und Unternehmensgründer im Umfeld des Semantic Web wurden aber bereits von Stephen Wolfram versorgt. Die Einschätzung derzeit scheint: Wolfram Alpha ist eine spannende Frage-Antwort-Engine, die vorwiegend sehr gute Ergebnisse zu faktischem Wissen liefert. Die zugrundeliegende Wissensbasis wurde von mehr als 100 Mitarbeitern auf Qualität überprüft und in einen Formalismus überführt, der speziell abgestimmte Reasoning Engines unterstützt. Beides ist motiviert von der Theorie der zellulären Automaten. Und jetzt?
Abwarten. Die Experten und Mitbewerber sind durchaus angetan, aber sehen auch die Limitationen, die dem Erfinder aber sehr wohl bewusst sind. Die Journalisten finden es einfach toll, also die Geschichte drumherum. Ein perfektes Meme, das derzeit große Runden dreht.
Weiterführende Links, die noch mehr Links enthalten anbei:
9 min about recommender systems for music and in general. Including statements of Last.fm and Pandora founders, Kathrin Passig, Forrester Research … and a few bits by Stephan Baumann.
(German only)
After all those years in basic research I finally have to accept that I live in a kind of bubble. It is the “10-years-ahead” bubble. From time to time I tend to loose contact to earth when thinking about “must-have apps” for mainstream customers. You develop a cool technology, you have a great community idea already in place but … it takes time to get the things out there and the needs and required technology and social patterns have to be in place.
Sometimes minor improvements may lead to greater user acceptance of such a “blue-sky” community. I hope that the spherical tag cloud which we have now in our open-source project OPENEER will help to increase the numer of users contributing details and links about their best moments in life with music.
Oscar Celma has been working for a couple of years on music recommendations. I know him since ISMIR2004 and over the years we met regularly and exchanged ideas, sketches, prototypes and more “philosophically influenced thoughts about the future of music in general”. Finally he finished his Ph.D about this topic. The written dissertation gives insights into the top-notch state-of-the-art in recommender systems fusing content-based, collaborative and innovative network-centric features.
Starting in November we will investigate the matter of Social Media Mining in Berlin. Therefore Kaiserslautern and the new Berlin office of DFKI will be the sites where we conduct this research. The move to Berlin helps a lot to get into closer personal contact to other scientific and commercial players over there.
co-organised and chaired by Fabien (Gouyon) / INESC. This event will be the melting pot for cutting-edge research on the future of the sonic space. Summer School included!
Please tell your students and check the site for the complete schedule. As far as I have experienced Porto under the guideline of Fabien this should be a top-notch event in 2009!
I am off for a Short Term Research Mission on Reality Mining. I will collect multimodal sensor streams including audio, GHz traffic, GPS and physiological data. The data gathering takes place outside the lab following the tradition of ethnographic research and combining it with reality mining.