Machine learning fuels Sun music recommendation technology – Network World

http://community.brighton.ac.uk/jd29/weblog/18743.html

Full story at: http://jondron.net/cofind/frshowresource.php?tid=5325&resid=1343

Very interesting mis of automated and social tools for recommending music. The pattern matching stuff is quite cool, but I particularly like the social tagging which mines the Web for a multi-dimensional tag list (reminds me a bit of PHOAKS in this), rather than relying on potentially biased or misleading personal tags. They are also doing some interesting work on visualisation of the results. And it is open source. All in all, looks like a system that marries a great selection of technologies and research-informed ideas to produce something that might be really useful.
Created:Thu, 15 Nov 2007 16:49:51 GMT

I am a professional learner, employed as a Full Professor at Athabasca University, where I research lots of things broadly in the area of learning and technology and teach mainly in the School of Computing & Information Systems, of which I am the Chair.
I am married, with two grown-up children, and live in beautiful Vancouver.

Leave a Reply