Machine learning fuels Sun music recommendation technology – Network World

Full story at:

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 and Associate Dean, Learning & Assessment, at Athabasca University, where I research lots of things broadly in the area of learning and technology, and I teach mainly in the School of Computing & Information Systems. I am a proud Canadian, though I was born in the UK. I am married, with two grown-up children, and three growing-up grandchildren. We all live in beautiful Vancouver.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.