I like the "machine learning" part of the api, but there seems to be no way of improving the learning by giving feedback.
Just testing another article on HN[1] that the tags are pretty far off. I expected iPad 2 and photos/pixels but i got 4G and manufacturing instead[2]. So I am really interested in how the system came up with the right and wrong tags (which I guess sound more important than find the body of the article, as people are making that easier for facebook and others through Open Graph/RDFa/hNews etc.)
Just testing another article on HN[1] that the tags are pretty far off. I expected iPad 2 and photos/pixels but i got 4G and manufacturing instead[2]. So I am really interested in how the system came up with the right and wrong tags (which I guess sound more important than find the body of the article, as people are making that easier for facebook and others through Open Graph/RDFa/hNews etc.)
[1]: http://daringfireball.net/2011/03/bending_over_backwards
[2]: tags received: Recyclable materials, Battery, 4G, Apple Inc., Rechargeable battery, Walter Mossberg, Technology, Computing, Manufacturing, Technology_Internet