Read/WriteWeb reports on Tiinker, a news site that uses machine learning to figure out what sort of articles you’re interested in, without messing around with all that social information that reddit, digg, etc. are based on.
I think this is a huge step backwards: machine learning is fine at figuring out topic, but lousy at *quality*. Further, how can Tiinker know your interest in something new that you haven’t read about yet?
I’d be much more enthusiastic about an approach that would combine the social news of a reddit or digg with machine learning to create smart, social news. In a system like this, people would read news that they’re interested in, based on what other people like them have been reading, and their own automatically learned profile.
What do you think?
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