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Alex Rivera
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I've read the book Programming Collective Intelligence and found it fascinating. I'd recently heard about a challenge amazon had posted to the world to come up with a better recommendation engine for their system. The winner apparently produced the best algorithm by limiting the amount of information that was being fed to it. As a first rule of thumb I guess... " More information is not necessarily better when it comes to fuzzy algorithms." I know's it's subjective, but ultimately it's a measurable thing (clicks in response to recommendations). Since most of us are dealing with the web these days and search can be considered a form of recommendation... I suspect I'm not the only one who'd appreciate other peoples ideas on this. In a nutshell, "What is the best way to build a recommendation ?"
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