Proposals for Incorporating Machine Learning in Mozilla Firefox
Friday June 18th, 2004
Blake Ross writes: "I will be doing research this summer at Stanford with Professor Andrew Ng about how we can incorporate machine learning into Firefox. We're looking for ideas that will make Firefox 2.0 blow every other browser out of the water. People who come up with the best 3-5 ideas win Gmail accounts, and if we implement your idea you'll be acknowledged in both our paper and in Firefox credits. Your idea will also be appreciated by the millions of people who use Firefox :-). We'll also entertain Thunderbird proposals."
#50 Nuke Anything + Bayesian Filter
Sunday June 20th, 2004 11:15 PM
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I think the solution is to make something like Nuke Anything <http://update.mozilla.org…mp;category=Miscellaneous> that you could train with a Bayesian filter to pre-emptively nuke what you don't want to see. This would be good not just for clearing out the clutter, but for blocking offensive content like pornography, hate speech, etc.