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."

#88 bad search engine results

by lima1

Thursday June 24th, 2004 8:32 AM

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if I search in google, I try the first most promising hits, open it, and close it very fast, if I can't find the informations I search. when I search for mathematical formulas for example, I get often very popular sites, that are not very detailed. the best results are the one with many formulas, often produced by latex2html, hosted on university servers. in the trainingsphase, the browser could learn, what pages I find very interesting (long opened, but active (scrolling, return to this tab, ...). After that, browser could prefetch links (maybe this could be machine learned, too) and examine them in the background, while I read the first hit, which other links are maybe more interesting and give me a suggestion.