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."
#115 Search database of bookmarked content
Thursday July 8th, 2004 12:34 PM
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This is an extension of the idea proposed by someone for searching the local browser cache. For each page bookmarked the browser should save keywords and content from bookmarked pages. Common words (e.g. is, be, can, etc.) and duplicate/repetitive words can be dropped to reduce the size of the search database. If you have a large number of bookmarks like me, you can then search the content of the bookmarked pages locally. Its possible that the site content may have changed, and then possibly not or the content could be archived on the site. Saves having to go to Google if a bookmarked site already has what you are looking for.