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."
#74 Link suggest based on user behaviour
Tuesday June 22nd, 2004 2:09 PM
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It would be very interesting to mark somehow links on the page (and other tabbed pages) that are interesting for user (or to put them into sidebar).
As many users have already insisted on extended prefetch function, Firefox 2 could also do some analysis in the background and mark which links are interesting for user.
I guess this should be condidered for prefetched pages:
1. Bayesian based guessing what is interesting to user (user should previously mark interesting and uninteresting pages). 2. Page where the visitor already was, where he spent some time and which is updated 3. Page where user showed some activity (filling forms, clicking links, etc). 4. Pages that have link from pages that user marked as good or where he showed some activity. Yes, that's right, Firefox could compute something like personal version of Google's PageRank. Finally it may cooperate with Google to use this personal rankas a feature to compute personal search results!
Firefox should also consider probably to present separatly pages that user usually visits after the page he now visits (this requires tracking). As this links cannot be marked on the page, they should be presented in sidebar.