On Thu, 2 Feb 2006 15:33:20 +0100 [EMAIL PROTECTED] (Tomas Zerolo) wrote: > - I wonder whether some of the techniques used for fighting spam > could be applied to this. Would it be possible to recognize the same > writer (in different disguises) based on tri-gram (n-gram) > frequency distributions? What about a karma system à la slashdot > (but much more diverse: GroupLens comes to mind)?
Baaaaaaad. Spam is easily humanly-recognisable by at least 20% of the net population, so a spam-filter is humanly verifiable to ensure it doesn't block too much ham. This technique would be difficult to check up on because you wouldn't in general be able to be sure what was "spam" and what was "ham". -- Robin _______________________________________________ Gnu-arch-users mailing list [email protected] http://lists.gnu.org/mailman/listinfo/gnu-arch-users GNU arch home page: http://savannah.gnu.org/projects/gnu-arch/
