Paul Graham, the creator of Yahoo! Store and other Lisp software, is working on a Web-based e-mail service that detects spam by analyzing word choice in e-mail. The technique requires separate collections of spam and non-spam and works best when personally tuned to your own actual e-mail rather than a generic database of e-mail. "Using a slightly tweaked (as described below) Bayesian filter, we now miss less than 5 per 1000 spams, with 0 false positives," Graham writes. I began filing deleted normal e-mail and spam separately today. When I've amassed at least 4,000 e-mails, I'm going to implement Graham's idea in PocoMail, a scriptable Windows e-mail client I've been using for a while.
Add a Comment
All comments are moderated before publication. These HTML tags are permitted: <p>, <b>, <i>, <a>, and <blockquote>. This site is protected by reCAPTCHA (for which the Google Privacy Policy and Terms of Service apply).
Social Media
Subscriptions
Blogroll
Projects
Statistics
This blog has been published since Nov. 7, 1999 (a span of 9,176 days).
Thank you for visiting Workbench.
