Tag Archives: Bayesian spam filtering

New in Gmail Labs: Smart Labels

By | March 10, 2011

New in Gmail Labs: Smart Labels Wednesday, March 09, 2011 | 10:00 AM Posted by Stanley Chen, Software Engineer People get a lot of email these days. On top of personal messages, there are group mailing lists, social network notifications, credit card statements, newsletters you might have signed up for, and promotional email from a shopping site you… Read More »

Lost in Transmission

By | August 21, 2007

I dread to think how much eBay is paying Waggener Edstrom to handle press relations for their Toy Crusade. At least I think that’s what is being launched — all the press stuff I received this morning, including image-laden email, attachments was all in Chinese. Oh, except for the headline. I know I should, but I don’t speak… Read More »

A New Image for Your Email Address

By | June 21, 2007

John Graham-Cumming, author of Bayesian spam filter POPFile, points me to a neat tool he’s created which will turn an email address into an image that may spare you some spam from bots scouring web pages for email addresses: This site converts a text-based email address (such as me@example.com) and creates an image that can be inserted on… Read More »

How to Make More Use of the Vicar

By | February 27, 2006

In last week’s WSJ column (subscription only, I’m afraid) I wrote about how Bayesian Filters — derived from the theories of an 18th century vicar called Thomas Bayes and used to filter out spam — could also be used to sift through other kinds of data. Here’s a preliminary list of some of the uses I came across:… Read More »

A Better Way To Measure The Spam Flood

By | December 7, 2004

Here’s an interesting take on spam which helps illustrate how big a problem it has become. Florida-based email service ZeroSpam Net (0SpamNet) says (via email, afraid no URL available at time of writing) that current methods of measuring spam, as a percentage of total email traffic, has become meaningless. Two years ago, seeing Spam grow from 60% to… Read More »