Spam filtering based on statistics and token frequency modeling
US8364766B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 4, 2008 |
| Grant date | Jan 29, 2013 |
| Priority date | — |
| Expiry date | Mar 26, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Embodiments are directed towards classifying messages as spam using a two phased approach. The first phase employs a statistical classifier to classify messages based on message content. The second phase targets specific message types to capture dynamic characteristics of the messages and identify spam messages using a token frequency based approach. A client component receives messages and sends them to the statistical classifier, which determines a probability that a message belongs to a particular type of class. The statistical classifier further provides other information about a message, including, a token list, and token thresholds. The message class, token list, and thresholds are provided to the second phase where a number of spam tokens in a given message for a given message class are determined. Based on the threshold, the client component then determines whether the message is spam or non-spam.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.