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Method of building a dynamic, learning email spam filter through heuristics

IP.com Disclosure Number: IPCOM000014171D
Original Publication Date: 2002-Mar-28
Included in the Prior Art Database: 2003-Jun-19
Document File: 2 page(s) / 39K

Publishing Venue

IBM

Abstract

Disclosed is a method of building a dynamic, learning email spam filter through heuristics. The filter proposed learns the behavior of the user and uses this information in a heuristic manner. The filter deduces what the user considers spam email and the spam email can be automatically deleted in the future. One of the annoying task of users of email is wading through the daily accumulation of spam in their email inbox. Spam is defined as any sort of bothersome or unsolicited email. Currently, there are some solutions to help mitigate the situation. These partial solutions are typically hardcoded filters for email. Thus, when a certain sender or subject matter is received by the user's email program, and if portions of the email contain a predetermined criteria, the email is automatically deleted.

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Method of building a dynamic, learning email spam filter through heuristics

Disclosed is a method of building a dynamic, learning email spam filter through heuristics. The filter proposed learns the behavior of the user and uses this information in a heuristic manner. The filter deduces what the user considers spam email and the spam email can be automatically deleted in the future. One of the annoying task of users of email is wading through the daily accumulation of spam in their email inbox. Spam is defined as any sort of bothersome or unsolicited email. Currently, there are some solutions to help mitigate the situation. These partial solutions are typically hardcoded filters for email. Thus, when a certain sender or subject matter is received by the user's email program, and if portions of the email contain a predetermined criteria, the email is automatically deleted.

However, the problem is the people conducting the spam know that filters are out there to kill their mail. Thus, many spammers move from account to account or they hide the source of the sender or they change subject heading to fool the filters. The filter proposed in this disclosure is one in which the filter is made to learn the behavior of what the user would consider spam and use this information in a heuristic manner to deduce what mail to delete in the future. What is proposed is that when a piece of spam is received, the user can use a special delete called "SPAM DELETE". When this occurs, not only is the mail thrown away (typically unopened), but the filter notes the following: the address of the sender, keywords in the subject, and keywords in the body of the note. Hence, the learning filter reads the email for the user...