Training filters for detecting spasm based on IP addresses and text-related features

Number of patents in Portfolio can not be more than 2000

United States of America Patent

PATENT NO 7464264
APP PUB NO 20040260922A1
SERIAL NO

10809163

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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The subject invention provides for an intelligent quarantining system and method that facilitates detecting and preventing spam. In particular, the invention employs a machine learning filter specifically trained using origination features such as an IP address as well as destination feature such as a URL. Moreover, the system and method involve training a plurality of filters using specific feature data for each filter. The filters are trained independently each other, thus one feature may not unduly influence another feature in determining whether a message is spam. Because multiple filters are trained and available to scan messages either individually or in combination (at least two filters), the filtering or spam detection process can be generalized to new messages having slightly modified features (e.g., IP address). The invention also involves locating the appropriate IP addresses or URLs in a message as well as guiding filters to weigh origination or destination features more than text-based features.

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Patent Owner(s)

  • MICROSOFT TECHNOLOGY LICENSING, LLC

International Classification(s)

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Goodman, Joshua T Redmond, WA 100 8757
Hulten, Geoffrey J Seattle, WA 41 2494
Rounthwaite, Robert L Fall City, WA 76 5357
Yih, Wen-tau Champaign, IL 19 832

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