SYSTEM AND METHOD FOR DETECTING CONTENT SIMILARITY WITHIN EMAILS DOCUMENTS EMPLOYING SELECTIVE TRUNCATION

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United States of America Patent

APP PUB NO 20090089383A1
SERIAL NO

12059130

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Abstract

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A system and a method for detecting content similarities in different emails employing selective truncation are disclosed. In one embodiment, a method comprises generating a first token value dependent on a first subset of characters at a beginning portion of a first email document, generating a second token value dependent on a second subset of characters at an ending portion of a first email document, and depending upon the first and second token values, selectively generating one or more hash values corresponding to a sequence of characters between the first subset and the second subset. The method further comprises generating a third token value dependent on a third subset of characters at a beginning portion of a second email document, generating a forth token value dependent on a forth subset of characters at an ending portion of a second email document, depending upon the first and second token values, and selectively generating one or more hash values corresponding to a sequence of characters between the first subset and the second subset. The method finally comprises comparing the one or more hash values corresponding to the sequence of characters between the first subset and the second subset with the one or more hash values corresponding to the sequence of characters between the third subset and the fourth subset.

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Patent Owner(s)

Patent OwnerAddress
SYMANTEC CORPORATION350 ELLIS STREET MOUNTAIN VIEW CA 94043

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Ngan, Tsuen Wan Los Angeles, US 4 39

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