System for reclassification of electronic messages in a spam filtering system
AssigneeGoogle Inc.
InventorsDaniel Wesley Dulitz, Seth J. Golub
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Abstract
Systems and methods are provided that, in response to obtaining an email to a recipient from a sender, and in accordance with a determination that an indirect relationship exists between the sender and the recipient, determine a spam probability of the email by evaluating statistical information regarding the historical electronic interactions associated with the sender. In this way, the email is classified according to the identified spam probability.
Claims15
A method comprising:
- obtaining an email that is sent from a sender to a recipient;
- and
- in response to determining that no direct relationship exists between the sender and the recipient, and instead that an indirect relationship exists between the sender and the recipient:
- determining, based at least in part on the indirect relationship, a spam probability associated with the email by evaluating statistical information regarding historical electronic interactions associated with the sender and the recipient, wherein the historical electronic interactions associated with the sender and the recipient includes historical electronic interactions from one or more non-email applications, and wherein the statistical information includes information associated with a frequency of interaction between the sender and the recipient;
- and
- classifying the email according to the identified spam probability,
- wherein the direct relationship is defined by a historical bi-directional interaction between the sender and the recipient in which the recipient has previously accepted and replied to at least one electronic message sent by the sender, and
- wherein the indirect relationship is defined only by a historical unidirectional interaction between the sender and the recipient in which the recipient has not previously accepted and replied to any email messages sent by the sender.
A system comprising:
- at least one processor;
- and
- a memory storing one or more programs to be executed by the at least one processor, the one or more programs comprising instructions to:
- obtain an email that is sent from a sender to a recipient;
- and
- in response to determining that no direct relationship exists between the sender and the recipient, and instead that an indirect relationship exists between the sender and the recipient:
- determine, based at least in part on the indirect relationship, a spam probability associated with the email by evaluating statistical information regarding historical electronic interactions associated with the sender and the recipient, wherein the historical electronic interactions associated with the sender and the recipient includes historical electronic interactions from one or more non-email applications, and wherein the statistical information includes information associated with a frequency of interaction between the sender and the recipient;
- and
- classify the email according to the identified spam probability,
- wherein the direct relationship is defined by a historical bi-directional interaction between the sender and the recipient in which the recipient has previously accepted and replied to at least one electronic message sent by the sender, and
- wherein the indirect relationship is defined only by a historical unidirectional interaction between the sender and the recipient in which the recipient has not previously accepted and replied to any email messages sent by the sender.
A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions to:
- obtain an email that is sent from a sender to a recipient;
- and
- in response to determining no direct relationship exists between the sender and the recipient, and instead that an indirect relationship exists between the sender and the recipient:
- determine, based at least in part on the indirect relationship, a spam probability associated with the email by evaluating statistical information regarding historical electronic interactions associated with the sender and the recipient, wherein the historical electronic interactions associated with the sender and the recipient includes historical electronic interactions from one or more non-email applications, and wherein the statistical information includes information associated with a frequency of interaction between the sender and the recipient;
- and
- classify the email according to the identified spam probability,
- wherein the direct relationship is defined by a historical bi-directional interaction between the sender and the recipient in which the recipient has previously accepted and replied to at least one electronic message sent by the sender, and
- wherein the indirect relationship is defined only by a historical unidirectional interaction between the sender and the recipient in which the recipient has not previously accepted and replied to any email messages sent by the sender.
Dependencies are inferred from the claim text.