Abstract:
Handling a message comprises: classifying an incoming message for a recipient, storing the classified message and providing a notification to the recipient, wherein the notification includes summary information about the classified message and an interface that allows the recipient to operate on the classified message.
Abstract:
Handling a message comprises: classifying an incoming message for a recipient, storing the classified message and providing a notification to the recipient, wherein the notification includes summary information about the classified message and an interface that allows the recipient to operate on the classified message.
Abstract:
A system and method are disclosed for maintaining a whitelist, including: obtaining message data based on an email message sent by a user; extracting recipient information from message data; updating the whitelist using the recipient information.
Abstract:
A system and method are disclosed for routing a message through a plurality of test methods. The method includes: receiving a message; applying a first test method to the message; updating a state of the message based on the first test method; and determining a second test method to be applied to the message based on the state.
Abstract:
A system and method are disclosed for improving a statistical message classifier. A message may be tested with a machine classifier, wherein the machine classifier is capable of making a classification on the message. In the event the message is classifiable by the machine classifier, the statistical message classifier is updated according to the reliable classification made by the machine classifier. The message may also be tested with a first classifier. In the event that the message is not classifiable by the first classifier, it is tested with a second classifier, wherein the second classifier is capable of making a second classification. In the event that the message is classifiable by the second classifier, the statistical message classifier is updated according to the second classification.
Abstract:
A system and method are disclosed for classifying a message. The method includes receiving the message, identifying all items of a certain type in the message, determining whether each of the items meets a criterion, and in the event that all the items are determined to meet the criterion, determining a classification of the message. The system includes an interface configured to receive the message, a processor coupled to the interface, configured to identify all items of a certain type in the message; determine whether each of the items meets a criterion; and in the event that all the items are determined to meet the criterion, determine a classification of the message.
Abstract:
Handling a message comprises: classifying an incoming message for a recipient, storing the classified message and providing a notification to the recipient, wherein the notification includes summary information about the classified message and an interface that allows the recipient to operate on the classified message.
Abstract:
Systems and methods for processing a message are provided. A message may be processed to generate a message summary by removing or replacing certain words, phrases, sentences, punctuation, and the like. Message signatures based upon the message summary may be generated and stored in a signature database, which may be used to identify and/or classify spam messages. Subsequently received messages may be classified by signature and processed based on classification.
Abstract:
Systems and methods for processing a message are provided. A message may be processed to generate a message summary by removing or replacing certain words, phrases, sentences, punctuation, and the like. Message signatures based upon the message summary may be generated and stored in a signature database, which may be used to identify and/or classify spam messages. Subsequently received messages may be classified by signature and processed based on classification.
Abstract:
A system and method are disclosed for improving a statistical message classifier. A message may be tested with a machine classifier, wherein the machine classifier is capable of making a classification on the message. In the event the message is classifiable by the machine classifier, the statistical message classifier is updated according to the reliable classification made by the machine classifier. The message may also be tested with a first classifier. In the event that the message is not classifiable by the first classifier, it is tested with a second classifier, wherein the second classifier is capable of making a second classification. In the event that the message is classifiable by the second classifier, the statistical message classifier is updated according to the second classification.