Abstract: A method and system for filtering email spam using email noise reduction are described. In one embodiment, the method includes detecting, in an email message, data indicative of noise added to the email message to avoid spam filtering. The method further includes modifying the content of the email message to reduce the noise, and comparing the modified content of the email message with the content of a spam message.

Abstract: A multi-tier application for interaction with a user interface. The application comprises a presentation tier (e.g. a web server with a JSP/servlet engine) and a business logic tier (e.g. an application server) to manipulate data for subsequent presentation on the user interface. A direction module, such as a requested resource definition, has a plurality presentation and function definitions for accessing a presentation component defined externally to the requested resource definition and the function definition for identifying a function component also defined externally to the requested resource definition.

Abstract: Systems and methods for filtering fraudulent email messages are described. In one embodiment, a method includes receiving an email message, determining whether the email message is indicative of fraud, and creating a fraud filter based on the email message if the email message is fraudulent.

Abstract: Systems and methods for filtering spam messages utilizing a URL filtering module are described. In one embodiment, the method includes detecting, in an incoming message, data indicative of a URL and comparing the URL from the incoming message with URLs characterizing spam. The method further includes determining whether the incoming message is spam based on the comparison of the URL from the incoming message with the URLs characterizing spam.

Abstract: A method and system for filtering email spam using email noise reduction are described. In one embodiment, the method includes detecting, in an email message, data indicative of noise added to the email message to avoid spam filtering. The method further includes modifying the content of the email message to reduce the noise, and comparing the modified content of the email message with the content of a spam message.

Abstract: A method and system for filtering email spam using email noise reduction are described. In one embodiment, the method includes detecting, in an email message, data indicative of noise added to the email message to avoid spam filtering. The method further includes modifying the content of the email message to reduce the noise, and comparing the modified content of the email message with the content of a spam message.

Abstract: A multi-tier application for interaction with a user interface, such as a browser on a PC or PDA. The application comprises a presentation tier (such as a web server with a JSP/servlet engine) and a business logic tier (such as an application server) to manipulate data for subsequent presentation on the user interface. A direction module has a plurality of coupled directions, including a function direction to direct a corresponding functional component to perform a data processing function using the business logic tier and provide a data processing output, and a presentation direction to direct a corresponding presentation component to incorporate the data processing output, when applicable, into a presentation template to produce a presentation element for the user interface. The function component and presentation component are independent and separate from each other, the connection being the function component produces the data and the presentation component consumes the output data.

Abstract: Systems and methods for filtering spam messages utilizing a URL filtering module are described. In one embodiment, the method includes detecting, in an incoming message, data indicative of a URL and comparing the URL from the incoming message with URLs characterizing spam. The method further includes determining whether the incoming message is spam based on the comparison of the URL from the incoming message with the URLs characterizing spam.

Abstract: A multi-tier application for interaction with a user interface comprises a presentation tier (e.g. a web server with a JSP/servlet engine) and a business logic tier (e.g. an application server) to manipulate data for subsequent presentation on the user interface. A direction module, such as a requested resource definition, has a plurality presentation and function definitions for accessing a presentation component defined externally to the requested resource definition and the function definition for identifying a function component also defined externally to the requested resource definition.

Abstract: A multi-tier application for interaction with a user interface, such as a browser on a PC or PDA. The application comprises a presentation tier (such as a web server with a JSP/servlet engine) and a business logic tier (such as an application server) to manipulate data for subsequent presentation on the user interface. A direction module has a plurality of coupled directions, including a function direction to direct a corresponding functional component to perform a data processing function using the business logic tier and provide a data processing output, and a presentation direction to direct a corresponding presentation component to incorporate the data processing output, when applicable, into a presentation template to produce a presentation element for the user interface. The function component and presentation component are independent and separate from each other, the connection being the function component produces the data and the presentation component consumes the output data.

Abstract: A method and system for filtering email spam using email noise reduction are described. In one embodiment, the method includes detecting, in an email message, data indicative of noise added to the email message to avoid spam filtering. The method further includes modifying the content of the email message to reduce the noise, and comparing the modified content of the email message with the content of a spam message.

Abstract: A method and system for filtering email spam based on similarity measures are described. In one embodiment, the method includes receiving an incoming email message, generating data characterizing the incoming email message based on the content of the incoming email message, and comparing the generated data with a set of data characterizing spam messages. The method further includes determining whether a resemblance between the data characterizing the incoming email message and any data item from the set of data characterizing spam messages exceeds a threshold.