Abstract: A computer implemented method determines validity of web-based interactions. Web-based interaction data relating to a web-based interaction may be accessed. The web-based interaction data may include aggregate measure data that may include a number of unique queries per web-based session. The validity of the web-based interaction may be determined based on the aggregate measure data.

Abstract: A computer implemented method determines validity of web-based interactions. Web-based interaction data relating to a web-based interaction may be accessed. The web-based interaction data may include aggregate measure data that may include a number of unique queries per web-based session. The validity of the web-based interaction may be determined based on the aggregate measure data.

Abstract: A computer implemented method determines validity of web-based interactions. Web-based interaction data relating to a web-based interaction may be accessed. The web-based interaction data may include aggregate measure data that may include a number of unique queries per web-based session. The validity of the web-based interaction may be determined based on the aggregate measure data.

Abstract: A computer implemented method determines validity of web-based interactions. Web-based interaction data relating to a web-based interaction may be accessed. The web-based interaction data may include aggregate measure data that may include a number of unique queries per web-based session. The validity of the web-based interaction may be determined based on the aggregate measure data.

Abstract: A computer implemented method can determine validity of web-based interactions. Web-based interaction data relating to a web-based interaction may be accessed. The web-based interaction data may include aggregate measure data that may include a number of unique queries per web-based session. The validity of the web-based interaction may be determined based on the aggregate measure data.

Abstract: A computer implemented method classifies a user interaction on a network. User interaction data relating to a user interaction on a network is accessed. The user interaction data comprises an aggregate measure data or a unique feature data. The user interaction data is processed to generate a score for the user interaction and determines a classification of the user interaction based on the score.

Abstract: A computer implemented method classifies a user interaction on a network. User interaction data relating to a user interaction on a network is accessed. The user interaction data comprises an aggregate measure data or a unique feature data. The user interaction data is processed to generate a score for the user interaction and determines a classification of the user interaction based on the score.

Abstract: A computer implemented system classifies a user interaction on a network. An interface collects a user interaction data relating to a user interaction on a network. The user interaction data comprises an aggregate measure data or a unique feature data. The processor, which is connected to the interface, processes the user interaction data to generate a value score for the user interaction and determines a classification of the user interaction based on the value score.

Abstract: A computer implemented system classifies a user interaction on a network. An interface collects a user interaction data relating to a user interaction on a network. The user interaction data comprises an aggregate measure data or a unique feature data. The processor, which is connected to the interface, processes the user interaction data to generate a value score for the user interaction and determines a classification of the user interaction based on the value score.

Abstract: The methods and systems of the invention utilize limited data to yield information about the validity of any given interaction with a website. Once validity information is available, an operator can determine whether or not to continue offering interactions to a given user. The determination could also relate to whether to report website interaction statistics based on undesired interactions, how to handle billing or payment for such undesired interactions, and what type of content to send to users who are interacting with the website in an undesirable manner.

Abstract: A system and method are disclosed for classifying a user interaction on a network. A user interaction is identified on a network and user interaction data is collected relating to the user interaction on the network. The user interaction data includes an aggregate measure data and a unique feature data. The user interaction data is processed to generate a value score for the interaction. A classification of the user interaction is determined based on the value score.

Abstract: The methods and systems of the invention utilize limited data to yield information about the validity of any given interaction with a website. Once validity information is available, an operator can determine whether or not to continue offering interactions to a given user. The determination could also relate to whether to report website interaction statistics based on undesired interactions, how to handle billing or payment for such undesired interactions, and what type of content to send to users who are interacting with the website in an undesirable manner.

Abstract: The methods and systems of the invention utilize limited data to yield information about the validity of any given interaction with a website. Once validity information is available, an operator can determine whether or not to continue offering interactions to a given user. The determination could also relate to whether to report website interaction statistics based on undesired interactions, how to handle billing or payment for such undesired interactions, and what type of content to send to users who are interacting with the website in an undesirable manner.

Abstract: A computer program and task request interface which enables large volumes of data to be processed efficiently and rapidly by multiple computers on a network. The data that requires processing can be in any format. The task request interface allows any arbitrary task to be performed on the input data. The number of computers which may participate in any given data processing task is essentially unlimited. The number of programs that can participate in the system is also essentially unlimited if the program uses run time evaluable code. Any computer operating system that runs a specified computer language interpreter can participate in the distributed processing of the input data.

Abstract: The methods and systems of the invention utilize limited data to yield information about the validity of any given interaction with a website. Once validity information is available, an operator can determine whether or not to continue offering interactions to a given user. The determination could also relate to whether to report website interaction statistics based on undesired interactions, how to handle billing or payment for such undesired interactions, and what type of content to send to users who are interacting with the website in an undesirable manner.