System and method to determine the validity of an interaction on a network
AssigneeGo To.com, Inc.
InventorStephan Doliov
Life of this patent
Estimating the term…
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.
Claims43
A method of identifying illegitimate interactions of a presumed user on a network, the method comprising:
- collecting data from user interactions on a network, the data including aggregate measure data and unique feature data about the presumed user;
- storing the data in a database;
- building predictive models with the aggregate measure and unique feature data to identify illegitimate interactions with the network;
- and
- identifying the illegitimate interactions in the database using the predictive models.
A method for creating reports according to website interactions after determining the validity of the website interactions, the method comprising:
- collecting aggregate measure data and unique feature data about the website interaction;
- building predictive models with the aggregate measure and unique feature data to identify undesirable interactions with the website;
- and
- removing the undesirable interactions from the reports, once identified.
A system for creating reports according to website interactions after determining the validity of the website interactions, the method comprising:
- a first processor to collect aggregate measure data and unique feature data about a website user;
- a second processor to create predictive models with the aggregate measure and unique feature data to identify undesirable interactions with the website, wherein the undesirable interactions are removed from the reports, once identified.
A method of rating user interactions on a network, the method comprising:
- collecting data from user interactions on a network, the data including aggregate measure data and unique feature data about the user;
- storing the data in a database;
- and
- building predictive models with the aggregate measure and unique feature data to rate the interactions with the network.
Dependencies are inferred from the claim text.