Method For Generating Rules and Parameters for Assessing Relevance of Information Derived From Internet Traffic

• US 20140304653A1
• Filed: 06/20/2014
• Published: 10/09/2014
• Est. Priority Date: 06/09/2011
• Status: Abandoned Application

• Current Assignee: GfK US Holdings, Inc. (GfK Nürnberg eV)
• Original Assignee: GfK US Holdings, Inc. (GfK Nürnberg eV)
• Inventors: Fischer-Wuenschel, Bernhard, Wendlik, Renate, Ruf, Thomas
• Application Number:
  US14/310,817
• Publication Number:
  US 20140304653A1
• Time in Patent Office: Days
• US Class Current: 715/810
• CPC Class Codes: G06F 3/04812 Interaction techniques based on cursor appearance or behaviour, e.g. being affected by the presence of displayed objects
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06N 5/025 Extracting rules from data
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 43/028 by filtering

Abstract

A method is disclosed for generating a set of optimal rules and parameters for use by an evaluation engine on a volume of information extracted from a stream of IP packets associated with a web browsing session conducted over a network in order to filter user-initiated traffic flowing across the network from non-user-initiated traffic. Deep packet inspection is performed to extract the volume of information from the stream that conforms to at least one discrimination criteria. An initial iteration of application of the evaluation engine to the volume is performed by selecting initial discrimination criteria and rules for generating the filtered results and a distance between the filtered results and known actual user-initiated traffic is measured. Subsequent iterations of application of the evaluation engine to the volume are performed by changing the discrimination criteria and/or rules until there is no significant improvement in the measured distance.

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21. A computer-implemented method for distinguishing between true clicks and false clicks in respective web browsing sessions between corresponding network access devices and a remote server, the method comprising the steps of:

applying deep packet inspection to a stream of IP packets utilized in the web-browsing sessions to extract selected information from the IP packets according to discrimination criteria, the discrimination criteria including at least one of technical data, page information, or timing-based information;

operating an evaluation engine incorporating at least one rule or criterion modifiable to progress toward a one to one correspondence between a number of modeled true clicks and a number of true clicks known from selected information extracted from a sample stream of IP packets according to the discrimination criteria; and

applying rules obtained by operation of the evaluation engine to information extracted from web browsing sessions between the network access devices and a remote server.

22. The method of claim 21, wherein web-browsing sessions originating between the network access devices and a remote server include hypertext transfer protocol (http) information requests.

23. The method of claim 21, wherein web-browsing sessions originating between the network access devices and a remote server include information requests and wherein the at least one rule or criterion applied during operation of the evaluation engine includes a requirement that the file type specified by a response to an information request derived from the sample stream have a text/html, xhtml, xml, or plain/text extension.