Method for generating rules and parameters for assessing relevance of information derived from internet traffic

One or more non-transitory computer-readable storage media containing instructions which, when executed by one or more processors disposed in an electronic device, perform a method for applying an evaluation engine, the method comprising the steps of:

• generating a volume of test data associated with a web browsing session conducted at least in part over a communications network between a network access device and a remote server by applying one or more discrimination criteria to a stream of IP packets associated with the web browsing session;
• ascertaining known true clicks and known false clicks associated with the volume of test data by observing the behavior of the network access device or a user of the network access device during the web browsing session;
• using an evaluation engine that includes one or more deterministic rules or one or more evaluative rules that are applied to the volume of test data to generate a set of filtered results comprising modeled true clicks;
• measuring a distance between the modeled true clicks from the evaluation engine and the known true clicks;
• comparing the modeled true clicks in the set of filtered results to the known true clicks to evaluate performance of the evaluation engine;
• modifying the evaluation engine by changing the discrimination criteria or the rules responsively to the comparing;
• and
• repeating the modifying step so as to progress toward a one-to-one correspondence between the modeled true clicks and the known true clicks.

A computer-implemented method for applying an evaluation engine for distinguishing between true clicks and false clicks in a web browsing session between a network access device and a remote server, the method comprising the steps of:

• configuring a network intelligence solution with access to a stream of Internet Protocol (IP) packets utilized in the web browsing session so that the network intelligence solution may tap at least a portion of the IP packets;
• applying deep packet inspection to the tapped IP packets 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;
• applying an evaluation engine incorporating rules arranged for filtering the extracted information to include modeled true clicks and exclude modeled false clicks, the rules being deterministic or implementing aggregative evaluation of each of the discrimination criteria;
• comparing a result of application of the evaluation engine to the extracted information against known true clicks that a observed to occur during the web browsing session,
• modifying the evaluation engine by changing the discrimination criteria or the rules responsively to the comparing;
• and
• repeating the modifying step so as to progress toward a one-to-one correspondence between the modeled true clicks and the known true clicks.