International Business Machines Corporation

Steven Kenneth Howard

David Charles Martin

Mark Earl Paul Plutowski

Robert S Keller

Travis Woodruff

Michael Shannon Nichols

Methods and arrangements to analyze web traffic of a portal are contemplated. Embodiments include transformations, code, state machines or other logic to analyze web traffic of a portal by a portlet receiving a request for web page content from the portal and generating a fragment of a web page. The fragment may include code to collect data from clients on web traffic of the portlet and to transmit the data to a facility for the collection of data on web traffic of the portal and the portlet. Some embodiments may involve a portal requesting web page content from a portlet, and the portal receiving a fragment of a web page from the portlet. The fragment may include code to collect data from clients on web traffic of the portlet and to transmit the data to the data collection facility.

Analyzing web site traffic

A method and device to generate behavior for emulated visitors traversing an internet web site. The visitors may display behavior that is indistinguishable from those of actual users, a subset of the actual users, or the behavior may be purely hypothetical, such as when a visitor acts without evidence of having made an intentional choice. The invention tracks the actions of the visitors and develops reference distributions that may be compared to a site's usage distributions as obtained from actual visitors to the site. The reference distributions are then used to implement statistical estimation methods that measure relative information content. The invention comprises a general implementation and a deterministic implementation. The general version may be applied to live production web sites, and the deterministic version is best suited to offline processing.

Method and system for emulating web site traffic to identify web site usage patterns

A method and apparatus that allows association rules defining URL-URL relationships, and URL-URL relationships that are strongly influenced by a web site's topology, to be identified and respectively qualified. Superfluous association rules may be separated from non-topology affected association rules and discounted as desired. The invention may be implemented in conjunction with a probalistic generative method used to model a web site and simulate the behavior of a visitor traversing the site. The invention further allows randomized web site visitor behavior to be separated into &ldquo;interesting&rdquo; and &ldquo;uninteresting&rdquo; behavior.

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Irving, TX, United States of America

Steven Kenneth Howard