International Business Machines Corporation

Travis Woodruff

Robert S Keller

Hemanth Puttaswamy

Srinivasa Ogireddy

Michael Shannon Nichols

Steven Kenneth Howard

Nipun Batra

Steve Howard

Embodiments of the present invention are directed to the use of a Bloom Filter in a web analytics application. Large sets of data, obtained from on and offline sources, may be analyzed using a Bloom Filter to find desired patterns within the data. The use of a Bloom Filter in the analysis allows for a more efficient use of resources to perform the analysis.

Using a bloom filter in a web analytics application

A process for tracking a consumer's behavior based on his or her entries into a number of cybernetic device sources such as personal computers, automated goods and services dispensing kiosks, automated teller machines and cell phones does not depend exclusively upon the presence of cookies implanted into such devices by vendors or upon a consumer's having provided a positive identification form. The process uses a pairing algorithm to comb elements of information from the source device visitation records in search of one or more common characteristics that can be presumptively attributed to a single consumer. Characteristics such as source device identifiers, phone numbers, street addresses or email addresses are each weighted by a weighting factor that is used to identify the consumer and attribute the visitation record and its associated activity to that consumer at a calculated confidence level. The attributed information can analyzed to track that consumer's behavior.

Multi-source consumer behavior tracking system

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

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Roanoke, TX, United States of America

Travis Woodruff