Microsoft Technology Licensing, LLC

Webtrends Corporation

Rulespace, Inc.

Andrew Bard Hanson

Martin Waugh

Adrian Peter Russell-Falla

David B Lamkins

Systems and methods of tracking activity over networks and, in particular, tracking web activity over the Internet are described. Exemplary systems and methods may include a receiver for receiving a request from a visitor for a data object, a processor for providing a cookie to track the visitor's web activity, and a transmitter for transmitting the cookie to the visitor in response to the request. The cookie may comprise tracking information for a plurality of web sites visited by the visitor.

Systems and methods for tracking web activity

Computer-implemented methods are described for, first, characterizing a specific category of information content&#x2014;pornography, for example&#x2014;and then accurately identifying instances of that category of content within a real-time media stream, such as a web page, e-mail or other digital dataset. This content-recognition technology enables a new class of highly scalable applications to manage such content, including filtering, classifying, prioritizing, tracking, etc. An illustrative application of the invention is a software product for use in conjunction with web-browser client software for screening access to web pages that contain pornography or other potentially harmful or offensive content. A target attribute set of regular expression, such as natural language words and/or phrases, is formed by statistical analysis of a number of samples of datasets characterized as 'containing,' and another set of samples characterized as 'not containing,' the selected category of information content. This list of expressions is refined by applying correlation analysis to the samples or &#x201c;training data.&#x201d; Neural-network feed-forward techniques are then applied, again using a substantial training dataset, for adaptively assigning relative weights to each of the expressions in the target attribute set, thereby forming an awaited list that is highly predictive of the information content category of interest.

Rating and controlling access to emails

A method of receiving a network resource address and creating a copy of the network resource and storing the created copy in a database is provided. This creation and storage of a copy of the network resource is performed when there does not exist, in the database, information derived from the resource pointed to by the network address.

System for creating a space-efficient document categorizer for training and testing of automatic categorization engines

Computer-implemented methods are described for, first, characterizing a specific category of information content&mdash;pornography, for example&mdash;and then accurately identifying instances of that category of content within a real-time media stream, such as a web page, e-mail or other digital dataset. This content-recognition technology enables a new class of highly scalable applications to manage such content, including filtering, classifying, prioritizing, tracking etc. An illustrative application of the invention is a software product for use in conjunction with web-browser client software for screening access to web pages that contain pornography or other potentially harmful or offensive content. A target attribute set of regular expression, such as natural language words and/or phrases, is formed by statistical analysis of a number of samples of datasets characterized as &ldquo;containing,&rdquo; and another set of samples characterized as &ldquo;not containing,&rdquo; the selected category of information content. This list of expressions is refined by applying correlation analysis to the samples or &ldquo;training data.&rdquo; Neural-network feed-forward techniques are then applied, again using a substantial training dataset, for adaptively assigning relative weights to each of the expressions in the target attribute set, thereby forming an awaited list that is highly predictive of the information content category of interest.

Method for scanning, analyzing and handling various kinds of digital information content

Computer-implemented methods are described for, first, characterizing a specific category of information content&mdash;pornography, for example&mdash;and then accurately identifying instances of that category of content within a real-time media stream, such as a web page, e-mail or other digital dataset. This content-recognition technology enables a new class of highly scalable applications to manage such content, including filtering, classifying, prioritizing, tracking, etc. An illustrative application of the invention is a software product for use in conjunction with web-browser client software for screening access to web pages that contain pornography or other potentially harmful or offensive content. A target attribute set of regular expression, such as natural language words and/or phrases, is formed by statistical analysis of a number of samples of datasets characterized as &ldquo;containing,&rdquo; and another set of samples characterized as &ldquo;not containing,&rdquo; the selected category of information content. This list of expressions is refined by applying correlation analysis to the samples or &ldquo;training data.&rdquo; Neural-network feed-forward techniques are then applied, again using a substantial training dataset, for adaptively assigning relative weights to each of the expressions in the target attribute set, thereby forming an awaited list that is highly predictive of the information content category of interest.

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Portland, OR, United States of America

Andrew Bard Hanson