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Details
Inventors: Russell-Falla, Adrian Peter; Hanson, Andrew Bard;
Assignee: Microsoft Corporation (Redmond, WA)
Primary Examiner: Ali; Mohammad
Assistant Examiner: Lin; Shew-Fen
Attorney, Agent or Firm: Senniger Powers

Computer-implemented methods are described for, first, characterizing a specific category of information content--pornography, for example--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 "training data." 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.

DETAILED DESCRIPTION In view of the foregoing background, one object of the present invention is to enable parents or guardians to exercise some control over the web page content displayed to their children.
Another object of the invention is to provide for automatic screening of web pages or other digital content.
A further object of the invention is to provide for automatic blocking of web pages that likely include pornographic or other offensive content.
A more general object of the invention is to characterize a specific category of information content by example, and then to efficiently and accurately identify instances of that category within a real-time data stream.
A further object of the invention is to support filtering, classifying, tracking and other applications based on real-time identification of instances of particular selected categories or content--with or without displaying that content.
The invention is useful for a variety of applications, including but not limited to blocking digital content, especially world-wide web pages, from being displayed when the content is unsuitable or potentially harmful to the user, or for any other reason that one might want to identify particular web pages based on their content.
According to one aspect of the invention, a method for controlling access to potentially offensive or harmful web pages includes the following steps: First, in conjunction with a web browser client program executing on a digital computer, examining a downloaded web page before the web page is displayed to the user.
This examining step includes identifying and analyzing the web page natural language content relative to a predetermined database of words--or more broadly regular expressions--to form a rating.
The database or "weighting list" includes a list of expressions previously associated with potentially offensive or harmful web pages, for example pornographic pages, and the database includes a relative weighting assigned to each word in the list for use in forming the rating



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