The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 01, 2002
Filed:
Mar. 16, 2001
Soumen Chakrabarti, Maharashtra, IN;
Byron Edward Dom, Los Gatos, CA (US);
David Andrew Gibson, Berkeley, CA (US);
Prabhakar Raghavan, Saratoga, CA (US);
Sridhar Rajagopalan, San Jose, CA (US);
Shanmugasundaram Ravikumar, San Jose, CA (US);
Andrew Tomkins, San Jose, CA (US);
International Business Machines Corporation, Armonk, NY (US);
Abstract
A method for cataloging, filtering and ranking information, as for example, World Wide Web pages of the Internet. The method is preferably implemented in computer software and features steps for enabling a user to interactively create an information database including preferred information elements such as preferred-authority World Wide Web pages. The method includes steps for enabling a user to interactively create a frame-based, hierarchical organizational structure for the information elements, and steps for identifying and automatically filtering and ranking by relevance, information elements, such as World Wide Web pages for populating the structure, to form, for example, a searchable, World Wide Web page database. Additionally, the method features steps for enabling a user to interactively define a frame-based, hierarchical information structure for cataloging information, identifying a preliminary population of information elements for a particular hierarchical category arranged as a frame, based upon the respective frame attributes, and thereafter, expanding the information population to include related information, and subsequently, automatically filtering and ranking the information based upon relevance, and then populating the hierarchical structure with a definable portion of the filtered, ranked information elements.