System and method for optimal adaptive matching of users to most relevant entity and information in real-time

US6134532A · kind A · utility

Assignee

• Aptex Software, Inc. · US

Inventors

• Michael A. Lazarus · San Diego, US
• William R. Caid · San Diego, US
• Richard S. Pugh · Poway, US
• Bradley D. Kindig · San Diego, US
• Gerald S. Russell · San Diego, US
• Kenneth B. Brown · San Diego, US
• Ted E. Dunning · San Diego, US
• Joel Carleton · San Diego, US

Key dates

• Filing date: Nov 14, 1997
• Grant date: Oct 17, 2000
• Expiry date: Nov 14, 2017

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0269
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A system and method for selecting and presenting personally targeted entities such as advertising, coupons, products and information content, based on tracking observed behavior on a user-by-user basis and utilizing an adaptive vector space representation for both information and behavior. The system matches users to entities in a manner that improves with increased operation and observation of user behavior. User behavior and entities (ads, coupons, products) and information (text) are all represented as content vectors in a unified vector space. The system is based on an information representation called content vectors that utilizes a constrained self organization learning technique to learn the relationships between symbols (typically words in unstructured text). Users and entities are each represented as content vectors.