Personalization engine for building a user profile

Abstract

User profiles are created based on taxonomic nouns related to documents accessed by the user. The profiles can be leveraged to create lists, such as mailing lists and lead lists, to target content, such as offers, to persons most likely to be interested in the content. A database of the profiles is queried based on nouns describing content to be promoted. The profiles that satisfy the query are used to generate a list. The invention can be used to create any type of list, such as mailing lists, lead lists, lists of related content, lists of related users, lists of categorized content, and the like.

Description

CROSS REFERENCE TO RELATED DOCUMENTS[0001]This application is a continuation of U.S. patent application Ser. No. 12 / 827,427 filed Jun. 30, 2010 (now pending) which is a continuation-in-part of U.S. patent application Ser. No. 12 / 362,840 filed on Jan. 30, 2009, now U.S. Pat. No. 8,214,346 which claims the benefit of priority of U.S. Provisional Patent Application Ser. No. 61 / 076,229 filed on Jun. 27, 2008. This application is related to U.S. patent application Ser. No. 12 / 607,584 filed on Oct. 28, 2009 and U.S. patent application Ser. No. 12 / 696,115 filed on Jan. 29, 2010. The entire contents of which are incorporated herein by reference.FIELD OF THE INVENTION[0002]The present application relates to a system and method for profiling and targeting computer users to deliver digital content. More particularly, the present application relates to creating targeted lists of users for marketing or other purposes.BACKGROUND OF THE INVENTION[0003]Networks and interconnectivity of individuals,...

AI Technical Summary

Benefits of technology

The disclosed embodiments describe a system and method for analyzing user activity on websites to better understand their interests and passions. This information is used to improve business processes and make content and websites more relevant to users. The system can gather data from user activity, categorize it, and store it to create a user profile that represents the user's interests. This helps businesses target their audience more effectively and provides better research and analysis tools for website managers and product managers. The overall effect is a more dynamic and relevant website experience for users and better results for businesses.

Problems solved by technology

However, these broad subject areas are not always sufficient to locate information of interest to a consumer.

These prior systems do not cover all related digital content a user or users with similar activity patterns, may have acquired from a variety of sources.

These conventional systems may not utilize user profile information based on collected demographics, user ratings, editorial classifications, and behavioral data.

The ability to accurately profile and target a user or a collection of similar users of a Web site is a difficult problem.

Registration data, including demographic information, forms a component of this analysis, however, most users do not register or complete the registration form, and the data collected is not updated based on a user's current interests.

Behavioral data gathered from a user's activity on a Web site can provide a more current indication of a user's interest, however, it is difficult to classify the documents or actions taken by a user unless the information is tagged or categorized based on its content and contextual meta-data.

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