Steven C Quandt

US Patent:

20090248494, Oct 1, 2009

Filed:

Mar 31, 2009

Appl. No.:

12/416005

Inventors:

Geoffrey J. Hueter - San Diego CA, US
Steven C. Quandt - Encinitas CA, US
Noble H. Hueter - San Diego CA, US
Meyar Sheik - Del Mar CA, US

Assignee:

CERTONA CORPORATION - Del Mar CA

International Classification:

G06Q 30/00
G06N 5/02
G06Q 10/00
G06F 17/30

US Classification:

705 10, 706 52, 705 14, 707 6, 707E17108

Abstract:

A system and method is disclosed for collecting website visitor activity for profiling visitor interests and dynamically modifying the content of the website to better match the visitor's profile. The visitor activity data is collected directly from the visitor's client browser or from the website's own web log information. The collected data consists of the page identifier, page links, and the previous page identifier. Similarly, the modified page content can be sent directly to the client browser or can be sent back to the website server for integration with the other page content. The collected data is stored in a database. Based on the amount of information collected on the visitor and the various items that are presented on the website, the visitors and items are profiled so that a visitor's response to other items can be predicted and recommended to the visitor. The recommendations can be requested and displayed directly by and to the client browser or the website server can make the request and subsequently display the matching content. The system has application in personalization, behavioral targeting, Internet retailing, social networking, affiliate marketing, and online advertising, to name but a few applications.

US Patent:

20090248495, Oct 1, 2009

Filed:

Mar 31, 2009

Appl. No.:

12/416083

Inventors:

Geoffrey J. Hueter - San Diego CA, US
Steven C. Quandt - Encinitas CA, US
Christopher J. Bryant - Solana Beach CA, US

Assignee:

CERTONA CORPORATION - Del Mar CA

International Classification:

G06Q 30/00
G06Q 10/00

US Classification:

705 10, 705 14

Abstract:

A system and method is disclosed for tracking subject behavior and making object recommendations to drive the subject to a desired outcome. The system consists of several components: a data collection module that captures subject behavior and provides behavioral context for the recommendations; a profiling module that extracts characteristics of subjects and objects from the behavior data; and a recommendation module, which uses the profiles and the behavior context to generate personalized content, including product recommendations, content recommendations, and advertisements. The recommendation module consists of several sub-modules: a behavioral recommendation module, which matches profiles or uses other unconstrained methods for matching objects to subjects; a business rule module, which filters and modifies recommendations by applying application-specific business logic to defined attributes of the objects; and a promotion engine, which modifies the scores from the recommendation module to bias the recommendations towards certain objects based on additional business goals, such as exposing new objects, selling out old products, or satisfying promotional business agreements with partners. The system continuously samples and assesses the performance of a variety of candidate recommendation strategies and optimizes the selection of the rules and profiling methods to maximize or minimize the value of some objective function that characterizes the system. The system has application to Internet retailing, behavioral targeting, recommendation systems, personalization, business rules, and business optimization.

US Patent:

20090248496, Oct 1, 2009

Filed:

Apr 1, 2009

Appl. No.:

12/416524

Inventors:

Geoffrey J. Hueter - San Diego CA, US
Steven C. Quandt - Encinitas CA, US

Assignee:

CERTONA CORPORATION - Del Mar CA

International Classification:

G06Q 10/00
G06Q 50/00
G06N 3/08

US Classification:

705 10, 706 21

Abstract:

A system and method is disclosed for profiling subjects and objects based on subjects' responses to various objects for purposes of determining and presenting the objects most likely to generate the most likely response from each visitor. Object ratings, such as aesthetic response, preference, interest, or relevancy, are explicitly submitted by subjects or derived implicitly from visitor interactions with the objects. Objects include movies, books, songs, commercial products, news articles, advertisements or any other type of content or physical item. A profiling engine processes the ratings information and generates compact profiles of each subject and object based on the similarities and differences in affinities between the group of subjects and the group of objects. The object profiles can be clustered to create behavioral object categories. Additionally, a modeling module inverts the abstract subject and object profiles into physical attributes, such as predicting demographic or personality traits or subjective or other descriptive attributes of objects, such as size, shape, color, hipness, or trendiness. The system has application in market analysis and segmentation, behavioral targeting, product placement, and online advertising, to name but a few applications.

US Patent:

20090248523, Oct 1, 2009

Filed:

Apr 1, 2009

Appl. No.:

12/416388

Inventors:

Geoffrey J. Hueter - San Diego CA, US
Steven C. Quandt - Encinitas CA, US
Noble H. Hueter - San Diego CA, US
Christopher J. Bryant - Solana Beach CA, US

Assignee:

CERTONA CORPORATION - Del Mar CA

International Classification:

G06Q 30/00

US Classification:

705 14, 705 1

Abstract:

A system and method is disclosed for generating targeted e-mails based on individual subject behavior and interests, as determined by an application's website browsing behavior, online and offline purchases, ratings, and other implicit and explicit indications of subject preferences and interests. The subject's behavior data is collected directly from the subject's client browser or from the application's own information and used to generate profiles of the subjects that will be sent e-mails and the objects that will be recommended. Targeted content is generated by matching subject and object profiles in combination with any subject segmentation filters that the application provides. The e-mail targeting is optimized by measuring subject response to targeted e-mails and adjusting recommendation strategies used to generate subsequent recommendations. The system has application in personalization, behavioral targeting, Internet retailing, affiliate marketing, and online advertising, to name but a few applications.

US Patent:

20090248599, Oct 1, 2009

Filed:

Mar 31, 2009

Appl. No.:

12/415758

Inventors:

Geoffrey J. Hueter - San Diego CA, US
Steven C. Quandt - Encinitas CA, US
Noble H. Hueter - San Diego CA, US

International Classification:

G06N 3/02
G06F 15/18
G06Q 30/00

US Classification:

706 20, 706 21, 705 10, 706 15

Abstract:

A system and method is disclosed for profiling subjects and objects based on subjects' responses to various objects for purposes of determining and presenting the objects most likely to generate the most positive response from each visitor. Object ratings, such as aesthetic response, preference, interest, or relevancy, are explicitly submitted by subjects or derived implicitly from visitor interactions with the objects. Objects include movies, books, songs, commercial products, news articles, advertisements or any other type of content or physical item. A profiling engine processes the ratings information and generates compact profiles of each subject and object based on the similarities and differences in affinities between the group of subjects and the group of objects. A recommendation engine then generates recommendations to a subject based on similarity between the subject and object profiles. The recommendation engine can also match subjects to other subjects and objects to other objects. The recommendation engine can also predict affinity across object catalogs and across time. Additionally, the object profiles can be clustered to create behavioral object categories. The system has application in personalization, behavioral targeting, Internet retailing and interactive radio, to name but a few applications.

US Patent:

20090248682, Oct 1, 2009

Filed:

Apr 1, 2009

Appl. No.:

12/416434

Inventors:

Geoffrey J. Hueter - San Diego CA, US
Steven C. Quandt - Encinitas CA, US

Assignee:

CERTONA CORPORATION - Del Mar CA

International Classification:

G06F 17/30

US Classification:

707 5, 707E17108

Abstract:

A system and method is disclosed for profiling a subject's search engine keywords and results based on relevancy feedback. Because the system is based on the search behavior of the user, the profiling is language independent and balances the specificity of search terms against the profiled interests of the user. The system can also synthesize new keyword combinations to assist the user in refining the search or acquiring related content. The system has application in text mining, personalization, behavioral search, search engine optimization, and content acquisition, to name but a few applications.

US Patent:

20100122220, May 13, 2010

Filed:

Jul 27, 2009

Appl. No.:

12/460978

Inventors:

John Patrick Ainsworth - San Diego CA, US
Young Sang Cho - El Cajon CA, US
Geoffrey James Hueter - El Cajon CA, US
Steven Charles Quandt - Encinitas CA, US
Helen Ann Schultes - San Diego CA, US

International Classification:

G06F 3/048
G06N 5/02

US Classification:

715866, 706 47

Abstract:

A method of dynamically generating a user presentation includes selecting and retrieving at least one of a plurality of rules stored in one or more databases in response to a request from an application program, executing the rule to retrieve data from the one or more databases, and generating presentation data based on the data. The presentation data may be for use in the user presentation of the application program.

US Patent:

20130173809, Jul 4, 2013

Filed:

Dec 30, 2012

Appl. No.:

13/731076

Inventors:

Steven C. Quandt - Encinitas CA, US
Noble H. Hueter - San Diego CA, US
Dane N. Ruyle - San Diego CA, US

Assignee:

CERTONA CORPORATION - San Diego CA

International Classification:

H04L 29/08

US Classification:

709226

Abstract:

A system and method is disclosed for allocating servers across a large number of applications and for providing a predictable and consistent service response under conditions where the use of the service and associated loads is driven by unknown factors. The invention provides fault tolerance within an application through multiple resources per application and fault tolerance across applications by limiting the overlap in resources between applications. The computational load on the service may include both individual processing time due to the complexity of a single request and the number of requests. Complexity may be unpredictable because the service is self-provisioned and may allow service users to create an arbitrary sequence of compound processing steps. The number of requests may vary due to a variety of events, including daily, seasonal, or holidays, or factors driven more directly by the user of the service, such as sales, advertising, or promotions. The invention throttles server loads to provide managed degradation of application processing. The system has application in personalization, behavioral targeting, Internet retailing, personalized search, email segmentation and ad targeting, to name but a few applications.