James S Singh, Age 481114A 45Th Rd, Long Island City, NY 11101

7426481, Sep 16, 2008

Jan 26, 2001

09/770694

Christopher M. Connors - Austin TX, US
Andrew F. Miller - Austin TX, US
Joshua P. Walsky - Austin TX, US
James Singh - Austin TX, US
Andrew Leamon - Wayne PA, US
Jeffrey R. VanDyke - Austin TX, US

Versata Development Group, Inc. - Austin TX

G06Q 30/00
G06F 17/30

705 26, 705 27

A computer system provides product selections to a user according to a needs analysis. A database stores pre-generated product configurations and product configuration information. The product configuration information includes product features and product rules governing allowable combinations of the product features. Received product related data can include different types of information such as attribute information and product identifier information. The received product related data is processed to determine the type of received information. If the type is attribute information, the received product related data is filtered in accordance with the product configuration information and one or more product configurations that meet requirements of the received attribute information is identified. If the type is product identifier information, one or more of the pre-generated product configurations that corresponds to the received product related data is identified. Each identified product configuration and each identified pre-generated product configuration is provided to the user.

7698170, Apr 13, 2010

Aug 5, 2004

10/912743

Timothy P. Darr - Bristow OK, US
Thomas H. Dillon - Austin TX, US
Sherrill J. Packebush - Austin TX, US
Michael K. Grant - Austin TX, US
James Singh - Austin TX, US
Jacob D. Leffler - Austin TX, US
Jeremy S. Wacksman - Evanston IL, US
Neil C. Thier - Austin TX, US

Versata Development Group, Inc. - Austin TX

G06Q 30/00

705 26

A data processing system normalizes data sets (such as low-resolution transaction data) into high-resolution data sets by mapping generic information into attribute-based specific information that is stored in a database. By establishing a shared domain model for representing items in the recommendation context, catalog and quote history with common terms and concepts, a recommendation engine operating in the shared domain may process the attribute-based representations to make specific and relevant recommendations to the customer. In addition, when certain attribute values are normalized over time, recommendations derived from past order history can be intelligently applied to current orders. The normalized representation of elements in the shared domain may also be used to generate compelling selling point text for each recommendation that is specific to the marketing objectives of the seller and identifies the objectives of the buyer.

7720720, May 18, 2010

Aug 5, 2004

10/912734

Nirad Sharma - Austin TX, US
Michael K. Grant - Austin TX, US
Neil C. Thier - Austin TX, US
Alex Devine - Austin TX, US
Sherrill J. Packebush - Austin TX, US
Thomas H. Dillon - Austin TX, US
James Singh - Austin TX, US
Jeremy S. Wacksman - Evanston IL, US
Chris Hyams - Austin TX, US
Timothy P. Darr - Bristow OK, US

Versata Development Group, Inc. - Austin TX

G06Q 30/00

705 26

A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents product page, configuration page, email and/or history using predetermined scoring criteria, such as item availability, item price, relevance of the item to the customer, item clarity, item exposure, total purchase amount in the cart, margin, recommendation confidence and lift, shopper profile matches, seasonality, customer history, time dependency, product marketing emphasis, substitutability, item popularity and/or product attributes associated with the recommended item. The scored recommendations may be ranked and/or filtered to prioritize the recommendations so that the best recommendation is selected for presentation to the customer. In addition, one or more scoring criteria or product attributes for the recommended item may be used to select a specific selling point/message text for inclusion with the selected recommendation.

7966219, Jun 21, 2011

Sep 24, 2004

10/950354

James Singh - Austin TX, US
Neil C. Thier - Austin TX, US
Chris Hyams - Austin TX, US
Thomas W. Wilbur - Austin TX, US

Versata Development Group, Inc. - Austin TX

G06Q 30/00

705 26

A recommendation appliance, system and method are provided for generating and deploying additional web page content or functionality (e. g. , retail recommendations) to an existing web page server system. For example, the present invention may be embodied as a reverse proxy server that is inserted as an intermediate network node between a web server and the end users accessing the web server. In this position, the recommendation appliance can introduce recommendation messages to web pages generated by the web server without requiring any modification to the code or architecture of the web server. In addition, the appliance may separately track the transaction activities of end users who receive recommendation messages and the transaction activities of end users who do not receive recommendation messages, so that a comparison of the effectiveness of the recommendations may efficiently be demonstrated without requiring any modification to the code or architecture of the web server.

2008022, Sep 11, 2008

Oct 26, 2006

11/553164

Christopher M. Connors - Austin TX, US
Andrew F. Miller - Austin TX, US
Joshua P. Walsky - Austin TX, US
James Singh - Austin TX, US
Andrew Leamon - Wayne PA, US
Jeffrey R. VanDyke - Austin TX, US

G06F 15/177

713 1

A method of comparing products is disclosed. The method includes selecting a first configuration representing a first product with a first attribute, selecting a second configuration representing a second product with a second attribute, and displaying the first attribute and the second attribute. As will be noted, the first attribute is defined in the first configuration, and the second attribute is defined in the second configuration.

2011021, Sep 1, 2011

May 10, 2011

13/104233

James Singh - Austin TX, US
Neil C. Thier - Austin TX, US
Chris Hyams - Austin TX, US
Thomas W. Wilbur - Austin TX, US

G06Q 30/00

705 267

A recommendation appliance, system and method are provided for generating and deploying additional web page content or functionality (e.g., retail recommendations) to an existing web page server system. For example, the present invention may be embodied as a reverse proxy server that is inserted as an intermediate network node between a web server and the end users accessing the web server. In this position, the recommendation appliance can introduce recommendation messages to web pages generated by the web server without requiring any modification to the code or architecture of the web server. In addition, the appliance may separately track the transaction activities of end users who receive recommendation messages and the transaction activities of end users who do not receive recommendation messages, so that a comparison of the effectiveness of the recommendations may efficiently be demonstrated without requiring any modification to the code or architecture of the web server.

7130821, Oct 31, 2006

Jan 12, 2001

09/760062

Christopher M. Connors - Austin TX, US
Andrew F. Miller - Austin TX, US
Joshua P. Walsky - Austin TX, US
James Singh - Austin TX, US
Andrew Leamon - Wayne PA, US
Jeffrey R. VanDyke - Austin TX, US

Trilogy Development Group, Inc. - Austin TX

G06F 17/30

705 27, 705 26

A method of comparing products is disclosed. The method includes selecting a first configuration representing a first product with a first attribute, selecting a second configuration representing a second product with a second attribute, and displaying the first attribute and the second attribute. As will be noted, the first attribute is defined in the first configuration, and the second attribute is defined in the second configuration.

2022021, Jul 7, 2022

Jan 7, 2021

17/144002

- Mountain View CA, US
Ian Joseph Roth - Brooklyn NY, US
Hao Wang - Long Island City NY, US
Agustin III Olivan Venezuela - Queens NY, US
Subramanian Shyamsunder Mathur - New York NY, US
Xuemei Zhao - Jersey City NJ, US
James Sraw Singh - New York NY, US
Valdrin Koshi - Brooklyn NY, US

G06T 19/00
G06T 15/80
G06F 8/36

Systems and methods for data asset acquisition and obfuscation can be helpful for retrieving augmented reality rendering data assets from third parties. The sending of a software development kit and receiving back data assets can ensure the data assets are compatible with the augmented reality rendering experience in the user interface. The data acquisition system with obfuscation can also ensure the code generated by third parties is stripped of semantics and has reduced readability.