Sherrill J Packebush

Title: Sherrill J Packebush: Innovator in Data Processing and Recommendations

Introduction

Sherrill J Packebush is a notable inventor based in Austin, TX (US). She has made significant contributions to the field of data processing and online shopping recommendations. With a total of 6 patents, her work has influenced how businesses interact with customers in the digital marketplace.

Latest Patents

One of her latest patents is titled "System and method for generating effective recommendations." This innovative data processing system generates recommendations for online shopping by scoring items based on various criteria, including item availability, price, and relevance to the customer. The system ranks and filters these recommendations to ensure that the best options are presented to the customer.

Another significant patent is the "Retail recommendation domain model." This patent focuses on normalizing low-resolution transaction data into high-resolution data sets. By establishing a shared domain model, the recommendation engine can process attribute-based representations to make relevant recommendations. This model also allows for the generation of compelling selling point text tailored to the marketing objectives of the seller.

Career Highlights

Throughout her career, Sherrill has worked with several companies, including Versata Development Group, Inc. and SBC Technology Resources, Inc. Her experience in these organizations has allowed her to refine her skills in data processing and recommendation systems.

Collaborations

Sherrill has collaborated with notable individuals in her field, including Larry Lee Valco and John Payton Beans. These partnerships have contributed to her innovative work and the development of her patents.

Conclusion

Sherrill J Packebush is a pioneering inventor whose work in data processing and recommendation systems has made a lasting impact on online shopping. Her patents reflect her commitment to enhancing customer experiences through technology.