Rebecca Carter is a prominent inventor based in San Francisco, CA. She has made significant contributions to the field of machine learning and database systems, holding a total of 4 patents. Her innovative work focuses on enhancing the efficiency of database recommendations through advanced machine-learning techniques.

Latest Patents

One of Rebecca's latest patents is a machine-learned database recommendation model. This invention involves a central database system that trains a machine-learned model using training data to identify characteristics of account holder entities, account provider entities, and the relationships between them. For a target entity, the system identifies a target set of account provider entities and applies the trained model to determine a subset of these entities. The identified subset is most likely to establish a relationship with the target entity. A recommendation is then generated for display, which includes interface elements that, when selected, notify the corresponding account provider entity of the target entity's interest.

Career Highlights

Rebecca has worked with notable companies such as Zenpayroll, Inc. and Bendix Commercial Vehicle Systems LLC. Her experience in these organizations has allowed her to refine her skills and contribute to innovative projects that leverage machine learning for practical applications.

Collaborations

Rebecca has collaborated with talented individuals in her field, including Victoria Huang and Alyssa Hester. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Rebecca Carter is a trailblazer in the realm of machine learning and database systems. Her patents and career achievements reflect her dedication to innovation and her impact on the industry.

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