Daniel Augenstern

Title: Innovations by Daniel Augenstern

Introduction

Daniel Augenstern is an accomplished inventor based in Endwell, NY (US). He has made significant contributions to the field of technology, particularly in the realm of recommendation systems. With a total of two patents to his name, Augenstern's work focuses on enhancing the efficiency and effectiveness of data processing and consumer recommendations.

Latest Patents

One of Augenstern's latest patents is titled "Retraining Individual-Item Models." This invention involves a computer-implemented method and system designed to determine when to retrain an individual-item model within a recommendation engine. The method includes defining a consumer feature vector that captures attributes of historical consumers impacting the model. It also calculates a historical feature vector related to these consumers and establishes a retraining threshold. By determining the distance between historical and new feature vectors, the system can effectively decide when to retrain the model.

Another notable patent is "Recommending Exemplars of an Unlabeled Data-Set." This invention outlines a process for recommending exemplars from a dataset by utilizing a processor. It involves labeling a selected number of exemplars from various classes and recommending class exemplars based on similarities between labeled exemplars and the remaining data in the dataset.

Career Highlights

Daniel Augenstern is currently employed at International Business Machines Corporation (IBM), a leading technology company known for its innovations in computing and data processing. His work at IBM has allowed him to develop and refine his inventions, contributing to the company's reputation for cutting-edge technology.

Collaborations

Throughout his career, Augenstern has collaborated with talented individuals such as Michael Peran and Josh Price. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Daniel Augenstern's contributions to the field of technology through his patents demonstrate his commitment to advancing recommendation systems. His work at IBM and collaborations with fellow innovators highlight the importance of teamwork in driving technological progress.