Michael Daub

Title: Michael Daub - Innovator in Device Attribute Prediction and Privacy Preservation

Introduction

Michael Daub is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of technology, particularly in the areas of device attribute prediction and privacy preservation. With a total of 4 patents to his name, Daub continues to push the boundaries of innovation.

Latest Patents

One of Daub's latest patents is titled "Cookie space domain adaptation for device attribute prediction." This patent describes techniques for training a model using cross-domain adaptation to classify content requests from client devices with unknown attributes. The system can obtain requests for content from client devices of a first domain and a second domain. It trains a model by propagating request attributes of the first domain through the model to generate internal data and an output vector. The model is then updated based on the differences between internal data from both domains, allowing for effective classification of client devices.

Another significant patent is "Systems and methods for privacy preserving determination of intersections of sets of user identifiers." This invention focuses on estimating the intersection of user identifiers in two sets. The sets can include user identifiers that have interacted with the same content item or campaign. The patent outlines methods for determining intersections using various approaches, including a binomial vector approach and a hybrid approach.

Career Highlights

Michael Daub is currently employed at Google Inc., where he applies his expertise in developing innovative solutions. His work has garnered attention for its practical applications in enhancing user experience and privacy.

Collaborations

Daub has collaborated with notable colleagues, including Scott D Schneider and Joseph Sean Cahill Goodknight Knightbrook. These collaborations have contributed to the advancement of technology in their respective fields.

Conclusion

Michael Daub is a prominent inventor whose work in device attribute prediction and privacy preservation has made a significant impact in the tech industry. His innovative patents reflect his commitment to advancing technology and improving user experiences.