Milenko Drinic

Title: Milenko Drinic: Innovator in Text Data Labeling and Network Activity Filtering

Introduction

Milenko Drinic is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the fields of text data labeling and network activity filtering. With a total of 7 patents, Drinic's work has advanced the way technology interacts with data and networks.

Latest Patents

One of Drinic's latest patents focuses on the automatic labeling of text data. This technology determines whether a candidate text belongs to a requested class by utilizing a generative model that may not be specifically trained on that class. The model operates primarily in an unsupervised mode, eliminating the need for extensive manual user-input examples. It generates semantically rich positive and negative examples of label text from the candidate text and label. This innovative labeling service estimates the likelihood that a label accurately applies to the candidate text.

Another significant patent addresses activity filtering based on trust ratings of network nodes. This technology evaluates the desirability of activities generated by nodes interacting with a device, such as determining whether email messages are spam. By assigning trust ratings to network entities, the system can effectively filter activities based on the overall trustworthiness of the nodes controlled by that entity.

Career Highlights

Milenko Drinic is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative technologies. His work has had a profound impact on how data is processed and filtered in various applications.

Collaborations

Drinic has collaborated with notable colleagues, including Malcolm Hollis Davis and Eliot Carleton Gillum. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Milenko Drinic's contributions to technology, particularly in text data labeling and network activity filtering, showcase his innovative spirit and expertise. His patents reflect a commitment to enhancing the efficiency and accuracy of data processing in modern applications.