Vladislav Belous is a notable inventor based in Menlo Park, CA (US). He has made significant contributions to the field of online systems and user identity prediction. With a total of 3 patents, his work focuses on enhancing the accuracy and efficiency of online user interactions.

Latest Patents

One of Vladislav's latest patents is titled "Predicting demographic information of an online system user based on online system login status." This invention describes an online system that utilizes user attributes to select content for presentation. It predicts attributes of users whose information is not available by applying a model to additional users' attributes. The system assesses the model's accuracy and discontinues its use if it falls below a certain threshold.

Another significant patent is "Identity prediction for unknown users of an online system." This invention employs a machine learning model to predict the identity of users visiting a web page. The system analyzes visit data to identify candidate user IDs and derives visit features to determine the most likely user ID for the visiting user.

Career Highlights

Vladislav currently works at Meta Platforms, Inc., where he continues to innovate in the realm of online systems. His expertise in machine learning and user interaction has positioned him as a key player in developing advanced technologies that enhance user experience.

Collaborations

Vladislav collaborates with talented individuals such as Ahmad Abdulmageed Mohammed Abdulkader and Ewa Dominowska. Their combined efforts contribute to the advancement of technologies in the online space.

Conclusion

Vladislav Belous is a pioneering inventor whose work in online user identity prediction is shaping the future of digital interactions. His patents reflect a commitment to improving user experience through innovative technology.