Company Filing History:
Years Active: 2007
Title: The Innovative Mind of Boris Gorodnitsky
Introduction
Boris Gorodnitsky is a notable inventor based in Seattle, WA. He has made significant contributions to the field of technology, particularly in the area of computer-aided systems. His work focuses on enhancing the efficiency of query-to-task mapping, which is crucial for training search components.
Latest Patents
Boris holds a patent for a system titled "Computer aided query to task mapping." This innovative annotating system assists users in mapping numerous queries to tasks, thereby obtaining training data for a search component. The system includes a query log that contains a vast quantity of previously submitted queries to a search engine. Additionally, it features a task list with multiple possible tasks stored within it. A machine learning component processes both the query log data and the task list data. For each query entry in the log, the machine learning component suggests the best guess task for potential query-to-task mapping based on the training data. Furthermore, a graphical user interface generates a display of the query entries in a manner that associates each entry with its corresponding suggested best guess task. Boris's innovative approach has the potential to streamline the process of training search engines.
Career Highlights
Boris is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work at Microsoft has allowed him to collaborate with other talented professionals in the field, contributing to the advancement of technology.
Collaborations
Some of Boris's coworkers include Adwait Ratnaparkhi and Robert J Ragno. Their collaboration fosters a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Boris Gorodnitsky is a remarkable inventor whose work in computer-aided query mapping showcases his innovative spirit and dedication to advancing technology. His contributions are paving the way for more efficient search components in the digital landscape.