Company Filing History:
Years Active: 2011
Title: Yuen Y Lo: Innovator in Text Similarity Measures
Introduction
Yuen Y Lo is a notable inventor based in Cambridge, MA, who has made significant contributions to the field of text similarity measures. His innovative approach focuses on improving the accuracy of measuring similarity between electronic documents.
Latest Patents
Yuen Y Lo holds a patent for "Methods for obtaining improved text similarity measures which replace similar characters with a string pattern representation by using a semantic data tree." This invention provides methods for obtaining improved text similarity measures by identifying similar terms between electronic documents. The method bases similarity on various patterns, including word patterns, letter patterns, numeric patterns, and alphanumeric patterns. The invention also involves a hierarchical data tree that categorizes terms, allowing for a more nuanced understanding of document similarity.
Career Highlights
Yuen Y Lo is associated with International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop advanced methodologies in text processing and data analysis.
Collaborations
Yuen has collaborated with talented individuals such as Rema Ananthanarayanan and Sreeram Viswanath Balakrishnan, contributing to a dynamic and innovative work environment.
Conclusion
Yuen Y Lo's contributions to text similarity measures exemplify the importance of innovation in technology. His work continues to influence the way we understand and process electronic documents.