Company Filing History:
Years Active: 2017-2018
Title: Innovations by Xiaoli Song
Introduction
Xiaoli Song is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in user intent mining and personal assistant systems. With a total of 2 patents, his work showcases innovative methods that enhance user experience and interaction with technology.
Latest Patents
Xiaoli Song's latest patents include "Scalable user intent mining using a multimodal restricted boltzmann machine" and "Function-based action sequence derivation for personal assistant system." The first patent provides a method for scalable user intent mining by detecting named entities from query logs and applying a multimodal restricted boltzmann machine to generate public query representations. The second patent focuses on recommending a desired function sequence to users by creating task flow graphs and function flow graphs based on user intention and usage data.
Career Highlights
Xiaoli Song is currently employed at Tcl Research America Inc., where he continues to develop innovative solutions in technology. His work has been instrumental in advancing methods that improve how users interact with digital systems.
Collaborations
Xiaoli has collaborated with notable coworkers, including Yue Shang and Haohong Wang, contributing to a dynamic and innovative work environment.
Conclusion
Xiaoli Song's contributions to technology through his patents reflect his commitment to enhancing user experience and interaction. His innovative methods are paving the way for advancements in user intent mining and personal assistant systems.