Company Filing History:
Years Active: 2015
Title: Xiance Si: Innovating User Interaction Analytics
Introduction
Xiance Si is a notable inventor based in Beijing, China, recognized for his contributions to the field of user-generated content analysis. With a focus on enhancing the quality of interaction within electronic networks, his innovative approaches are paving the way for smarter digital user engagement.
Latest Patents
Xiance holds a patent for a method titled "Ranking User Generated Web Content." This patent outlines various methods, systems, and apparatuses—including computer programs encoded on computer storage media—for analyzing the quality of user-generated content. His invention emphasizes identifying interactions between users through an electronic network and assigning a weighting factor to each interaction, which represents the quality of that interaction. Additionally, it generates a user credential score based on the accumulated weighting factors, facilitating a more comprehensive understanding of user dynamics.
Career Highlights
He is currently employed by Google Inc., a leading company in technology and internet services. During his tenure, Xiance Si has made significant strides in using technology to understand user interactions and improve content quality on various platforms. His expertise has garnered attention within the industry, showcasing his capability as an inventor.
Collaborations
In his professional journey, Xiance has collaborated with esteemed colleagues, including Jian Gong Deng and Huacheng Ke. These collaborations highlight the innovative mindset prevalent at Google Inc., where teamwork and shared expertise drive progress in technological advancements.
Conclusion
Xiance Si is a distinguished inventor whose work notably impacts user-generated content analysis. His patent reflects a deep understanding of user interactions and quality assessment, making substantial contributions to technology and digital engagement. As he continues to innovate, his work is expected to influence the future landscape of user interaction analytics.