Company Filing History:
6 out of 2,166 
1 out of 54,763 
Years Active: 2021-2025
Title: Da Xu: Innovator in Recommendation Systems
Introduction
Da Xu is a prominent inventor based in San Jose, California, known for his contributions to the field of recommendation systems. With a total of six patents to his name, Xu has developed innovative techniques that enhance user experiences in digital platforms. His work focuses on analyzing user interactions to provide tailored recommendations, making significant strides in the technology sector.
Latest Patents
One of Xu's latest patents is titled "Systems and methods for recommendation system analysis." This invention involves a sophisticated system that utilizes processors and non-transitory computer-readable media to analyze user requests for products. The system determines the processing mode and identifies candidate recommendation systems based on a randomized strategy. It processes user requests to display recommended products effectively.
Another notable patent is "Augmented follow probability for social networking system follow recommendations." This patent outlines techniques for social networking platforms that analyze member interactions to improve follow recommendations. By calculating follow utility scores for member pairs, the system advises users on whom to follow, enhancing their social interactions on the platform.
Career Highlights
Throughout his career, Da Xu has worked with notable companies such as Walmart and Microsoft Technology Licensing. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in technology.
Collaborations
Xu has collaborated with talented individuals in the industry, including Sushant Kumar and Kannan Achan. These partnerships have fostered innovation and creativity in his projects.
Conclusion
Da Xu's work in recommendation systems exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to enhancing user experiences through advanced analytical techniques. Xu continues to be a significant figure in the field, driving forward the capabilities of recommendation systems.