This inventor holds 2 USPTO granted patents. Top assignee: Airbnb, Inc.. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2023
Title: Innovations by Li Fan in Online Marketplaces
Introduction
Li Fan is an accomplished inventor based in Belmont, California. He has made significant contributions to the field of online marketplaces, particularly through his innovative patent work. With a total of two patents to his name, Li Fan is recognized for his expertise in utilizing machine learning to enhance service booking experiences.
Latest Patents
Li Fan's latest patents focus on "Eligibility predictions for instant booking in an online marketplace." These systems and methods are designed to receive requests for services from client devices operated by users. They generate a set of features based on the information included in these requests. The innovative aspect of his work lies in analyzing these features using a machine learning model. This model predicts whether only services that can be instantly booked should be provided in response to the requests. The process includes analyzing the prediction output to determine the eligibility of services and generating a list that includes only those services that can be instantly booked.
Career Highlights
Li Fan is currently employed at Airbnb, Inc., where he applies his inventive skills to improve the user experience in online service bookings. His work has been instrumental in streamlining the process for users seeking immediate service availability.
Collaborations
Li Fan collaborates with talented individuals such as Yi Hou and Trunal Bhanse, who contribute to the innovative environment at Airbnb, Inc. Their teamwork fosters creativity and enhances the development of new solutions in the online marketplace sector.
Conclusion
Li Fan's contributions to the field of online marketplaces through his patents demonstrate his commitment to innovation and improving user experiences. His work continues to influence the way services are booked online, showcasing the importance of machine learning in modern technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
