Company Filing History:
Years Active: 2025
Title: Haode Yang - Innovator in Seasonal Relevance Modeling
Introduction
Haode Yang is a notable inventor based in Seattle, WA, who has made significant contributions to the field of online search technologies. His innovative approach focuses on modeling seasonal relevance, which enhances the effectiveness of search queries.
Latest Patents
Haode Yang holds a patent for "Modeling seasonal relevance for online search." This patent describes techniques for modeling seasonal relevance by utilizing a language model to generate token embeddings from text. The invention predicts a seasonal relevance vector based on the similarity between the text of a query and other queries with available monthly concentration data. The output includes a seasonal relevance score for each month of the year, which can greatly improve search results.
Career Highlights
Currently, Haode Yang is employed at Amazon Technologies, Inc., where he applies his expertise in developing advanced search algorithms. His work is instrumental in enhancing user experience by providing more relevant search results based on seasonal trends.
Collaborations
Haode has collaborated with talented coworkers such as Dan Bu and Roberto Fernandez Galan, contributing to a dynamic and innovative work environment.
Conclusion
Haode Yang's contributions to the field of online search through his patent on seasonal relevance modeling exemplify the impact of innovative thinking in technology. His work continues to influence how search engines understand and respond to user queries.