Martin R Linenweber

Title: Innovations by Martin R Linenweber

Introduction

Martin R Linenweber is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning and search technologies. His innovative work focuses on enhancing the retrieval of relevant items for user queries through advanced machine learning techniques.

Latest Patents

Martin holds a patent for "Search analysis and retrieval via machine learning embeddings." This patent outlines various methods and systems for retrieving relevant items based on user queries. The process involves generating query input embeddings and performing a k-Nearest-Neighbor (KNN) search within a search engine repository. Additionally, it includes generating related search results by performing N hops within a semantic graph. The search engine machine learning model is trained using embedding techniques tailored for different content categories.

Career Highlights

Martin is currently associated with UnitedHealth Group Incorporated, where he applies his expertise in machine learning and search technologies. His work has contributed to advancements in how search engines understand and process user queries, making information retrieval more efficient and relevant.

Collaborations

Martin has collaborated with notable colleagues, including Laura D Hamilton and Vinit Garg. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Martin R Linenweber's contributions to machine learning and search technology exemplify the impact of innovative thinking in today's digital landscape. His patent and work at UnitedHealth Group Incorporated highlight his commitment to advancing technology for better user experiences.