This inventor holds 5 USPTO granted patents and 5 published patent applications. Top assignees: Piksel, Inc., Kit Digital Inc., Peerset, Inc.. Active years: 2010-2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2010-2017
Title: Innovations by Daniel Marc Veidlinger
Introduction
Daniel Marc Veidlinger is an accomplished inventor based in Chico, CA (US). He holds a total of 5 patents that showcase his expertise in developing advanced recommendation systems. His work focuses on enhancing user experience through innovative search technologies.
Latest Patents
One of his notable patents is titled "Recommendation systems and methods using interest correlation." This technology generates recommendations with minimal user data and participation. It provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. The system is sensitive to the semantic content of natural language terms and allows users to briefly describe the intended recipient's interests and eccentricities. Based on this input, the recommendation software creatively discovers connections to gift recommendations from a vast array of possibilities. Users can then make selections from these tailored recommendations. The search engine enables users to find gifts through connections that extend beyond previously available information on the Internet. This innovative approach connects interests to buying behavior by relating terms to respective items.
Another significant patent by Veidlinger is "Ontology based recommendation systems and methods." Similar to his previous work, this technology generates recommendations with minimal user data and participation. It also provides better interpretation of user data, ensuring breadth and quality in recommendations. The system's sensitivity to the semantic content of natural language terms allows users to describe the intended recipient's interests and eccentricities. The recommendation software then determines the meaning of the entered terms and creatively discovers connections to gift recommendations. This search engine empowers users to find gifts through connections that are not limited to existing information on the Internet, linking interests to buying behavior effectively.
Career Highlights
Throughout his career, Daniel has worked with notable companies such as Piksel, Inc. and Peerset, Inc. His contributions to these organizations have significantly advanced the field of recommendation systems.
Collaborations
Daniel has collaborated with talented individuals, including Issar Amit Kanigsberg and Myer Joshua Mozersky. Their combined expertise has fostered innovative developments in the realm of technology.
Conclusion
Daniel Marc Veidlinger is a prominent inventor whose work in recommendation systems has made a significant impact on user experience. His innovative patents reflect his dedication to enhancing technology and improving how users interact with information.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
