Company Filing History:
Years Active: 1996
Title: The Innovative Mind of James E. Leightheiser
Introduction
James E. Leightheiser, hailing from Lexington, MA, stands out as a notable inventor with a focus on enhancing data retrieval methods. With a robust understanding of database structures, he has made strides in the field of information technology through his inventive work.
Latest Patents
Leightheiser holds one patent titled "Enhanced apparatus and methods for retrieving and selecting profiled." This inventive method aims to extract a preferred set of textual records from a database by assigning priority values to various predefined category structures. Each textual record is granted a relevance value concerning these category structures. If a record's relevance surpasses a certain threshold, it is linked to the appropriate category structure. The approach also involves compiling information on how users interact with the sets of retrieved records, enabling dynamic ranking adjustments for future retrievals.
Career Highlights
James E. Leightheiser's career is marked by his pioneering work in the field of database solutions. By developing methods that improve the efficiency of data retrieval, he has positioned himself as a valuable asset within the technology domain. His contributions have significantly enhanced the way information can be sorted and accessed, reflecting his commitment to innovation.
Collaborations
Throughout his career, Leightheiser has collaborated with talented individuals such as Joseph A. Amram and Jacques Bouvard. These partnerships have likely contributed to the development of his patent and fostered an environment of creativity and shared expertise.
Conclusion
James E. Leightheiser exemplifies the spirit of innovation through his work in enhancing information retrieval methods. His patent reflects a commitment to improving database interactions and user experiences, solidifying his role as a significant inventor in the field. As he continues his journey, the contributions of Leightheiser are anticipated to reshape how technology engages with data.