Company Filing History:
Years Active: 2022-2024
Title: Elnaz Davoodi: Innovator in Context Aware Searching
Introduction
Elnaz Davoodi is a prominent inventor based in Toronto, Canada. She has made significant contributions to the field of context aware searching, holding 2 patents that enhance the precision of search results. Her work is characterized by innovative methods and systems that utilize concept markers to improve user experience in information retrieval.
Latest Patents
One of Elnaz's latest patents is focused on "System and methods for context aware searching." This patent outlines methods and systems designed to provide context aware searching using concept markers. The embodiments described facilitate the identification and refinement of relevant content associated with a user query with a high degree of precision. In response to a user query, documents and concept markers relevant to the query are determined. The identified documents are associated with the concept markers and ranked based on the quality of the association. When a user selects at least one of the concept markers, the search results are refined accordingly. This refining process includes re-ranking the documents based on a combination of the original query and the selected concept marker, ensuring high precision in identifying relevant content and refining search results.
Career Highlights
Elnaz Davoodi is currently employed at Thomson Reuters Enterprise Centre GmbH, where she continues to develop innovative solutions in the realm of information retrieval. Her expertise in context aware searching has positioned her as a key player in her field.
Collaborations
Elnaz has collaborated with notable coworkers, including Domingo Huh and Julian Brooke, contributing to a dynamic and innovative work environment.
Conclusion
Elnaz Davoodi's contributions to context aware searching demonstrate her commitment to enhancing the precision of information retrieval. Her patents reflect her innovative spirit and dedication to improving user experience in search technologies.