Company Filing History:
Years Active: 2018-2021
Title: Ekaterina Suvorova: Innovator in Document Search Technologies
Introduction
Ekaterina Suvorova is a prominent inventor based in Hamden, CT (US). She has made significant contributions to the field of document search technologies, holding a total of 5 patents. Her innovative work focuses on enhancing the efficiency and effectiveness of electronic document retrieval systems.
Latest Patents
One of her latest patents is a method, system, and software for searching, identifying, retrieving, and presenting electronic documents. This invention provides a comprehensive approach to document retrieval, incorporating three distinct inventive concepts. These concepts include relevancy ranking of responsive documents based on a component query technique, cross-lingual searching, and search expansion using analytics of initial results to derive and generate a modified query. Each of these inventions enhances document search and retrieval systems and can be utilized separately or in combination. The inventions operate in layers above an underlying search system, controlling the submission of requests to support user-initiated search requests. Additionally, one of the inventions offers a semantic-expansion capability that utilizes language-independent fields in the data being searched with natural language query terms.
Career Highlights
Ekaterina has worked with notable companies such as Camelot UK Bidco Limited and Thomson Reuters Global Resources Unlimited Company. Her experience in these organizations has contributed to her expertise in developing advanced search technologies.
Collaborations
She has collaborated with professionals like Raphael Shmuel Ryger and Nikolai Nefedov, further enriching her innovative endeavors.
Conclusion
Ekaterina Suvorova's contributions to document search technologies exemplify her commitment to innovation and improvement in the field. Her patents reflect a deep understanding of user needs and technological advancements, making her a significant figure in the realm of electronic document retrieval.