Roquefort-les-Pins, France

Thibault Toledano

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Amadeus S.a.s.. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Thibault Toledano: Innovator in Conversational Search Technology

Introduction

Thibault Toledano is an inventive mind based in Roquefort-les-Pins, France. He is known for his contributions to the field of search engine technology, particularly in the area of dynamic query management and network search optimization. Although he currently holds no granted patents, his innovative ideas are reflected in his latest patent applications.

Latest Patent Applications

Toledano's recent patent applications include "SYSTEM AND METHOD FOR DYNAMIC QUERY MANAGEMENT USING META-DESCRIPTIONS IN A CONVERSATIONAL SEARCH ENGINE." This application describes a search engine server that utilizes a network interface, processor, and memory to establish a conversational session with a client device. The server determines parameters from the client's request intention and selects nodes representing various sources, including APIs and databases. This system optimizes data retrieval by creating a query graph that facilitates network queries based on the client's needs.

Another notable application is "SYSTEM, METHOD AND APPARATUS FOR NETWORK SEARCH WITH CACHING." This application outlines a computing device capable of determining a set of canonical parameters to refine search queries. The device extracts a sparse data domain from a master data domain and caches it for accessibility by client devices connected to the network. This innovation aims to enhance the efficiency of network searches.

Conclusion

Thibault Toledano is an emerging inventor whose work in conversational search technology showcases his potential to influence the field. His latest patent applications reflect a commitment to improving data retrieval processes, which could have significant implications for future innovations in search engine technology.

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