Company Filing History:
Years Active: 2019-2022
Title: Innovations by Muhieddine El Kaissi
Introduction
Muhieddine El Kaissi is an accomplished inventor based in Dublin, California. He has made significant contributions to the field of technology, particularly in the area of search methodologies. With a total of 6 patents to his name, El Kaissi continues to push the boundaries of innovation.
Latest Patents
One of his latest patents is focused on facet-based conversational search. This method involves receiving a current search query from a user device in an unstructured format. After receiving the query, the system retrieves a corresponding list of facets and associated values, taking into account the context of the current search query. The method determines a group of actions based on the current and previous lists of facets, creating an updated list that generates a database query. This innovative approach enhances the efficiency of database searches and improves user experience.
Another notable patent by El Kaissi also revolves around facet-based conversational search. This method identifies facets and associated values from a search query that is part of a search conversation. It derives a second list of facets based on the context of the search query, generating a database query that leads to a more refined search result. This invention showcases his commitment to advancing search technology.
Career Highlights
Muhieddine El Kaissi is currently employed at Microsoft Technology Licensing, LLC. His work at this leading technology company allows him to collaborate with other talented professionals in the field.
Collaborations
Some of his notable coworkers include Sidhartha Andrew Palani and Majid Yazdani. Their collective expertise contributes to the innovative projects they undertake at Microsoft.
Conclusion
Muhieddine El Kaissi is a prominent inventor whose work in facet-based conversational search is shaping the future of technology. His contributions are invaluable to the field, and his ongoing innovations promise to enhance user interactions with search systems.