Abstract
The technology described in this paper relates to providing personalized query results to users based on inferred semantics associated with the query and the user submitting the query. The query may be a search query, a navigation query, an agentic query, or the like. The semantics include, for example, personally meaningful concepts associated with the user submitting the query. The inferred semantics are determined using an artificial intelligence (“AI”) model. The queries can be input in a natural language form. The queries may include user-specific context, such as references to user-specific data related to historical queries, calendar entries, contact information, or the like. With the user’s authorization, the user data may be accessed, and information identified therein may be correlated with the user-specific context to return personalized results.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Whalin, Tim; Krasney, Nick; and Gupta, Gaurav, "Personalized Semantics In Queries", Technical Disclosure Commons, (March 18, 2025)
https://www.tdcommons.org/dpubs_series/7922