Snowflake Inc. (20240281472). INTERACTIVE INTERFACE WITH GENERATIVE ARTIFICIAL INTELLIGENCE simplified abstract
Contents
INTERACTIVE INTERFACE WITH GENERATIVE ARTIFICIAL INTELLIGENCE
Organization Name
Inventor(s)
Cooper Paul Larhette of Moraga CA (US)
Seth Michael Li of Foster City CA (US)
Muhua Ngan of San Mateo CA (US)
Vivek Raghunathan of Palo Alto CA (US)
Sridhar Ramaswamy of Cupertino CA (US)
INTERACTIVE INTERFACE WITH GENERATIVE ARTIFICIAL INTELLIGENCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240281472 titled 'INTERACTIVE INTERFACE WITH GENERATIVE ARTIFICIAL INTELLIGENCE
The abstract describes an interactive search method that utilizes a browser-based interface and generative artificial intelligence to enhance user search experiences. The method involves receiving an initial search query from a user, generating a proposed search result via hardware processors, and displaying the result to the user. To refine search accuracy, the method recommends clarifying questions and soliciting additional search parameters. Upon receiving an updated search query, the system interactively refines the initial query and displays an updated search result. This process allows for dynamic query adjustment and improved search result relevance in real-time.
- Browser-based interface and generative artificial intelligence used for interactive search
- Initial search query received from user
- Proposed search result generated via hardware processors
- Refinement of search accuracy through clarifying questions and additional search parameters
- Updated search query leads to interactive refinement of initial query
- Real-time dynamic query adjustment and improved search result relevance
Potential Applications: - Enhanced user search experiences - Improved search result relevance - Real-time query adjustment
Problems Solved: - Inaccurate search results - Lack of user interaction in search refinement
Benefits: - Enhanced user experience - Improved search result accuracy - Real-time query adjustments
Commercial Applications: - Online search engines - E-commerce platforms - Information retrieval systems
Questions about the technology: 1. How does the generative artificial intelligence enhance user search experiences? 2. What are the potential implications of real-time query adjustments in search results?
Original Abstract Submitted
an interactive search method is disclosed, utilizing a browser-based interface and generative artificial intelligence to enhance user search experiences. the method involves receiving an initial search query from a user, generating a proposed search result via hardware processors, and displaying the result to the user. to refine search accuracy, the method recommends clarifying questions, soliciting additional search parameters. upon receiving an updated search query, the system interactively refines the initial query and displays an updated search result. this process allows for dynamic query adjustment and improved search result relevance in real-time.
