18675784. METHODS, SYSTEMS, AND MEDIA FOR INTERPRETING QUERIES simplified abstract (Google LLC)
Contents
METHODS, SYSTEMS, AND MEDIA FOR INTERPRETING QUERIES
Organization Name
Inventor(s)
Yongsung Kim of Mountain View CA (US)
METHODS, SYSTEMS, AND MEDIA FOR INTERPRETING QUERIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18675784 titled 'METHODS, SYSTEMS, AND MEDIA FOR INTERPRETING QUERIES
The abstract describes methods, systems, and media for interpreting voice queries in a search domain. It involves determining voice recognition terms, identifying entity names, assigning feasibility scores, ranking terms, and executing queries based on the ranking.
- Determining voice recognition terms from a voice query in a search domain.
- Identifying entity names associated with the search domain.
- Assigning feasibility scores to the voice recognition terms based on the entity names.
- Ranking the voice recognition terms based on the feasibility scores.
- Executing the voice query in the search domain using the top-ranked voice recognition term.
Potential Applications: - Voice search technology - Virtual assistants - Natural language processing systems
Problems Solved: - Improving accuracy of voice recognition in search queries - Enhancing user experience in voice-based interactions
Benefits: - Faster and more accurate voice search results - Improved user satisfaction with voice-enabled devices
Commercial Applications: Title: Voice Search Optimization Technology for Enhanced User Experience This technology can be used in voice-activated devices, search engines, and customer service applications to streamline voice interactions and improve search accuracy.
Questions about Voice Search Optimization Technology: 1. How does this technology improve the accuracy of voice recognition in search queries? 2. What are the potential commercial applications of this voice search optimization technology?
Original Abstract Submitted
Methods, systems, and media for interpreting queries are described herein. For example, an illustrative method may include: determining, based on a voice query received in a search domain, a first voice recognition term and a second voice recognition term; determining that at least a portion of the first voice recognition term corresponds to an entity name associated with the search domain; determining, based on the entity name, a feasibility score for the first voice recognition term; ranking, based on the feasibility score, the first voice recognition term over the second voice recognition term; and executing the voice query in the search domain using the first voice recognition term, the first voice recognition term being selected for use over the second voice recognition term based on the ranking. Corresponding systems, devices, and other implementations are also described.
