METHODS, SYSTEMS, AND MEDIA FOR INTERPRETING QUERIES

Organization Name

Inventor(s)

METHODS, SYSTEMS, AND MEDIA FOR INTERPRETING QUERIES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240311374 titled 'METHODS, SYSTEMS, AND MEDIA FOR INTERPRETING QUERIES

The abstract describes methods, systems, and media for interpreting queries, such as voice queries in a search domain.

Determining first and second voice recognition terms from a voice query
Identifying entity names associated with the search domain
Calculating a feasibility score for the first voice recognition term based on the entity name
Ranking the first voice recognition term over the second term based on the feasibility score
Executing the voice query in the search domain using the first voice recognition term

Potential Applications: - Voice search technology - Natural language processing systems - Virtual assistants

Problems Solved: - Improving accuracy of voice recognition in search queries - Enhancing user experience in voice-based interactions

Benefits: - Faster and more accurate search results - Increased efficiency in voice command execution

Commercial Applications: Voice search technology can be utilized in various industries such as customer service, e-commerce, and smart home devices, enhancing user experience and streamlining operations.

Questions about voice recognition technology: 1. How does this technology improve voice search accuracy? 2. What are the potential limitations of using voice recognition in search queries?

Frequently Updated Research: Stay updated on advancements in voice recognition technology, natural language processing, and search algorithms to enhance the performance of voice-based systems.

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.