ENGAGEMENT-BASED ESTIMATION OF QUERY SPECIFICITY

Organization Name

Inventor(s)

Nicole Isabel Mcnabb of Sunnyvale CA (US)

Krishan Sravanthi Rajanala Sai of Dublin CA (US)

ENGAGEMENT-BASED ESTIMATION OF QUERY SPECIFICITY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240256616 titled 'ENGAGEMENT-BASED ESTIMATION OF QUERY SPECIFICITY

The abstract describes a system with processors and computer-readable media that perform operations such as generating specificity scores for queries, propagating scores, training a machine-learning classifier, and generating specificity scores for queries using the classifier.

System includes processors and computer-readable media
Operations involve generating specificity scores for queries
Propagating scores from one query to another
Training a machine-learning classifier based on queries
Generating specificity scores for queries using the classifier

Potential Applications: - Search engine optimization - Information retrieval systems - Data analysis and classification

Problems Solved: - Improving query specificity - Enhancing search accuracy - Optimizing machine-learning classifiers

Benefits: - Increased search relevance - Enhanced user experience - Efficient data processing

Commercial Applications: Title: "Enhanced Search Engine Optimization System" This technology can be utilized in search engine optimization tools, online advertising platforms, and e-commerce websites to improve search results and user engagement. Market implications include increased website traffic, higher conversion rates, and improved customer satisfaction.

Prior Art: Researchers can explore prior art related to machine-learning classifiers, query specificity scoring, and search engine optimization algorithms to understand the evolution of this technology and identify potential areas for further innovation.

Frequently Updated Research: Stay updated on advancements in machine-learning algorithms, natural language processing techniques, and search engine optimization strategies to enhance the performance and capabilities of this technology.

Questions about the technology: 1. How does this system improve search accuracy compared to traditional methods? 2. What are the key factors influencing the generation of specificity scores for queries?

Original Abstract Submitted

a system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform certain operations. the operations can include generating a first specificity score for a first query. the operations also can include propagating the first specificity score for the first query to generate a second specificity score for a second query. the operations additionally can include training a machine-learning classifier at least based on the first query and the second query. the operations further can include generating, using the machine-learning classifier, a third specificity score for a third query. other embodiments are described.