Google llc (20240119047). ANSWER FACTS FROM STRUCTURED CONTENT simplified abstract
Contents
- 1 ANSWER FACTS FROM STRUCTURED CONTENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ANSWER FACTS FROM STRUCTURED CONTENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
ANSWER FACTS FROM STRUCTURED CONTENT
Organization Name
Inventor(s)
Jayant Madhavan of San Francisco CA (US)
Hongrae Lee of Santa Clara CA (US)
Sreeram Viswanath Balakrishnan of Los Altos CA (US)
Warren H.Y. Shen of Sunnyvale CA (US)
ANSWER FACTS FROM STRUCTURED CONTENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119047 titled 'ANSWER FACTS FROM STRUCTURED CONTENT
Simplified Explanation
The patent application describes a method for providing structured fact sets in response to question queries by identifying resources, selecting structured content sets, and generating structured fact sets based on matching attributes.
- Receiving a question query seeking an answer response
- Identifying resources responsive to the query
- Selecting structured content sets with related attributes
- Matching query terms with content set attributes
- Generating structured fact sets from matched attributes
- Providing structured fact sets with search results
Potential Applications
This technology could be applied in:
- Search engines to provide more accurate and relevant answers to user queries
- Customer service chatbots to quickly retrieve and present information to customers
Problems Solved
- Improving search accuracy by matching query terms with structured content attributes
- Enhancing user experience by providing structured fact sets with search results
Benefits
- Increased efficiency in retrieving and presenting information
- Enhanced user satisfaction with more relevant search results
Potential Commercial Applications
Optimizing search engines for better user experience
Possible Prior Art
One possible prior art could be the use of natural language processing algorithms to match query terms with structured content attributes.
Unanswered Questions
How does the method determine the top-ranked subset of resources?
The method does not specify the criteria or algorithm used to identify the top-ranked subset of resources.
What types of structured content sets are most commonly selected by the method?
The patent application does not provide information on the frequency or types of structured content sets selected by the method.
Original Abstract Submitted
in one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.
