Contextual Query Generation for Rich Content Search
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Solution Overview
Problem
Search systems often fail to provide rich, relevant content that effectively conveys both the question and answer to users, leading to inconsistent and irrelevant information in response to question queries.
Innovation Solution
A method is introduced where a contextual query is generated from both the question and answer terms, submitted to a rich content search process, and the resulting images are ranked and selected based on context conditions to ensure that only relevant, contextual information is provided as part of the answer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If rich content items are provided in response to question queries, then the information completeness is improved, but the relevance and consistency of the content may deteriorate
Solution Approach 1:
The patent introduces a contextual query as an intermediary between the original question query and the rich content search. This contextual query incorporates both the question terms and answer terms, acting as a mediator to guide the search for rich content that is relevant to both the question and its answer, thereby resolving the contradiction between information completeness and content relevance
Solution Approach 2:
The patent changes the search parameters by generating a contextual query that combines question terms and answer terms. This parameter change transforms the search from being solely question-driven to being contextually-driven, ensuring that rich content items are selected based on their relevance to both the question and answer, thus maintaining reliability while improving information completeness
2Device complexity
If rich content search is performed using only the question query, then the search simplicity is improved, but the contextual relevance of the results deteriorates
Solution Approach 1:
The patent applies preliminary action by generating a contextual query before performing the rich content search. This contextual query is prepared in advance by combining question terms and answer terms, so that when the search is executed, it already contains the necessary contextual information to retrieve relevant rich content, thus avoiding the need for complex post-processing while maintaining contextual relevance
3Loss of information
If multiple rich content items are selected to provide comprehensive information, then the information completeness is improved, but the selection precision deteriorates
Solution Approach 1:
The patent changes the selection parameters by using a contextual query that incorporates both question terms and answer terms. This parameter change enables the system to evaluate rich content items based on their relevance to the entire context (question + answer) rather than just the question alone, thereby improving selection accuracy while maintaining information completeness
Solution Approach 2:
The contextual query serves as an intermediary that mediates between the question and the rich content items. By incorporating answer terms into the contextual query, it provides a more precise filtering mechanism that improves selection accuracy while still retrieving comprehensive information relevant to both the question and its answer
Data Source
AI summary
Methods and systems for providing rich content with an answer to a question query. A method includes receiving a query determined to be a question query and a corresponding answer generated in response to the question query, generating a contextual query that includes an element relating to the question query and an element relating to the answer; submitting the contextual query to a rich content search process and receiving data specifying a first set of rich content items responsive to the contextual query, determining first rich content item in the first set of rich content items that meet a context condition that is indicative of a rich content item providing contextual information of both elements of the question query and the answer query; and preferentially selecting from the first content items relative to the second rich content items to be provided as one or more answer rich content items.