Assistant Search Result Monitoring for Post-Facto Query Delivery
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Solution Overview
Problem
Search engines often fail to provide high-quality search results when the information sought is not yet available or not indexed, requiring users to repeatedly submit queries, which consumes computational resources.
Innovation Solution
The system determines that no resources satisfy quality criteria in response to an initial query and provides content based on a subsequently available resource that meets the criteria, without requiring the user to resubmit the query, through monitoring and notification mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the search engine provides search results only when resources satisfy quality criteria, then the quality of search results is improved, but the time delay before providing results increases
Solution Approach 1:
The system performs preliminary actions by monitoring for resource availability and pre-evaluating resources against quality criteria before the user needs results. When a resource becomes available, the system has already prepared it for delivery, eliminating the need for users to wait or resubmit queries.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring resource availability and quality criteria satisfaction. When conditions change (resources become available), the system receives feedback and automatically triggers result delivery without requiring user intervention.
2Reliability
If the system monitors for subsequently available resources, then the quality of information provided is improved, but the computational resources consumed increase
Solution Approach 1:
The system applies partial monitoring by focusing computational efforts only on specific queries where resources are expected to become available, rather than monitoring all queries universally. This selective approach reduces overall computational overhead while maintaining high information quality for targeted cases.
Solution Approach 2:
The monitoring system operates autonomously without requiring user initiation or intervention. Once a query is submitted, the system self-manages the monitoring process, automatically detecting when resources become available and delivering results without consuming additional user computational resources.
3Device complexity
If the system requires users to resubmit queries for updated information, then the simplicity of the system is maintained, but the productivity decreases
Solution Approach 1:
The system provides self-service by automatically monitoring for resource availability and delivering results without requiring user action. This maintains the simplicity of the user interface while dramatically improving productivity through automated background processes that handle monitoring and result delivery.
Solution Approach 2:
The system maintains continuous monitoring of resource availability for submitted queries, ensuring that as soon as information becomes available, it is immediately delivered to the user. This continuous action eliminates gaps where users would otherwise need to resubmit queries, improving information delivery efficiency without adding user-facing complexity.
Data Source
AI summary
Methods, apparatus, and computer readable media related to determining that no resources responsive to a query of a user at a first time satisfy one or more criteria (e.g., one or more quality criteria) and, in response to such a determination: providing for presentation to the user at a later time, content that is based on a given resource that is responsive to the query at the later time and that satisfies the criteria. The given resource that is responsive to the query at the later time may be a resource that is in addition to any resources responsive to the query at the first time or may be a refined version of a resource that was responsive to the query at the first time.


