Teachable Moment Interface for Query Truncation
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Solution Overview
Problem
Users interacting with search systems often face inefficiencies in querying due to repetitive or unnecessary information submission, as existing systems lack the ability to recognize and respond to query patterns that indicate a need for improved interaction techniques.
Innovation Solution
Implementing a teachable moment interface that recognizes query patterns and provides users with instructive content to assist in more efficient querying, such as truncating queries based on context established by previous queries, thereby promoting more conversational and efficient interaction with the search system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users submit complete and detailed queries to ensure accurate search results, then search accuracy is improved, but query length and interaction complexity increase
Solution Approach 1:
The system performs preliminary analysis of query patterns by examining sequences of queries to identify when users are repeating information. This preliminary detection enables the system to proactively offer query truncation suggestions before users complete unnecessarily long queries, thereby reducing interaction complexity while maintaining search accuracy.
Solution Approach 2:
The system provides feedback to users by displaying suggestions that indicate what portions of their queries can be truncated based on the context of previous queries. This feedback loop allows users to understand the system's understanding of their search intent and adjust their queries accordingly, reducing interaction complexity while preserving search accuracy.
2Loss of information
If users submit repetitive information in each query, then search completeness is improved, but interaction efficiency deteriorates
Solution Approach 1:
The system performs preliminary analysis of query patterns by examining sequences of queries to identify when users are repeating information. This preliminary detection enables the system to proactively offer query truncation suggestions before users complete unnecessarily long queries, thereby reducing interaction complexity while maintaining search accuracy.
Solution Approach 2:
The system provides feedback to users by displaying suggestions that indicate what portions of their queries can be truncated based on the context of previous queries. This feedback loop allows users to understand the system's understanding of their search intent and adjust their queries accordingly, reducing interaction complexity while preserving search accuracy.
3Measurement precision
If the system processes every complete query as submitted, then query accuracy is maintained, but system resource utilization deteriorates
Solution Approach 1:
The system applies partial processing by truncating queries based on identified patterns rather than processing every complete query. By removing redundant portions of queries that can be inferred from context, the system reduces processing requirements while maintaining the essential search intent, thereby improving resource utilization without sacrificing query accuracy.
Solution Approach 2:
The system changes the parameter of query length by dynamically truncating queries based on contextual analysis. This parameter modification reduces the amount of data that needs to be processed while preserving the core search intent, leading to improved system resource utilization without compromising search accuracy.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a series of queries provided from a user device, the series of queries including two or more queries, obtaining a query pattern of the series of queries based on one or more entities and one or more aspects associated with the two or more queries, and determining, at least partially based on the query pattern, that a teachable moment interface is to be displayed with search results, and in response, transmitting content to be displayed in the teachable moment interface on a computing device.