Exceptional Search Query Display System
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Solution Overview
Problem
Existing search technologies fail to accurately identify and display search queries that are indicative of current trends and significant events, often focusing on popularity rather than relevance and updating information infrequently.
Innovation Solution
A system and method for determining exceptional search queries by measuring their rising frequencies and displaying them to users in real-time or short intervals, using a user interface that filters and customizes the display of exceptional queries based on preselected criteria, and processing search query data to combine similar queries and filter out inappropriate content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the system displays all popular search terms, then the quantity of information provided to users increases, but the relevance to current trends and significant events decreases
Solution Approach 1:
The system extracts only the exceptional search terms that meet specific criteria (rising frequency above threshold, significance score above threshold) from the complete set of popular search terms. This selective extraction ensures that only terms relevant to current trends and significant events are displayed, rather than showing all popular terms indiscriminately.
Solution Approach 2:
The system applies different quality standards to different search terms by calculating significance scores and rising frequency metrics for each term. Terms are displayed with varying prominence based on their local quality characteristics (how exceptional they are), rather than treating all terms uniformly. This allows the system to maintain high relevance by showcasing only the most trend-indicative terms.
2Device complexity
If the system updates the search term list infrequently, then the system complexity and processing load decrease, but the timeliness and real-time relevance of trend information decreases
Solution Approach 1:
The system performs periodic updates of the exceptional search terms list at predetermined time intervals (e.g., every 15 minutes, 1 hour, or 24 hours). This periodic action balances the need for timely trend information with acceptable system complexity, as the processing is concentrated at regular intervals rather than continuously, while still providing relatively current trend data to users.
3Quantity of substance
If the system displays a comprehensive list of search terms, then the completeness of information increases, but the ease of operation and user focus on significant trends decreases
Solution Approach 1:
The system extracts and displays only the most significant exceptional search terms that meet predefined thresholds for rising frequency and significance. This extraction creates a focused, manageable list that helps users easily identify current trends without being overwhelmed by a comprehensive but undifferentiated list of all search terms.
Solution Approach 2:
The system visually distinguishes exceptional search terms from regular terms using formatting differences (such as bold text, highlighting, or special icons). This visual differentiation makes it easy for users to identify which terms are currently trending and significant, improving ease of operation by drawing attention to the most important information without requiring users to analyze every term equally.
4Measurement precision
If the system uses a higher threshold for exceptional queries, then the precision of trend identification increases, but the quantity of displayed queries decreases
Solution Approach 1:
The system allows the thresholds for identifying exceptional queries (rising frequency threshold, significance score threshold) to be adjusted as parameters. By changing these parameter values, the system can balance between precision (higher thresholds yield more precise trend identification with fewer false positives) and quantity (lower thresholds yield more displayed queries but with potentially lower precision). This parametric control enables flexible optimization based on specific operational requirements.
Data Source
AI summary
Displaying an information product that includes exceptional search queries to a user can include receiving search queries, measuring the frequencies of search queries received, determining the search queries whose frequencies are rising in the most relevant manner, and then displaying these exceptional queries on a user interface. The user then can select one of the displayed exceptional queries, and then the system can provide search results corresponding with the exceptional queries. The activity of a particular query can be based on the frequency of the search query's reception over a given period of time, whether in relation to an expected frequency level or the rate of change of the frequency level. Additionally, the relevant periods of time over which activity is measured can be relatively short to maximize their relevance at a given instant.