Search Engine Intent Query System
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Solution Overview
Problem
Current search engines require users to input specific search terms to determine intent, which can be cumbersome on mobile devices and may not accurately distinguish between similar locations or topics, leading to inefficient search results.
Innovation Solution
A search engine that associates search terms with specific intents by accessing indices of pre-generated terms and using user behavior and external information like GPS to prioritize results, allowing it to determine user intent without additional input, and rearrange categories based on intent for better result presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users input additional search terms to specify intent, then search result relevance improves, but ease of operation deteriorates due to cumbersome input on mobile devices
Solution Approach 1:
The search engine automatically determines user intent by analyzing search terms and comparing them against intent indices without requiring users to manually specify their intent. The system self-services by inferring intent categories (local, news, sports, etc.) from the search query itself, eliminating the need for additional user input while maintaining high result relevance
Solution Approach 2:
The system pre-generates and stores multiple intent indices containing terms associated with different intent categories before users perform searches. By preparing these intent classifications in advance, the search engine can quickly match user queries to appropriate intent categories and reorder results accordingly, improving both accuracy and operational ease
2Ease of operation
If search results are presented in standard order, then ease of operation is maintained, but loss of time increases due to additional navigation needed to find relevant results
Solution Approach 1:
The search engine dynamically reorders search results based on the determined user intent category. Instead of using a fixed result order, the system adapts the presentation by moving results matching the inferred intent (local, news, sports, etc.) to prominent positions, reducing the time users need to scan through irrelevant results while maintaining ease of operation through automatic reorganization
3Device complexity
If search engine uses basic algorithms, then device complexity is low, but measurement precision deteriorates in determining user intent
Solution Approach 1:
The search engine segments its processing system by creating separate intent indices for different intent categories (local information, news, sports, entertainment, etc.). Each index contains pre-organized terms and weighting factors specific to that category. This segmentation allows the system to accurately determine user intent by comparing queries against multiple specialized indices rather than using a single complex algorithm, maintaining relatively simple device architecture while improving intent determination precision
Data Source
AI summary
A search engine compares entered search terms to an index of terms signifying a specific or local intent. If an entered term matches term in the index, then the search engine identifies and outputs information corresponding to the specific or local intent. Terms to include in the index of terms can be identified by monitoring the searching behavior of a set of users.