Search Engine Intention Clarification Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search engines struggle to provide accurate results due to unclear or incomplete user queries, leading to high search costs and unsatisfied user requirements, especially when users are unfamiliar with the query's context.
Innovation Solution
A computer-implemented information searching method that receives a first query, obtains an intention clarification guidance sentence, updates the query based on this guidance, and returns a search result, thereby clarifying the user's search intention and improving search engine accuracy and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user inputs a query directly without guidance, then the search process is simple and fast, but the search intention is unclear and the search result accuracy is low
Solution Approach 1:
The system performs preliminary action by providing intention clarification guidance sentences before the user submits their final query. These guidance sentences help users refine their search intentions in advance, ensuring that the search query accurately reflects what the user is looking for, thereby improving search intention identification accuracy without significantly increasing overall process complexity
Solution Approach 2:
The intention clarification guidance sentence acts as an intermediary between the user's initial query and the final search execution. It mediates by providing structured guidance that helps transform vague user intentions into precise search queries, improving accuracy while maintaining a manageable level of interaction complexity
2Measurement precision
If the user changes the query multiple times to perform a search, then the search intention becomes clearer, but the searching cost is dramatically high
Solution Approach 1:
The system performs preliminary action by providing intention clarification guidance sentences before the user submits their final query. These guidance sentences help users refine their search intentions in advance, ensuring that the search query accurately reflects what the user is looking for, thereby improving search intention identification accuracy without significantly increasing overall process complexity
Solution Approach 2:
The system implements feedback by analyzing the initial query and providing targeted guidance sentences that help users improve their search queries. This feedback mechanism guides users to refine their queries with fewer iterations, reducing the time and effort required compared to traditional trial-and-error searching
3Ease of operation
If the search engine provides detailed guidance sentences, then the user experience is improved, but the processing complexity increases
Solution Approach 1:
The system applies local quality by providing targeted, context-specific guidance sentences rather than generic instructions. The guidance is customized based on the specific query and identified intention gaps, delivering high-quality user experience improvements where needed most while avoiding unnecessary processing complexity in areas where the query is already clear
Solution Approach 2:
The system changes parameters by dynamically adjusting the type and detail level of guidance provided based on query analysis results. When queries are clear, minimal guidance is provided; when queries are ambiguous, more detailed guidance sentences are generated, optimizing the balance between user experience and processing complexity
Data Source
AI summary
An information searching method and an information searching device are provided. The information searching method includes: receiving, at one or more computing devices, a first query from a client device, and obtaining, at the one or more computing devices an intention clarification guidance sentence according to the first query; receiving a second query updated according to the intention clarification guidance sentence; obtaining a search result according to the second query; and returning the search result to the client device.