Search System Using Historical Records for Extended Results
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Solution Overview
Problem
Conventional search engines fail to directly meet user information requirements, as they lack the ability to provide relevant and high-quality search results that are easily accessible, relying on user-generated content with uncertain quality and requiring manual selection by users.
Innovation Solution
A method that utilizes historical search records to determine extended search results by matching a target search term with historical search records, identifying associated records based on relationships among them, and generating extended results from these associations to improve search quality and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional search engines rely on user-generated content, then the quantity of search results is increased, but the quality and reliability of search results deteriorates
Solution Approach 1:
The patent introduces a quality evaluation mechanism as an intermediary between user-generated content and search results. The search engine evaluates and scores content based on multiple dimensions (authority, completeness, timeliness, etc.) before presenting results to users, thus mediating between the quantity of user-generated content and the reliability of search results.
Solution Approach 2:
The system implements feedback mechanisms where user interactions (clicks, dwell time, returns) are continuously monitored and used to adjust content quality evaluations. This feedback loop improves search result quality over time by learning from actual user behavior patterns.
2Ease of operation
If search engines require manual selection by users, then the ease of operation is reduced, but the measurement precision of user information requirements is improved
Solution Approach 1:
The system performs preliminary actions by pre-evaluating and scoring content quality before users conduct searches. Quality metrics, authority scores, and relevance weights are pre-calculated and stored, enabling fast retrieval of high-quality results without requiring users to manually evaluate each result.
Solution Approach 2:
The search engine performs self-service by automatically evaluating content quality, ranking results, and filtering low-quality content without user intervention. The system autonomously manages the quality assessment process, freeing users from manual selection tasks while maintaining high precision in meeting information requirements.
3Quantity of substance
If search engines collect information from large numbers of websites, then the quantity of information is increased, but the difficulty of detecting and measuring quality increases
Solution Approach 1:
The patent segments the quality assessment process into multiple independent dimensions: content authority, completeness, timeliness, accuracy, and relevance. Each dimension is evaluated separately using specific metrics, making the overall quality measurement more manageable and systematic despite the large volume of information from numerous websites.
Solution Approach 2:
The system transforms qualitative quality concepts into quantitative parameters that can be automatically measured and compared. By defining specific parameters (e.g., authority score, completeness ratio, timeliness factor), the system enables automated detection and measurement of content quality across large numbers of websites.
Data Source
AI summary
A method, apparatus and device used to search for content, and a computer-readable storage medium, which relate to the field of data processing. In the method, in response to receiving a search request for a target search term, obtain multiple historical search records related to multiple historical search requests, each historical search record comprising the historical search term targeted by the corresponding historical search request. Then, determine a first historical search record matching the target search term from the multiple historical search records. Furthermore, based on the relationship between multiple historical search records, determine from the multiple historical search records a second historical search record associated with the first historical search record. The method further comprises determining an extended result for the target search term on the basis of the search result corresponding to the second historical search record. By means of the method, it is possible to provide extended results that may meet the search request of users, which improves the quality and effect of a search, and improves the user experience.