Subject-Based Ranking via Writer-Reader Evaluation
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Solution Overview
Problem
Existing search technologies do not effectively enhance the quality of search results by considering content creation and consumption activities on the Internet, leading to limitations in ranking documents based on user interactions and professional credibility.
Innovation Solution
A method and system that evaluate writers and readers based on their activities in document creation and consumption spaces, applying subject-based scoring models to rank documents created by professional writers and consumed by professional readers, thereby enhancing search result quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing search techniques are used that depend only on query and basic document characteristics, then the search system is simple to operate, but the quality of search results cannot be enhanced effectively
Solution Approach 1:
The system performs preliminary evaluation of writers and readers before search queries are submitted. Writer evaluation scores and reader evaluation scores are pre-calculated and stored, so that when a search is performed, these pre-computed evaluations can be quickly applied to rank documents without adding real-time computational complexity to the search process itself.
Solution Approach 2:
The patent introduces writer evaluation scores and reader evaluation scores as intermediary components that mediate between the basic document characteristics and the final search result ranking. These intermediary scores capture the professional credibility aspects, allowing the system to improve search quality without directly complicating the core search mechanism.
2Measurement precision
If writer and reader evaluations are applied to document ranking, then document credibility is improved, but the calculation complexity increases
Solution Approach 1:
The evaluation system is segmented into independent components: writer evaluation modules that assess writer credibility, reader evaluation modules that assess reader credibility, and document ranking modules that apply these evaluations. Each component operates independently with its own calculation logic, making the overall complex system manageable and maintainable while achieving precise credibility assessment.
Solution Approach 2:
The system changes the parameters used for document ranking by incorporating writer evaluation scores and reader evaluation scores as new ranking parameters. Instead of relying solely on traditional search parameters, the system transforms the ranking mechanism to include these credibility parameters, thereby improving measurement precision without fundamentally changing the underlying calculation framework.
3Measurement precision
If subject-based writer and reader evaluation is implemented, then search result accuracy is enhanced, but the data processing requirements increase
Solution Approach 1:
The system extracts only the essential evaluation information needed for search ranking - specifically writer evaluation scores and reader evaluation scores - from the vast amount of user interaction data available. By extracting only these critical parameters rather than processing all available data, the system achieves improved search accuracy without proportionally increasing data processing requirements.
Solution Approach 2:
Writer evaluations and reader evaluations are calculated in advance and stored in the system. This preliminary computation allows the actual search process to simply retrieve and apply these pre-computed scores rather than performing complex evaluations in real-time, thereby enhancing search accuracy while keeping data processing requirements during search operations manageable.
Data Source
AI summary
A subject-based ranking determining method and system based on an interaction between a writer and a reader. A subject-based ranking determining method may include evaluating a writer that creates content of a corresponding subject for each subject based on the corresponding subject; and providing a search result in which an evaluation result of the writer on a subject corresponding to an input query is applied to a content ranking in response to input of the query.