Web Document Original Detection via History Information Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge lies in accurately identifying original web documents amidst numerous copied documents in search results, as existing methods struggle to differentiate between them due to their identical or substantially identical nature, and manipulating publication times further complicates this process.
Innovation Solution
A method and system that utilize history information, such as generation or modification timestamps and content, to filter and detect original web documents by grouping similar documents based on their history, ensuring accurate ranking in search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If copied documents are ranked in search results, then search result quantity increases, but original document detection accuracy deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting history information (creation timestamps, modification records, citation data) from multiple sources before search ranking. This advance preparation of documentary evidence enables accurate original document identification even when copied documents are present in search results, resolving the contradiction between maintaining comprehensive search results and ensuring accurate original document detection.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring and comparing history information across multiple documents. When copied documents are detected through timestamp analysis and content comparison, the system adjusts search rankings to prioritize original documents. This feedback loop ensures that original document detection accuracy is maintained while still providing comprehensive search results.
2Device complexity
If document distributed time is used to identify original document, then detection process simplifies, but reliability deteriorates when time is manipulated
Solution Approach 1:
The system merges multiple independent verification methods including creation timestamps, modification history, citation records, and content fingerprinting. By combining these diverse history information sources, the system maintains simple detection processes while significantly improving reliability against timestamp manipulation. The multi-factor verification ensures that copied documents cannot easily fool the detection system.
Solution Approach 2:
The system creates a composite verification mechanism by integrating multiple types of history information (temporal data, citation networks, content metadata) into a unified detection framework. This composite approach resembles composite materials in that it combines different informational properties to achieve greater reliability than any single verification method could provide alone, while maintaining operational simplicity.
3Quantity of substance
If multiple copied documents exist with identical content, then search result completeness improves, but original document differentiation becomes difficult
Solution Approach 1:
The system transitions from two-dimensional content comparison to multi-dimensional analysis by examining documents across temporal dimensions (creation and modification timestamps), citation dimensions (references to source documents), and metadata dimensions (author information, publication records). This dimensional expansion enables effective differentiation of original documents from copied ones even when content is identical, while maintaining comprehensive search result coverage.
Data Source
AI summary
A method for detecting an original document of a web document, which is able to thwart manipulation of generation time of the web document. The method for detecting an original document of a web document comprises receiving history information on the generation or modification of web documents; filtering the web documents using the history information; and detecting an original document of the filtered web documents based on the history information.


