Document Ranking Weighting Based on Version Content Differences
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Solution Overview
Problem
Search engines face challenges in accurately ranking documents over time due to changes in document content, as quality of result statistics derived from past versions become outdated, leading to inaccurate rankings.
Innovation Solution
A system generates weighted quality of result statistics by determining differences between document versions and a reference version, allowing for the weighting and combination of version-specific quality metrics to provide a more accurate overall quality score that reflects current document content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quality of result statistics are derived from past versions of documents, then historical user behavior data is preserved, but the accuracy of current document ranking deteriorates due to content changes
Solution Approach 1:
The system dynamically adjusts the weighting of quality of result statistics based on document version differences. Instead of using static historical statistics, it calculates weights that reflect the degree of change between document versions, making the ranking system adaptive to content evolution while preserving relevant historical information
Solution Approach 2:
The system changes the parameter of quality statistic weighting by introducing version-difference-based weights. The weight assigned to each historical quality statistic is modified according to the measured difference between document versions, transforming the ranking calculation from a static to a parameter-adjusted process that accounts for content changes
2Quantity of substance
If version-specific quality statistics are combined without weighting, then all historical data is utilized, but the influence of outdated document versions deteriorates ranking accuracy
Solution Approach 1:
The system applies local quality by assigning different weights to different version-specific quality statistics based on their relevance. Instead of uniform treatment, each historical quality statistic receives a localized weight that reflects the degree of similarity between that document version and the current version, ensuring that more relevant historical data has greater influence
3Ease of operation
If document content changes are not considered, then processing simplicity is maintained, but the relevance of quality statistics to current content deteriorates
Solution Approach 1:
The system performs preliminary action by pre-calculating document version differences and using these differences to determine weights for quality statistics before the actual ranking process. This preparation step ensures that when ranking occurs, the relevant weighting information is already available, maintaining processing efficiency while improving relevance
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media for determining a weighted overall quality of result statistic for a document. One method includes receiving quality of result data for a query and a plurality of versions of a document, determining a weighted overall quality of result statistic for the document with respect to the query including weighting each version specific quality of result statistic and combining the weighted version-specific quality of result statistics, wherein each quality of result statistic is weighted by a weight determined from at least a difference between content of a reference version of the document and content of the version of the document corresponding to the version specific quality of result statistic, and storing the weighted overall quality of result statistic and data associating the query and the document with the weighted overall quality of result statistic.