Dynamic Quality of Result Statistic Adjustment for Search Ranking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Search engines face challenges in accurately ranking search results over time due to changes in documents and user intent, as existing methods rely on historical data that may not reflect current content or user behavior.
Innovation Solution
Calculating time trend statistics for quality of result statistics to modify and provide inputs to document ranking processes, ensuring that rankings reflect current document content and user intent by identifying statistically significant changes in user behavior and document similarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If historical quality of result statistics are used for document ranking, then the ranking process has sufficient data for stable scoring, but the rankings become outdated and do not reflect current document content or user intent
Solution Approach 1:
The patent implements dynamic quality of result statistics that automatically adjust based on detected changes in document content and user behavior patterns. The system transitions from static historical data to dynamic data that adapts to current conditions, allowing rankings to remain both stable and current simultaneously.
Solution Approach 2:
The system changes the temporal parameters of quality of result statistics by introducing time-weighted calculations and change detection thresholds. By monitoring when documents and user behaviors change, the system adjusts which historical periods are relevant, effectively changing the time parameter to balance stability with currency of information.
2Measurement precision
If quality of result statistics are frequently updated to reflect current data, then the rankings remain current and relevant, but the system becomes more sensitive to statistical noise and minor fluctuations
Solution Approach 1:
The patent implements feedback mechanisms that monitor changes in quality of result statistics and only trigger ranking updates when changes exceed statistically significant thresholds. This feedback loop allows the system to remain responsive to genuine changes while filtering out statistical noise and minor fluctuations.
Solution Approach 2:
The system applies partial updates to quality of result statistics by selectively updating only those metrics that show statistically significant changes. Rather than updating all statistics uniformly, the system applies changes partially, updating only when necessary to maintain precision without overreacting to noise.
3Measurement precision
If the system monitors and detects changes in document content and user behavior, then it can accurately determine when to update rankings, but the computational complexity and data processing requirements increase
Solution Approach 1:
The patent segments the change detection process into distinct components: document content change detection, user behavior pattern detection, and statistical significance testing. By dividing the monitoring task into separate segments, the system can apply specialized efficient algorithms to each component rather than attempting comprehensive analysis as a single complex process.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for modifying historical data. One method includes calculating time trend statistics for a document and a query during different time periods. The method further includes modifying a quality of result statistic for the document as a search result for the query by a factor based on the one or more time trend statistics. The method further includes providing the modified quality of result statistic as an input to a document ranking process. Another method includes calculating a difference score for statistics for a group of documents and a query for a first time period and a second time period. The method further includes modifying quality of result statistics for documents responsive to the query based on the difference score. The method further includes providing the modified statistics as an input to a document ranking process.