Search Result Score Adjustment via Trustworthiness Analysis
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Solution Overview
Problem
Current search engines face challenges in accurately ranking search results based on user-specific and general user clues, as they rely on traditional methods that do not effectively account for the trustworthiness of sources and user interactions.
Innovation Solution
The system processes query information by determining the trustworthiness of document scores based on various dimensions such as location, language, and user interactions, and adjusts rankings accordingly to improve search result relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional search ranking methods are used, then search results can be generated quickly, but the accuracy and relevance of search results deteriorate due to inability to account for source trustworthiness and user interactions
Solution Approach 1:
The patent segments the search ranking process into multiple independent components: a base ranking system that provides initial document scores, a trustworthiness analysis module that evaluates source reliability, and a score adjustment module that modifies scores based on trustworthiness metrics. This segmentation allows each component to be optimized independently while maintaining overall system manageability.
Solution Approach 2:
The patent introduces trustworthiness metrics as an intermediary layer between the base search ranking and the final presented results. These metrics act as a mediator that translates source reliability information into score adjustments, enabling the system to account for source trustworthiness without requiring complete redesign of the ranking algorithm.
2Measurement precision
If multiple factors including trustworthiness are considered in ranking, then search result quality improves, but the processing time and computational resources increase
Solution Approach 1:
The patent performs trustworthiness analysis as a preliminary action during the indexing and document processing phase, before the actual search query is executed. Trustworthiness metrics are pre-computed and stored alongside document metadata, allowing the search system to quickly retrieve and apply these pre-analyzed scores without performing complex calculations during query processing.
Solution Approach 2:
The patent applies trustworthiness adjustments locally to individual documents based on their specific source characteristics, rather than applying a global adjustment to all results. Each document's score is modified according to its own trustworthiness metrics, allowing selective optimization that minimizes overall processing overhead while maintaining quality where it matters most.
3Reliability
If trustworthiness metrics are applied to all search results, then relevance accuracy improves, but the system complexity and computational overhead worsen
Solution Approach 1:
The patent implements partial application of trustworthiness metrics by applying them selectively to documents where source reliability is a significant factor, rather than uniformly to all results. The system identifies documents that benefit most from trustworthiness adjustment and applies metrics primarily to those cases, reducing overall system complexity while maintaining reliability where it provides the greatest value.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improving search results. In one aspect, a method includes receiving documents responsive to a query, each document having an associated score indicative of the document's relevance to the query. The method includes determining, for a plurality of the associated scores, a distribution of the scores along a dimension that measures trustworthiness of the scores. The method also includes reducing each of one or more of the plurality of associated scores by an amount determined based on the score's respective trustworthiness and properties of the distribution, and ranking the documents to account for the reduced scores.