Search Result Ranking by Data Usage Measure
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Solution Overview
Problem
Current search engines do not effectively rank search results based on the data usage required to load documents, which can impact user experience, especially for users with limited data plans or navigating to high-data-usage content.
Innovation Solution
A method is implemented to rank search result documents by determining a data measure indicative of the amount of data usage required to load each document, with rankings adjusted based on these measures, promoting documents with lower data usage and demoting those with higher data usage, especially for non-navigational queries and those likely issued via limited data plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If search results are ranked based on traditional relevance and importance metrics, then document visibility and user access to information is improved, but data usage and bandwidth consumption increases
Solution Approach 1:
The patent introduces a new ranking parameter (data usage measure) that modifies the traditional search result ranking system. By incorporating data usage as a ranking factor alongside relevance and importance, the system changes the parameters used to evaluate and order search results, enabling it to balance information accessibility with data conservation goals
2Loss of information
If high-quality documents with comprehensive content are prioritized in search results, then information completeness is improved, but document loading time and data consumption increase
Solution Approach 1:
The system modifies the ranking parameters to include data usage metrics, which correlates with loading time. By adjusting the weighting of data usage in the ranking algorithm, the system can prioritize documents that provide sufficient information completeness while requiring less data to load, thereby reducing user waiting time
3Productivity
If search engines provide comprehensive search results without data usage consideration, then user access to relevant information is improved, but bandwidth consumption and network load increase
Solution Approach 1:
The patent implements data usage as a explicit ranking parameter that modifies how search results are ordered. This parameter change enables the search engine to maintain information retrieval efficiency by still providing relevant results while simultaneously reducing bandwidth consumption by prioritizing more data-efficient documents in the ranking
Data Source
AI summary
Methods and apparatus for ranking one or more documents that are responsive to a search query. A document that is responsive to the search query may be ranked based on a data measure of the document that is indicative of an amount of data usage required to load the document. In some implementations, the data measure of the document may be a measured value based on actual data usage during retrieval of the document. In some implementations, the ranking of two or more documents may be based on comparison of the data measures of the two or more documents.