Search Query Selection via Advertising Revenue Optimization
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Solution Overview
Problem
Current systems fail to effectively select and display search queries with associated data based on advertising revenue, leading to suboptimal user experiences and revenue generation.
Innovation Solution
A method and system that receive a request for data associated with search terms, identify relevant data and search queries, determine advertising revenue for these queries, and select queries with higher advertising revenue for display, generating a graphical user interface to showcase this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If search queries are displayed based on traditional relevance criteria, then user experience is maintained at acceptable levels, but advertising revenue is suboptimal
Solution Approach 1:
The patent changes the selection parameter from traditional relevance criteria to advertising revenue-based criteria. The system determines advertising revenue amounts for search queries and selects queries based on these revenue amounts, thereby transforming the optimization objective to maximize advertising revenue while maintaining acceptable user experience through relevance-based filtering
2Productivity
If all search queries are displayed regardless of revenue potential, then user engagement is maximized, but revenue generation is suboptimal
Solution Approach 1:
The system changes the selection criterion from quantity-based to revenue-based parameter optimization. By determining advertising revenue amounts for each search query and selecting queries based on these revenue amounts, the system maximizes revenue generation while maintaining a manageable number of displayed queries through relevance-based filtering
Solution Approach 2:
The patent applies local quality by differentiating the treatment of search queries based on their individual revenue potential. Each query is evaluated and selected based on its specific advertising revenue characteristics, allowing high-revenue queries to be prioritized while maintaining overall quality through relevance-based criteria
3Productivity
If search queries are selected based on advertising revenue, then revenue is improved, but query relevance may be compromised
Solution Approach 1:
The system changes the primary selection parameter to advertising revenue while maintaining relevance as a filtering criterion. By determining revenue amounts and selecting queries based on these amounts while still requiring relevance to search terms, the system achieves revenue optimization without completely sacrificing query relevance
Solution Approach 2:
The patent creates a composite selection criterion that combines both advertising revenue and relevance considerations. The system uses both parameters to determine query selection, effectively creating a hybrid evaluation model that balances revenue generation with maintaining acceptable query relevance
Data Source
AI summary
A method performed by one or more processing devices, comprising: receiving a request for data associated with search terms; identifying, in a storage device, the data associated with the search terms; identifying search queries associated with the search terms; determining amounts of advertising revenue for at least a plurality of the search queries; and selecting, from the plurality of the search queries and based on the amounts of advertising revenue, one or more search queries for display with the data associated with the search terms.