Search Engine Financial Data Integration
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Solution Overview
Problem
Current search engines lack the ability to provide highly accurate and customized search results for users due to limited knowledge about individual user preferences beyond historical search data, resulting in irrelevant and randomly ordered search results.
Innovation Solution
A method and system that utilize a user's financial data to determine the scope and order of search results, integrating financial data from various sources into the search engine's algorithms to customize algorithmic and sponsored search results based on the user's financial transactions and overall status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search engines use only historical search data and general user data to determine search results, then the system complexity remains low, but the accuracy and relevance of search results deteriorates
Solution Approach 1:
The patent combines multiple data sources including financial data, historical search data, and user profile data into a unified search result determination system. The search engine integrates these diverse data types to comprehensively assess user needs and generate more accurate search results, resolving the contradiction by merging data sources rather than relying on a single limited source.
Solution Approach 2:
The patent introduces an intermediary layer that processes and analyzes financial data alongside traditional search parameters. This intermediary mechanism translates complex financial information into relevant search result weighting factors, enabling accurate search results without requiring the entire system to become unnecessarily complex.
2Measurement precision
If search engines integrate multiple data sources including financial data, then the relevance of search results improves, but the difficulty of detecting and measuring user needs increases
Solution Approach 1:
The patent segments the search result determination process into distinct modules: financial data processing, historical search analysis, user profile evaluation, and result ranking. Each module handles specific data types independently, making the overall complex task more manageable and measurable while maintaining high accuracy in user preference detection.
Solution Approach 2:
The patent transforms financial data into standardized parameters that can be directly compared and weighted against other user data. By converting diverse financial information into uniform measurement parameters, the system reduces the difficulty of detecting and measuring user needs while maintaining high precision in understanding user preferences.
3Adaptability or versatility
If search engines use financial data to customize search results, then the ability to target sponsored content improves, but the loss of information privacy increases
Solution Approach 1:
The patent applies local quality by using financial data selectively and specifically for determining search result relevance and sponsored content targeting, rather than broadly analyzing all user information. Only the necessary portions of financial data are accessed and processed, minimizing privacy intrusion while maintaining high customization capability.
Solution Approach 2:
The patent implements feedback mechanisms where users can control and adjust the level of financial data sharing. The system provides feedback to users about how their data is being used and allows them to modify privacy settings, enabling customized search results while giving users control over their information privacy.
Data Source
AI summary
A method and system for providing relevant search results using financial data includes a process for providing relevant search results using financial data whereby a user's financial transaction data is obtained from one or more sources. A user then initiates a network search using one or more network search parameters such as one or more keywords and/or phrases. The scope of the one or more network search parameters, and therefore the scope of the network search, are then determined and/or modified based, at least in part, on the user's financial data.