Persistent Search Engine Using Taxonomy-Based Intent Matching
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Solution Overview
Problem
Current search engine technologies face issues such as high advertising revenue dependency, click fraud, storage of irrelevant web pages, collection of personal information, and lack of relevance in search results, leading to inefficient consumer experience and reduced profitability for both buyers and sellers.
Innovation Solution
A system and method for electronically searching that provides relevant results through a persistent search engine, reducing dependency on advertising revenue, eliminating the need for storing irrelevant data, and protecting user privacy, while enabling proactive engagement between buyers and sellers based on common interests, using a taxonomy-based search index and private messaging system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If keyword search engines store and index billions of web pages to provide comprehensive search results, then search coverage is improved, but storage requirements and processing complexity increase significantly
Solution Approach 1:
The patent extracts only the essential search query information and user intent from the vast amount of web page data, storing only what is needed for matching rather than indexing all web pages. This reduces storage and processing requirements while maintaining effective search capability.
Solution Approach 2:
The search system segments the search process into distinct phases: query reception, intent analysis, and result matching. This segmentation allows the system to handle complex search tasks more efficiently by breaking down the processing into manageable steps, reducing overall system complexity.
2Productivity
If search engines rely on advertising revenue models, then profitability is improved, but dependency on advertising increases and click fraud becomes more prevalent
Solution Approach 1:
The patent converts the previously harmful effect of click fraud into a beneficial verification mechanism by requiring authenticated user actions. The system uses verified user interactions and intent signals to drive matching, eliminating the need for click-based advertising revenue and its associated fraud problems.
Solution Approach 2:
The patent changes the fundamental parameter of value exchange from click-based advertising to intent-based matching. Instead of measuring success by ad clicks, the system measures success by accurate intent fulfillment, fundamentally altering the economic model to reduce fraud dependency.
3Measurement precision
If search engines collect personal information from users to improve search relevance, then search accuracy is improved, but user privacy is compromised
Solution Approach 1:
The patent enables users to control their own search data and intent information, allowing them to provide minimal necessary information for accurate matching without external collection. Users serve their own privacy needs by voluntarily sharing only what is required for effective intent-based search.
Solution Approach 2:
The system applies partial action by collecting only the minimum necessary user information required for accurate intent matching, rather than comprehensive personal data collection. This partial data approach achieves sufficient search accuracy while minimizing privacy intrusion.
4Productivity
If traditional advertising models are used to reach buyers, then advertising revenue is improved, but the cost to reach buyers increases and effectiveness decreases
Solution Approach 1:
The patent performs preliminary action by analyzing user intent and preparing personalized match results before the user actively searches. The system continuously monitors and prepares relevant information based on user behavior patterns, enabling faster and more effective connection when the user is ready to act.
Solution Approach 2:
The system uses feedback from user interactions and intent signals to continuously improve matching accuracy. This feedback loop allows the system to learn from actual user behavior patterns, optimizing the time and effectiveness of reaching buyers through more precise intent-based matching.
Data Source
AI summary
The present invention provides a system, method and apparatus for electronically searching for an item by receiving a search request comprising a requested category and one or more requested attributes of the item and storing the search request in a search index based on the requested category and the requested attribute(s). The search index includes one or more categories and each category is defined by a taxonomy of attributes. The search index is then searched for any previously stored search requests that match the requested category and the requested attribute(s), a result of the search is determined and a search response that includes the result of the search is sent.