Cognitive Search Interface for Configurable Parameter Tuning
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Solution Overview
Problem
Conventional search tools provide limited options for configuring search queries, relying on keywords or regular expressions, which restrict the ability to perform complex searches within content files, leading to less accurate and focused results.
Innovation Solution
An electronic device and method for a cognitive search interface that allows users to configure search queries using advanced parameters like confidence score, similarity score, and affinity score, along with interactive UI elements such as sliders and graphs, enabling fine-tuning of search parameters and data types like images, audio, and sensor inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search tools use keyword-based or regular expression options, then the search interface remains simple and easy to operate, but the search capability is limited and results are less accurate
Solution Approach 1:
The search interface is segmented into multiple independent configuration modules, each handling a specific parameter (confidence score, similarity score, affinity score, data types). This allows users to access advanced search capabilities through discrete, manageable sections rather than a monolithic complex interface, resolving the contradiction by organizing complexity into separable functional units.
Solution Approach 2:
The patent introduces additional configuration dimensions beyond traditional keyword search, including confidence scoring, similarity metrics, and affinity parameters. These new dimensions expand the search space and enable more precise results without necessarily increasing the perceived interface complexity, as each dimension is presented as a separate configurable attribute.
2Measurement precision
If advanced search parameters like confidence score, similarity score, and affinity score are introduced, then search results become more accurate and focused, but the interface becomes more complex
Solution Approach 1:
The patent transforms qualitative search concepts into quantifiable parameters (confidence score, similarity score, affinity score) that can be independently adjusted. This parameterization approach enables precise control over search behavior while maintaining ease of operation, as users can modify individual parameters without understanding the entire search system's complexity.
Solution Approach 2:
The interface provides pre-configured parameter settings and default values that work effectively for common search scenarios. Users can perform accurate searches without manually configuring all parameters, as the system has already performed preliminary optimization of search settings for typical use cases, thereby maintaining ease of operation while achieving high accuracy.
3Adaptability or versatility
If multiple data types like images, audio, and sensor inputs are supported, then the search versatility improves, but the device complexity increases
Solution Approach 1:
The search system is designed with universal processing capabilities that can handle multiple data types (images, audio, sensor inputs) through a common architecture. Rather than implementing separate specialized systems for each data type, the patent creates a multi-functional search engine that processes diverse inputs through unified parameter configuration, thereby achieving versatility without proportionally increasing system complexity.
Data Source
AI summary
An electronic device and method for providing a user interface for a cognitive search in content is provided. The electronic device controls a display device to render an application interface that includes UI elements. The UI elements include a UI element to select media items, a UI element to select input data to be used for search inside content of each media item, and interactive UI elements to configure parameters that control the search inside the content or a metasearch within results of the search. The electronic device receives an input via the UI elements and transmits a search request to a search engine system. The electronic device receives a search result that identifies, from within the content or associated metadata, content elements that match the input data and satisfy the parameters. The display device is controlled to render the search result onto the application interface.