Characteristic-Based Clothing Selection System
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Solution Overview
Problem
Individuals with visual impairments, such as color blindness, face challenges in selecting clothing due to the high cost and susceptibility to loss of existing optical filtering devices, necessitating a cost-effective and reliable solution for characteristic-based item selection.
Innovation Solution
A computer-implemented method in a networked computing environment populates a storage device with items associated with characteristics, generates compatibility scores, and matches additional items based on criteria, enabling characteristic-based selection of clothing items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If optical filtering devices are used to address visual impairments, then the ability to select clothing items is improved, but the cost increases and reliability decreases due to susceptibility to loss
Solution Approach 1:
The patent creates a digital copy of the user's clothing inventory and characteristics in a database, allowing the system to analyze and match items without requiring physical optical filtering devices. The computer generates compatibility scores based on stored characteristics, replacing the need for physical aids with digital information processing.
Solution Approach 2:
The patent replaces mechanical/optical filtering devices with a computer-based information processing system. Instead of using optical filters to help users perceive color and characteristics, the system uses software to analyze item characteristics, calculate compatibility scores, and present matching recommendations, substituting a mechanical optical system with an electronic computational system.
2Ease of operation
If optical filtering devices are used to address visual impairments, then the ability to select clothing items is improved, but the cost increases
Solution Approach 1:
The patent creates a digital copy of the user's clothing inventory and characteristics in a database, allowing the system to analyze and match items without requiring physical optical filtering devices. The computer generates compatibility scores based on stored characteristics, replacing the need for physical aids with digital information processing.
Solution Approach 2:
The patent replaces mechanical/optical filtering devices with a computer-based information processing system. Instead of using optical filters to help users perceive color and characteristics, the system uses software to analyze item characteristics, calculate compatibility scores, and present matching recommendations, substituting a mechanical optical system with an electronic computational system.
3Measurement precision
If compatibility scores are generated for all items, then the accuracy of item matching is improved, but the computational complexity increases
Solution Approach 1:
The patent segments the item matching process into distinct phases: first storing characteristics during inventory creation, then generating compatibility scores only when items need to be matched. The system divides the large set of all possible item comparisons into manageable operations by pre-processing characteristics and only calculating scores for relevant item pairs based on user queries or shopping scenarios.
Solution Approach 2:
The patent performs preliminary action by storing and organizing item characteristics in advance during inventory creation. When matching is needed, the system retrieves pre-stored characteristics and calculates compatibility scores based on these pre-processed data, rather than analyzing all items from scratch each time a match is needed.
Data Source
AI summary
Embodiments of the present invention relate to an approach for characteristic-based (e.g., color) selection of items (e.g., clothing) in a networked computing environment (e.g., a cloud computing environment). Specifically, at least one computer storage device will be populated with a first set of items. The first set of items may be associated in the at least one computer storage device with a first set of corresponding characteristics. A computer data structure may then be generated that comprises compatibility scores of the first set of items to one another. A second set of items may then be received in the at least one computer storage device. The second set of items may also be accompanied by a second set of corresponding characteristics. A set of matches between the first set of items and the second set of items may then be generated according to one or more criteria.


