Product Search Sensibility Space Conversion
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Solution Overview
Problem
Consumers face difficulties in making purchase decisions when multiple product images are displayed randomly, leading to confusion and increased likelihood of not completing a purchase, especially when purchasing multiple products across different categories.
Innovation Solution
A product search apparatus and method that utilizes a product database to acquire and convert image physical amounts into sensibility blocks, allowing for category selection and search based on user preferences, enabling recommendation of products that match or differ from the initial product's impression, thereby facilitating the purchase decision of multiple products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple product images are displayed at random, then the display is simple and fast, but the consumer becomes confused and cannot make purchase decisions
Solution Approach 1:
The patent segments the product search process into distinct functional blocks within the sensibility space: a specific-product sensibility block corresponding to the input product, and multiple candidate product sensibility blocks. This segmentation allows the system to organize products by their sensibility characteristics rather than displaying them randomly, resolving the contradiction between simple display and meaningful organization.
Solution Approach 2:
The patent introduces a sensibility space as an intermediary conceptual framework between the product database and the consumer. This sensibility space, organized into blocks representing different sensory impressions, acts as a mediator that transforms random product data into meaningfully organized recommendations, enabling consumers to make informed decisions without being overwhelmed by unstructured information.
2Adaptability or versatility
If products across different categories are recommended, then the versatility of recommendations increases, but the consumer is confused by coordination issues
Solution Approach 1:
The patent applies local quality by allowing different regions (blocks) of the sensibility space to have different organizational characteristics. Each block represents a specific sensibility category, and products within each block share similar coordination characteristics. This allows the system to recommend diverse products across categories while maintaining local coherence within each sensibility block, resolving the coordination complexity issue.
Solution Approach 2:
The patent introduces a new dimensional framework—the sensibility space with multiple blocks—beyond traditional product categories. By organizing products in this additional dimensional space based on sensory impressions rather than categorical classifications, the system can recommend products across different categories while maintaining coordination harmony, as products are selected based on their sensibility block relationships rather than categorical compatibility.
3Productivity
If product images are displayed without consideration of consumer impression, then the display process is simple, but the consumer tires before finding favorite products
Solution Approach 1:
The patent performs preliminary action by pre-organizing the product database into a sensibility space with defined blocks before the consumer initiates a search. The system预先 (in advance) structures products according to their sensory characteristics and block relationships, so that when a consumer inputs a product, the system can quickly retrieve and present relevant candidates from appropriate blocks without requiring time-consuming random searches through the entire database.
Data Source
AI summary
A product search apparatus according to a preferred aspect of the present invention includes a physical amount acquisition unit that acquires a physical amount of an image of a specific product from a product database, a first conversion unit that converts the physical amount of the image of the specific product into information indicating a block in a sensibility space, a second conversion unit that converts the information indicating the block in the sensibility space into information indicating a range of a physical amount of an image, a category selection unit that selects a search target category, and a search unit that searches for an image corresponding to the search target category and a block of interest from the product database based on the search target category and the information indicating the range of the physical amount obtained by the second conversion unit.