Product Search Sensibility Block Mapping
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Solution Overview
Problem
Existing product search technologies for general consumers are limited in recommending dissimilar images that evoke different impressions, leading to restricted product selection and difficulty in purchase decisions when images are displayed randomly.
Innovation Solution
A product search apparatus and method that converts physical attributes of a specific product into sensibility blocks in a multidimensional space, selects a block of interest different from the specific-product sensibility block, and searches for images within a corresponding physical amount range to recommend dissimilar products, allowing for user-designated sensibility word or block inputs to broaden the selection range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If product images are displayed at random without consideration of consumer impression, then the display system is simple and fast, but the consumer cannot easily decide on a purchase and the system fails to narrow down product options
Solution Approach 1:
The system pre-establishes a sensibility space database that maps product images to sensibility words and blocks before the actual search. This preliminary organization of product attributes into sensibility categories enables the system to quickly retrieve and display appropriate products based on consumer preferences without complex real-time processing during the purchase decision moment.
Solution Approach 2:
The sensibility space acts as an intermediary between the consumer's subjective impression and the objective product attributes. By converting product images into sensibility blocks and using sensibility words as mediators, the system bridges the gap between consumer perception and product selection, enabling more effective purchase decisions.
2Adaptability or versatility
If the system recommends only similar images with the same impression, then the consumer can easily make a decision, but the range of available products is restricted
Solution Approach 1:
The system dynamically adjusts the search range by allowing consumers to specify different sensibility blocks. Instead of being fixed to only similar images, the system can expand or contract the search scope based on consumer input, transitioning between recommending very similar products (easier decision) and more diverse products (wider selection) as needed.
Solution Approach 2:
The system adds a new dimension to product search by organizing products not just by physical attributes but by sensibility blocks and words. This additional dimension allows consumers to navigate product space in terms of impression and feeling, expanding the range of discoverable products beyond what traditional attribute-based search would provide.
3Adaptability or versatility
If the system searches for dissimilar images with different impressions, then the range of products is expanded, but the consumer may feel overwhelmed and have difficulty deciding
Solution Approach 1:
The sensibility space is segmented into multiple distinct blocks, each representing a different category of impression or feeling. This segmentation allows the system to present dissimilar products in an organized, manageable way rather than as a overwhelming random assortment. Consumers can navigate through segmented sensibility categories to find products that match their preferences without being overwhelmed by the entire product catalog at once.
Data Source
AI summary
The product search apparatus includes a physical amount acquisition unit acquires a physical amount of an image of a specific product from a product database, a first conversion unit converts the acquired physical amount of the image of the specific product into information indicating a specific-product sensibility block that is a block corresponding to the image of the specific product among a plurality of blocks in a sensibility space, a block-of-interest selection unit that selects, as a block of interest, a block different from the specific-product sensibility block based on information indicating the specific-product sensibility block, a second conversion unit converts information indicating the block of interest into information indicating a range of a physical amount of an image, and a search unit searches for an image corresponding to the block of interest from the product database based on the information indicating the range of the physical amount.