Visual Clothing Preference Capture for Accurate Style Recommendations
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Solution Overview
Problem
Traditional recommendation systems for personal shoppers in non-traditional apparel buying businesses rely on limited and inaccurate customer surveys and feedback, which fail to capture detailed and real-time preferences, leading to inadequate clothing selections.
Innovation Solution
A system that uses visual image presentation for customers to rate their preferences, combining direct client data with stream data analysis to refine recommendations, allowing for more accurate and detailed preference determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional text-based surveys and feedback are used to capture customer preferences, then the system is simple to implement, but the preference information is limited and inaccurate
Solution Approach 1:
The patent replaces text-based survey systems with visual image rating systems. Instead of customers filling out text surveys describing their preferences, the system presents visual images of clothing items and collects rating data. This substitution of the information collection mechanism from text-based to visual-based provides more accurate and intuitive preference data while maintaining system simplicity.
Solution Approach 2:
The patent introduces visual images as an intermediary between the customer and the preference data collection process. Rather than directly asking customers to describe their preferences in text, the system uses visual presentations of clothing items that customers can intuitively rate. This intermediary visual layer captures preference information more accurately by leveraging visual processing capabilities.
2Quantity of substance
If customer feedback is collected over long periods in subscription services, then more data is gathered, but the feedback process is time-consuming and preferences may change
Solution Approach 1:
The patent performs preliminary preference assessment by presenting visual images and collecting ratings early in the customer interaction process, before the customer commits to a long-term subscription. This preliminary visual rating process quickly establishes baseline preference data without requiring extended feedback collection periods, allowing the system to make accurate recommendations from the outset.
Solution Approach 2:
The patent skips the traditional lengthy feedback collection process by using visual image ratings that can be quickly processed. Instead of requiring customers to provide extensive text feedback over months or years, the system rushes through preference capture by presenting curated visual selections that elicit rapid, intuitive ratings, thereby obtaining sufficient preference data in minimal time.
3Measurement precision
If visual image presentation is used for preference rating, then preference accuracy improves, but the system complexity increases
Solution Approach 1:
The patent uses visual images (copies or representations of clothing items) instead of physical garments for preference assessment. Customers rate visual representations of clothing items rather than handling actual clothes. This copying approach maintains the simplicity of a digital system while enabling accurate visual preference capture, as the images faithfully represent the items' appearance, color, and style characteristics.
Data Source
AI summary
The present invention is a system and method that improves a recommendation system's ability to determine a client's preference in clothing. The system not only receives direct client information though surveys, questionnaires, and client feedback, it also receives input based on a client's visual preferences. Through use of the stream, the client is shown pictures of articles of clothing and rates the articles. Based on the ratings, the system determines a client's visual preference and makes a final recommendation based on the client's visual preferences, which tend to be more accurate and complete than preferences achieved through textual responses.