Dynamic Product Category Filtering Interface
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Solution Overview
Problem
Existing online commerce platforms face challenges in effectively providing relevant information to buyers based on their search terms, leading to reduced convenience and purchase rates, especially when product length is a critical selection factor.
Innovation Solution
An electronic apparatus and method that acquires a search term, identifies a product list, and displays categories corresponding to the search term in a second area, with the option to filter the list based on product length, using machine-learning models to adjust information and images dynamically, ensuring user convenience and tailored product recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If product lists are displayed without category filtering, then all products are visible to users, but users cannot efficiently find products matching their specific needs (e.g., product length)
Solution Approach 1:
The patent segments the product list by introducing category filters (e.g., short, medium, long length categories) that divide the comprehensive product list into manageable subsets. This allows users to efficiently locate products matching their needs while the system maintains visibility of all products through the filtering mechanism.
Solution Approach 2:
The patent implements dynamic filtering where category selections are updated in real-time based on user interactions. The product list dynamically reorganizes itself according to selected categories, providing both comprehensive visibility and targeted filtering efficiency.
2Ease of operation
If category filtering is implemented, then users can efficiently search for specific products, but the interface becomes more complex
Solution Approach 1:
The patent adds a dimensional layer to the interface by introducing a separate category display area (second area) distinct from the product list area (first area). This spatial separation organizes complexity into manageable dimensions, allowing filtering functionality without overwhelming the main product display.
Solution Approach 2:
The patent introduces category icons as intermediary elements that mediate between the user and the detailed product list. These icons provide a simplified interface for category selection, reducing the perceived complexity while maintaining comprehensive filtering capability.
3Ease of manufacture
If seller-provided product information is used, then information entry is simple for sellers, but information accuracy may be compromised
Solution Approach 1:
The patent implements a feedback mechanism where machine learning models analyze seller-provided information and provide corrections or validations. The system compares seller inputs against learned patterns and provides feedback to improve accuracy while maintaining ease of entry, particularly for product length categorization.
Solution Approach 2:
The patent enables the system to automatically categorize and validate product information using machine learning models. The system serves itself by autonomously verifying and correcting seller-provided data, reducing reliance on manual verification while maintaining accuracy.
Data Source
AI summary
An information providing method of an electronic apparatus is disclosed. The information providing method may include acquiring a search term from a user, identifying a product list corresponding to the search term, identifying one or more categories corresponding to the search term to filter the product list, and displaying the product list in a first area and displaying the one or more categories in a second area distinguished from the first area.