Crowd-Sourced E-Commerce Interface Customization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current e-commerce websites deliver generic user interfaces to all users, leading to cluttered and irrelevant information, which results in a sub-optimal user experience and increased likelihood of users navigating away due to lack of relevant product information.
Innovation Solution
The system determines user communities based on interactions and demographics, tailoring user interfaces to show only relevant display elements by crowdsourcing data from community members, minimizing or maximizing specific product categories and display elements based on community behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If generic user interfaces are delivered to all users, then implementation complexity is reduced, but information relevance deteriorates
Solution Approach 1:
The patent segments users into different communities based on their interactions and demographics, and delivers customized interface configurations to each community. This segmentation allows the system to maintain lower implementation complexity by using community-based grouping while improving information relevance through targeted interface customization.
Solution Approach 2:
The system changes interface parameters (displayed elements, layout, content) based on community characteristics and user behavior patterns. By dynamically adjusting interface parameters for different user communities, the system improves information relevance without requiring complete redesign of the entire interface architecture.
2Loss of information
If customized user interfaces are delivered to each user, then information relevance is improved, but system complexity increases
Solution Approach 1:
The system automatically determines user communities and applies appropriate interface configurations without requiring manual intervention. This self-service approach allows customization at scale while controlling system complexity through automated community detection and interface selection algorithms.
Solution Approach 2:
The patent creates a universal community detection mechanism that serves multiple functions: identifying user groups, determining interface configurations, and personalizing content delivery. This multi-functionality reduces system complexity by consolidating customization logic into a single framework rather than requiring separate systems for each customization aspect.
3Quantity of substance
If comprehensive product information is displayed, then information completeness is improved, but user experience deteriorates due to clutter
Solution Approach 1:
The system extracts and displays only the most relevant product information for each user community, removing unnecessary or less relevant elements. This extraction approach maintains information completeness for the target audience while improving user experience by eliminating clutter and focusing on what matters most to each community.
Solution Approach 2:
The patent applies different information display qualities to different user communities, with each community receiving interface elements and product information tailored to their specific needs and behaviors. This local quality approach ensures information completeness for each group while optimizing user experience through community-specific customization rather than a one-size-fits-all approach.
4Ease of operation
If interface elements are minimized based on community behavior, then ease of operation is improved, but information availability may worsen
Solution Approach 1:
The system dynamically adjusts interface element visibility based on community behavior patterns, minimizing elements that are less relevant to each community while keeping accessible those that are frequently used. This dynamic approach improves ease of operation by reducing clutter while maintaining information availability through intelligent, behavior-based visibility adjustments.
Solution Approach 2:
The patent uses feedback from community member interactions to continuously optimize which interface elements are minimized or displayed. By monitoring user behavior and adjusting interface element visibility accordingly, the system improves ease of operation while ensuring that minimized elements remain accessible when needed, balancing usability with information availability.
Data Source
AI summary
A user is provided a display or user interface that is tailored to the user based on a community the user is a part of. Based on interactions with and/or modifications to the display by other users of the community, the display or user interface is tailored to the user to show a similar display as desired by those in the user's community. This provides a better display or user interface that allows a user to quickly access product information and/or commerce functionalities that they are more likely to use. This display or user interface is displayed as an electronic document, such as a web page, that is viewed by the user in an electronic document viewing program, such as an Internet browser.