E-commerce Network Leveraging Social Connections for Trust
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Solution Overview
Problem
Current e-commerce systems lack effective methods to leverage personal and business connections among users for enhanced transaction experiences, product recommendations, and rating systems, which hinders the efficiency and trust in online commerce.
Innovation Solution
A system and method that utilizes personal and business networks to create interconnected communities, allowing users to invite others into their networks, rate transactions, and explore connections for product discovery, facilitated by a computer-readable medium and database of user networks, enabling users to view ratings and performance history within their networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional e-commerce systems are used, then transaction processes are simple and direct, but trust and reliability between users are insufficient
Solution Approach 1:
The patent introduces social network connections and mutual acquaintances as intermediaries between buyers and sellers. Users can view their shared connections on the platform, allowing them to verify seller credibility through mutual contacts. This intermediary layer of social verification enhances trust without requiring complex centralized authentication systems.
Solution Approach 2:
The system implements feedback loops where users rate and review sellers based on transaction experiences. These ratings are visible to other users, creating a reputation system that improves reliability over time. The feedback mechanism allows the community to collectively validate seller trustworthiness.
2Productivity
If product recommendations are provided, then product discovery is improved, but accuracy of recommendations decreases without personal network context
Solution Approach 1:
The patent applies local quality by tailoring product recommendations to each user's specific social context. Instead of generic recommendations, the system analyzes a user's network connections, their purchasing patterns, and mutual acquaintances to provide locally optimized product suggestions that are highly relevant to that specific user's needs and preferences.
3Reliability
If users are allowed to explore connections and ratings, then transaction trust is enhanced, but information processing complexity increases
Solution Approach 1:
The patent segments the information display into modular components: connection indicators, rating summaries, and verified badges are presented as separate, discrete elements. This segmentation allows users to process trust information in manageable chunks rather than overwhelming them with all data simultaneously, reducing cognitive complexity while maintaining comprehensive verification capabilities.
Data Source
AI summary
Electronic commerce over a publicly accessible computer network such as the Internet is facilitated and leveraged by a computer system that forms a community of computer user parties based on personal and business connections of the parties involved. Personal connections are created between users by invitation and mutual acceptance. Business connections are created between users when a transaction takes place between those users. Users search to perform any one or more of a variety of actions such as to purchase products, browse departments and categories for purchasing products, or explore the connections between the parties involved to find items to buy. Different groupings of the parties involved may be the users themselves and other buyers/sellers in the business network, the users themselves and their friends in the personal networks, or some combination of buyers/sellers and friends from each of the types of networks. A computer or server at a site in the network implements an architecture whereby various pages viewed by a user have links to enable them to find products.