Social Network Intermediary for E-commerce Product Information
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Solution Overview
Problem
Existing e-commerce systems lack integration of social network data to provide users with comprehensive and relevant product-related information, such as user reviews and catalogs, which can enhance purchasing decisions.
Innovation Solution
The system utilizes a user's social network to provide product-related information on e-commerce websites by integrating user reviews, comments, and catalogs created by others within the social network, allowing users to access and share socially relevant content, and enabling features like product polls and user-generated content submission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If e-commerce systems integrate social network data to provide personalized product information, then user engagement and purchasing decisions are improved, but system complexity increases
Solution Approach 1:
The patent introduces a social network as an intermediary component that connects users with product information. The system queries social network data (friends, followers, interactions) to retrieve socially relevant product information without requiring complex direct integration between all system components. This intermediary approach simplifies the overall architecture while enabling personalized recommendations.
2Loss of information
If the system provides comprehensive product information from multiple sources, then information completeness is improved, but information processing complexity increases
Solution Approach 1:
The patent segments product information into different categories: traditional e-commerce product details and socially relevant product information. The system separately queries and processes information from social networks (user profiles, interactions, recommendations) versus standard product databases. This segmentation allows comprehensive information gathering while maintaining manageable processing complexity through modular information retrieval and presentation.
Data Source
AI summary
Social product related content, such as user reviews, comments, and catalogs, are presented to a user via an e-commerce website by assembling, in response to the user requesting accesses to a webpage of the e-commerce website having information for a product, such as a product detail page, a set of documents that have been cross-referenced to the product and by extracting from the set of documents a subset of documents that have been cross-referenced to individuals within a related persons map of the user. The requested webpage is then presented to the user in a manner that additionally provides the user with access to the subset of documents.