Social Network Listing Automation via Sell Code Extraction
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Solution Overview
Problem
Social network platforms limit user interactions to within their own domain, preventing users from easily listing or buying physical items across different websites, and enforcing strict guidelines that restrict the use of posts for cross-platform actions.
Innovation Solution
A social network initiated listing system that identifies and extracts sell codes from user posts, automatically generates listings on separate listing websites, and publishes links back to the social network, allowing users to seamlessly list and buy items across different platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users post on social network websites, then users can communicate and share posts, but users cannot list or buy physical items on separate listing websites
Solution Approach 1:
The patent introduces an intermediary system that acts as a bridge between social network websites and separate listing websites. This intermediary receives posts from social networks, extracts item information, and automatically creates listings on external marketplaces, enabling cross-platform functionality without direct integration between the social network and listing sites.
Solution Approach 2:
The system segments the functionality by separating the social networking aspect from the listing aspect. The social network post serves as the trigger, while the actual listing creation occurs as a separate, automated process on the listing website, allowing each platform to maintain its independence while achieving integrated functionality.
2Reliability
If social network websites enforce strict guidelines on posts, then platform stability is maintained, but users cannot use posts to control actions on other websites
Solution Approach 1:
The intermediary system parses and interprets post content to identify listing intents, extracting relevant information such as item names, prices, and descriptions. This mediation allows the system to comply with social network guidelines by not directly executing actions on external sites, while still enabling cross-platform listing functionality through automated information extraction and transmission.
3Manufacturing precision
If manual listing creation is required on separate websites, then listing accuracy is maintained, but user effort and time increase
Solution Approach 1:
The system enables self-service by automatically extracting item information from social network posts and generating listings on external websites without requiring user intervention. The automated parsing and creation process maintains listing accuracy while eliminating manual effort, as the system serves itself by transforming post content into structured listings.
Solution Approach 2:
The system performs preliminary actions by pre-extracting and structuring item information from posts before actual listing creation. This preliminary processing ensures that when listings are created on external websites, the information is already organized and ready, maintaining accuracy while reducing the operational steps required.
Data Source
AI summary
Social network initiated listings can be implemented by using keyword extraction of a social network post containing a sell code. The extracted keywords can be categorized using a machine based categorization system. The listing user account of the post creator can be identified using active session analysis. A listing is created using the listing user account. A new post that contains a URL to the listing is then programmatically published on the social network.