Social Network Structured Sub-Nodes for Interest Aggregation
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Solution Overview
Problem
Social networking systems lack tools to effectively and efficiently enable users to provide and share structured information about concepts, such as restaurants, music, and movies, leading to difficulties in identifying and recommending shared interests in real-time.
Innovation Solution
The system allows users to generate and share structured information using sub-nodes associated with nodes like pages or entities, enabling location-aware recommendations and aggregation of user interactions, allowing users to associate and confirm sub-nodes, and providing users with highly recommended content based on connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If users provide unstructured information about concepts on external domains, then information gathering is simple, but information aggregation and sharing efficiency is poor
Solution Approach 1:
The patent segments information about concepts into structured fields (e.g., menu items for restaurants, songs for musicians) represented as sub-nodes. This segmentation allows the system to efficiently aggregate and process specific types of information while maintaining ease of user input through standardized forms.
Solution Approach 2:
The patent introduces a structured information framework as an intermediary between user input and system aggregation. This framework uses standardized node types and sub-nodes to transform unstructured user-provided information into a format that enables efficient aggregation and sharing across the social networking system.
2Reliability
If social networking systems record user interests data, then user experience personalization is improved, but real-time shared interest identification capability is lacking
Solution Approach 1:
The patent adds a dimensional structure to stored interest data by organizing it into nodes, sub-nodes, and associations. This dimensional organization transforms flat stored data into a structured framework that enables efficient real-time querying and identification of shared interests while maintaining personalization capabilities.
Solution Approach 2:
The patent implements feedback mechanisms where user interactions with structured concept information are aggregated and used to generate recommendations. This feedback loop enables real-time identification of shared interests by analyzing patterns in structured data from multiple users while maintaining personalized experiences.
3Adaptability or versatility
If users search for concepts on external systems, then information accessibility is maintained, but information sharing and recommendation effectiveness is poor
Solution Approach 1:
The patent merges external concept information with internal social networking data by creating structured nodes that represent concepts (e.g., restaurants, musicians) and associating them with user interactions. This merging preserves accessibility to external information while capturing shared interest patterns that can be effectively shared and recommended within the social networking system.
Data Source
AI summary
Structured information about nodes may be generated and shared using sub-nodes. A node in a social networking system may be associated with sub-nodes that are definable by the node owner, such as menu items for a restaurant or songs in playlists for an artist. Users of the system may interact with the sub-nodes, and the interactions may be presented back on the page to a user, aggregated according to the user's connections in the social networking system (e.g., which songs your friends listened to the most by the artist, which menu items were consumed the most). Users may associate other sub-nodes to the node, such as identifying other menu items served by a restaurant, and the node owner may confirm these associations. Location awareness functionalities may be used to inform a user of highly recommended sub-nodes nearby as indicated by other users of the social networking system.