Social Mention Aggregation for Content Discovery
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Solution Overview
Problem
Social networking platforms do not effectively aggregate and display user interests and recommendations for content items in a user-friendly and integrated manner, limiting the ability for users to discover and engage with content based on peer opinions.
Innovation Solution
A system that retrieves mentions (likes, recommendations, etc.) from social networking services, aggregates them, and displays them in various formats, such as next to content labels in an electronic programming guide or based on popularity/user names, allowing users to view and interact with content recommendations seamlessly across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user interests and recommendations are aggregated from social networking services, then content discovery capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary aggregation system that sits between social networking services and content delivery platforms. This mediator retrieves mentions from multiple social networks, aggregates them centrally, and delivers consolidated results to users, thereby enabling content discovery without requiring direct integration complexity at each endpoint.
Solution Approach 2:
The system segments the content discovery function into separate modular components: a mention retrieval module that interfaces with social networks, an aggregation module that processes and consolidates data, and a delivery module that presents results. This segmentation allows each component to be developed and maintained independently, reducing overall system complexity.
2Loss of information
If mentions are retrieved and aggregated from multiple social networking services, then information completeness is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-fetching and caching mention data from social networking services before it is immediately needed. By proactively retrieving and storing mention information in advance, the system reduces the time required for data processing when users request content recommendations, while still maintaining information completeness from multiple sources.
Data Source
AI summary
Embodiments generally relate to aggregating mentions. In one embodiment, a method includes retrieving a plurality of mentions from a social networking service, where each mention is associated with one or more users of the social networking service. The method also includes aggregating the mentions, and displaying the mentions based on one or more formats.