Social Video Curation via User-Selected Categories
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Solution Overview
Problem
Conventional media sharing online resources often provide users with irrelevant or uninteresting video content, as videos are curated and categorized by third parties without consideration for individual user preferences, leading to a diminished experience.
Innovation Solution
A system and method that utilize social metrics to identify and provide video content tailored to users by allowing users to select and categorize videos based on their preferences, with access to videos from connected users in a social networking system, using video categories like news, comedy, sports, travel, and entertainment, and determining access order based on social metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If videos are curated and categorized by third parties, then video organization and accessibility are improved, but video relevance to individual users deteriorates
Solution Approach 1:
The system enables users to actively participate in video curation by selecting and categorizing videos according to their personal preferences. Users can create custom categories and organize videos themselves, transforming the passive third-party curation model into an active user-driven model that better serves individual needs while maintaining systematic organization.
Solution Approach 2:
The patent implements personalized video categories for each user, allowing different users to have customized video organizations based on their individual preferences. Instead of a uniform third-party categorization, each user receives locally tailored categories that improve video relevance to their specific interests while maintaining the overall system structure.
2Quantity of substance
If conventional media sharing resources provide videos, then content availability is improved, but user engagement deteriorates
Solution Approach 1:
The system incorporates user feedback mechanisms where users can select categories, rate videos, and interact with content to signal preferences. This feedback loop enables the system to learn user preferences over time and adjust video recommendations, thereby maintaining high content availability while significantly improving user engagement through personalized experiences.
Solution Approach 2:
The video categorization system transitions from a static third-party imposed structure to a dynamic user-driven model. Categories and video associations evolve based on user selections and preferences, allowing the system to adapt to changing user interests while maintaining comprehensive content availability. This dynamic adjustment boosts engagement by presenting relevant content at the right time.
3Stability of the object's composition
If videos are categorized by third parties, then content organization is improved, but personalization deteriorates
Solution Approach 1:
The patent segments the video categorization function from centralized third-party control to distributed user-level organization. Each user maintains their own category structure and video associations, allowing the overall system to retain a stable organizational framework while enabling highly personalized content arrangements at the individual user level. This segmentation resolves the contradiction between structural stability and personalization adaptability.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can identify a set of video categories. A first video content item can be acquired from a first user. A particular video category selected by the first user as being associated with the first video content item can be acquired from the first user. The particular video category can be selected out of the set of video categories. It can be determined that one or more videos associated with the particular video category are to be provided to a second user. The second user can be connected to the first user in a social networking system. The second user can be provided, via the social networking system, with access to the first video content item associated with the particular video category.