Automated Group Recommendation for Social Sharing
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Solution Overview
Problem
Existing systems for sharing content on social networks and video servers require manual selection of recipients, which is time-consuming and prone to inaccuracies, and lack mechanisms for dynamic or viral sharing of content, limiting user engagement and interaction.
Innovation Solution
A system that automatically recommends and creates groups based on user information, such as profile data, viewing history, and social network data, allowing users to interact with and share content with recommended groups through a single input, using processors to generate and display pictorial representations of users in the recommended groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of recipients is used for sharing content, then user control and precision in recipient selection is improved, but time consumption and operational complexity increases
Solution Approach 1:
The system performs automatic group creation and recipient selection without requiring manual user input. The system analyzes user data, viewing history, and social connections to autonomously identify and create appropriate recipient groups, eliminating the time-consuming manual selection process while maintaining accurate recipient identification
Solution Approach 2:
The system pre-creates potential recipient groups based on user data before the sharing action is needed. By analyzing user profiles, viewing patterns, and social connections in advance, the system prepares suggested groups that can be quickly selected or automatically applied, reducing the time required at the moment of content sharing
2Measurement precision
If manual group definition is required, then group composition accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically analyzes user data, viewing history, and social connections to identify and create appropriate recipient groups without requiring manual user input. This self-service approach maintains accurate group composition based on actual user behavior patterns while eliminating the manual effort of sifting through user profiles and contact information
Solution Approach 2:
The system pre-processes user data to identify potential group members and creates suggested groups before the sharing action. By performing this analysis in advance, the system prepares accurate group compositions that reflect actual user relationships and content preferences, making the subsequent sharing operation simple and intuitive
3Ease of operation
If automatic group creation is implemented, then ease of operation and user engagement are improved, but existing mechanisms are limited and difficult for user interaction
Solution Approach 1:
The system provides dynamic group recommendations that adapt based on user behavior, content type, and social context. Users can interact with suggested groups by selecting, modifying, or rejecting them, allowing flexible adaptation of the automatic creation process to user preferences while maintaining ease of operation
Solution Approach 2:
The system incorporates user feedback from interactions with suggested groups to improve future recommendations. By analyzing user selections, modifications, and rejections of automatic group suggestions, the system learns and adapts to user preferences, enhancing both ease of operation and interaction flexibility over time
4Productivity
If single-click group creation is enabled, then productivity and user engagement are improved, but loss of user control increases
Solution Approach 1:
The system pre-creates and presents suggested groups for user review before finalizing the sharing action. This preliminary presentation allows users to see and evaluate the automatically created groups, maintaining control over the sharing decision while enabling rapid selection or modification of pre-prepared options
Solution Approach 2:
The system incorporates user feedback loops where users can review, approve, modify, or reject suggested groups before content is shared. This feedback mechanism ensures user control is maintained throughout the process while still benefiting from the efficiency of automatic group creation, as users can make quick decisions based on pre-analyzed suggestions
Data Source
AI summary
A system for automatically generating group recommendation comprises a processor and a memory storing instructions that, when executed, cause the system to receive information about a first user; construct a recommended group of other users using the information about the first user; provide the recommended group of other users as suggestion to the first user; and responsive to input from the first user, create a new group in a service, and performing an action on the new group in the service. The disclosure also includes similar methods and computer program products for the automatic generation and suggestion of groups.