Social Network Digest Communications for Engagement Optimization
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Solution Overview
Problem
Users of social networking websites often have low engagement levels, leading to diminished communication within their social networks, as they may visit the site intermittently or rarely, which detracts from the overall user experience and the network's potential.
Innovation Solution
The system provides digest communications to users, prioritizing activities from highly related individuals, categorized into types like notifications, friend identifications, and top stories, and sends them at specific frequencies to re-engage users when they are not active, with the option to manage notification settings and cease notifications if engagement levels are high.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digest communications are provided frequently to inactive users, then user engagement is increased, but users may feel overwhelmed by excessive notifications
Solution Approach 1:
The patent applies local quality by customizing notification content and frequency based on individual user characteristics, activity levels, and preferences. Different users receive tailored digest communications with selectively prioritized content rather than uniform notifications, thereby increasing engagement without causing overload.
Solution Approach 2:
The system dynamically adjusts notification frequency and content based on real-time user engagement metrics. When users become more active, notification frequency decreases; when inactive, targeted digests are sent to re-engage them. This dynamic adaptation prevents notification overload while maintaining productivity.
2Loss of information
If comprehensive activity information is provided in notifications, then users are informed about all network activities, but the complexity of notification management increases
Solution Approach 1:
The patent extracts and prioritizes only the most relevant activity information for each user based on their relationships and interests. Instead of providing comprehensive information about all network activities, the system selectively surfaces high-value content, reducing management complexity while preventing information loss for critical activities.
Solution Approach 2:
Notification content is segmented into different categories (e.g., friend activities, group updates, top stories) with varying priority levels. This segmentation allows the system to manage complex information streams by organizing them into manageable, prioritized segments rather than presenting undifferentiated comprehensive data.
3Productivity
If personalized and prioritized content is delivered, then user engagement increases, but the system complexity for determining relatedness and prioritization increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing relationship metrics, activity priorities, and user preferences before notification generation. This advance preparation simplifies the real-time notification delivery process while enabling personalized content delivery, thereby increasing engagement without proportionally increasing operational complexity.
Solution Approach 2:
The patent introduces intermediary components such as activity prioritization modules and relationship analysis systems that mediate between raw network data and user notifications. These intermediaries process and structure information, making the overall system more manageable despite the complexity required for personalization.
4Productivity
If descriptive information about activities is omitted from digest communications, then user curiosity and direct system engagement are encouraged, but users lose contextual understanding of activities
Solution Approach 1:
The patent applies partial action by providing just enough descriptive information to pique user interest without revealing complete context. Digest communications include selective activity mentions with limited details, sufficient to generate curiosity and drive direct system engagement while maintaining essential contextual understanding through prioritized content selection.
Data Source
AI summary
Techniques to increase engagement with a social networking system. In one embodiment, activities are prioritized based on relatedness to a user. References associated with at least a portion of the prioritized activities are created. The references are categorized into a plurality of types. The reference types may include notifications, friend identifications, and top stories. The references are embedded in digest communications for the user. Descriptive information about the activities are omitted from the digest communications. Digest communications for the user are provided during a time period when the user is not engaged with the social networking system. Notifications for a user are ceased when a level of engagement of the user with the social networking system is less than a threshold value.