Social Network User Engagement via Activity Scoring Prompts
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Solution Overview
Problem
Users of social networking services who are less active may become discouraged and abandon the platform due to lack of interaction, leading to a decline in engagement and retention.
Innovation Solution
A method that determines user activity scores based on various interaction metrics, prompting more active users to interact with less active ones by displaying their content and encouraging tasks to enhance engagement, such as completing profiles or using service features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system displays content from less active users to encourage interaction, then user engagement is improved, but system complexity increases due to the need for activity scoring and prompt management mechanisms
Solution Approach 1:
The system pre-calculates and stores user activity scores based on historical interaction data before prompts are needed. This preliminary computation of engagement metrics allows the system to quickly identify less active users and generate targeted prompts without complex real-time calculations, thus improving engagement while managing system complexity
Solution Approach 2:
The patent introduces an intermediary prompt message that mediates between the system and users. This prompt acts as a bridge to encourage interaction from less active users to more active users, facilitating engagement without requiring direct system intervention in every interaction, thereby simplifying the overall system architecture
2Reliability
If the system monitors and scores user activity to identify less active users, then user retention is improved, but information processing requirements increase due to continuous data collection and analysis
Solution Approach 1:
The system extracts only the essential activity metrics needed for retention analysis, such as login frequency and interaction counts, rather than processing all user data. By selectively extracting key information, the system improves retention through targeted monitoring while minimizing the information processing load
Solution Approach 2:
Users implicitly provide activity data through their normal platform usage without requiring explicit data submission. The system passively collects and processes this self-generated information to calculate activity scores and identify retention risks, improving reliability while reducing the active information processing burden
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, including actions of, for each user of a plurality of users of a social networking service, determining a user activity score, the user activity score being based on activity of each user within the social networking service, determining that a first user activity score of a first user is greater than or equal to a first threshold user activity score and that a second user activity score of a second user is less than a second threshold user activity score, and, in response to the first user activity score being greater than or equal to the first threshold user activity score and the second user activity score being less than the second threshold user activity score, transmitting instructions to display a prompt to the first user to encourage the first user to interact with the second user.