User Confidence Evaluation via Incoming Edge Inversion
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Solution Overview
Problem
Existing methods for determining user confidence in social networks are susceptible to abuse, as confidence is adjusted based on user activities that can be manipulated, leading to a lack of objectivity and high abusing probability.
Innovation Solution
A user confidence building method that adjusts confidence based on incoming edges formed by activities of other users, using a computer apparatus to store and monitor user activities, and propagate adjusted confidence through outgoing edges, distinguishing between positive and negative activities to secure objectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If confidence is adjusted based on user activities that can be manipulated, then the system can track user behavior, but the objectivity of confidence evaluation deteriorates and abusing probability increases
Solution Approach 1:
Instead of adjusting confidence based on outgoing edges (activities initiated by the user), the system adjusts confidence based on incoming edges (activities received from other users). This inversion makes the confidence evaluation objective because users cannot control what activities other users perform toward them, eliminating the manipulation vulnerability while maintaining confidence tracking capability
2Measurement precision
If the system monitors all user activities to adjust confidence, then confidence assessment accuracy improves, but the system complexity increases
Solution Approach 1:
The system extracts only the necessary component for confidence evaluation - the incoming edges from other users - while excluding outgoing edges that users can manipulate. This selective extraction maintains confidence assessment accuracy by focusing on objective data while reducing system complexity by eliminating the need to process and evaluate manipulatable activity data
Data Source
AI summary
Provided is a method and system for building a user confidence. A user confidence building method of a computer apparatus including at least one processor may include storing a confidence assigned to each of users; monitoring an activity of each of the users in a service; adjusting a confidence of a first user based on an incoming edge of the first user that is formed by an activity of a second user for the first user; and propagating the adjusted confidence of the first user based on an outgoing edge of the first user in response to adjusting the confidence of the first user.