User Engagement Determination via Network Traffic Host Call Sequences
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Solution Overview
Problem
Current methods for determining user engagement with applications rely on self-reported figures, which are susceptible to subjective interpretations and can lead to undercounting or overcounting, lacking accuracy.
Innovation Solution
The proposed solution involves analyzing network traffic data to determine user engagement by identifying host call sequences associated with specific applications, using an augmented dataset generated through a host interchangeability model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If self-reported figures from application developers are used to determine user engagement, then the process is simple and quick, but the accuracy and objectivity of the measurement deteriorates due to subjective interpretations
Solution Approach 1:
The patent introduces network traffic data as an intermediary medium between the application usage and the measurement process. Instead of directly relying on self-reported figures, the system uses network traffic patterns (host calls, data transmission) as an objective mediator that reflects actual application usage without subjective bias, thereby resolving the contradiction between measurement speed and accuracy
Solution Approach 2:
The patent replaces the manual self-reporting mechanism with an automated network traffic analysis system. The mechanical process of developers manually reporting usage figures is substituted with an automated system that objectively measures and analyzes network traffic patterns to determine user engagement, eliminating human subjectivity while maintaining measurement efficiency
2Ease of manufacture
If self-reported data is used, then data collection is easy and requires minimal resources, but the reliability and objectivity of engagement metrics deteriorates
Solution Approach 1:
The system enables network traffic data to serve itself as the source of truth for engagement measurement. Instead of requiring external self-reporting from developers, the network infrastructure automatically generates and provides the necessary usage data through its normal operation, making the data collection process both easy and inherently reliable without requiring additional manual intervention
Solution Approach 2:
Network traffic data acts as an impartial intermediary that objectively records application usage. This mediator provides reliable engagement metrics without being influenced by the interests or perceptions of application developers, thereby resolving the contradiction between ease of data collection and reliability of metrics
Data Source
AI summary
In the various embodiments, systems and methods are disclosed for determining user engagement with an application based on network traffic data corresponding to network traffic on a network. An aspect of the present disclosure is a method comprising obtaining network traffic data for a period of time, the network traffic data including a plurality of host calls; determining a host call sequence from the plurality of host calls, the host call sequence including one or more of the plurality of host calls; identifying an application corresponding to the host call sequence based on an augmented dataset; and determining a number of users of the application for the period of time based on a number of times the host call sequence repeats in the network traffic data.