Patent ID: 11902114
Assignee: nan
Field: Digital communication (Electrical engineering)
Classification: CPC G  H | IPC H

Claim 13:
14. A system for predicting and reducing subscriber churn on a computer network, the system comprising:
at least one processor connected to at least one memory storing instructions executable by the at least one processor to implement a plurality of modules comprising:
a data collection module configured to:
retrieve traffic flow data per subscriber for a plurality of subscribers in the computer network; and
determine at least one systemic feature associated with the plurality of subscribers, wherein the at least one systemic feature is based on an access network used by the computer network;

a feature extraction module configured to determine at least one metric per subscriber from the traffic flow data and determine whether the at least one subscriber metric includes data points to be condensed;
a machine learning module configured to:
analyze the at least one subscriber metric and the at least one systemic feature for the predetermined time period and determine a relationship between the at least one subscriber metric, the subscriber quality of experience and the at least one systemic feature;
create a model for predicting and reducing subscriber churn based on the analysis; and
predict per subscriber, whether the subscriber is going to churn within a churn period in the future based on the analysis;

an evaluation module configured to validate the prediction by determining whether the subscriber actually churned during the churn period; and
a reporting module configured to perform a traffic action based on the prediction.