maj34/2020-DACON-Inconvenience-Analysis-Competition

[ 공모전 ] LG 시스템 품질 변화로 인한 사용자 불편 예지 AI 경진대회

21
/ 100
Experimental

This project helps predict when system quality changes might lead to user dissatisfaction. It takes system performance data and records of past user complaints as input, then outputs the probability of a user experiencing inconvenience. It's designed for operations managers, product managers, or customer service analysts who need to anticipate and proactively address potential user issues with digital services or equipment.

No commits in the last 6 months.

Use this if you manage services or products and want to predict future user complaints based on system operational data.

Not ideal if you are looking for a system to directly resolve user complaints or analyze qualitative feedback.

customer-experience operations-management predictive-maintenance service-quality user-satisfaction
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 8 / 25

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License

Last pushed

Jan 19, 2023

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