Summary of Ai-based Classification Of Customer Support Tickets: State Of the Art and Implementation with Automl, by Mario Truss et al.
AI-based Classification of Customer Support Tickets: State of the Art and Implementation with AutoML
by Mario Truss, Stephan Boehm
First submitted to arxiv on: 3 Jun 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed machine learning model is designed to automatically classify support tickets, enabling improved customer support performance and reduced resolution time. The study leverages automated machine learning (AutoML) to train a model that achieves good classification performance. Moreover, this research highlights the potential of AutoML in developing AI solutions without requiring specialized AI departments or staff. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper explores how artificial intelligence can help companies improve their customer support by automatically classifying tickets. Researchers used a special kind of machine learning called automated machine learning (AutoML) to train a model that can do this job well. The study shows that AutoML makes it possible for companies without AI experts to create their own AI solutions, making it more accessible and efficient. |
Keywords
» Artificial intelligence » Classification » Machine learning
