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Enhancing Chatbot User Satisfaction: A Machine Learning Approach Integrating Decision Tree, TF-IDF, and BERTopic

2024-11-13

Abstract excerpt

Ensuring that large language models (LLMs) generate responses that resonate with users is critical for successful interactions. This study leverages machine learning techniques to improve chatbot interactions by aligning responses more closely with human preferences. By analyzing the Chatbot Arena dialogue dataset, we identified key features influencing user satisfaction and employed an ensemble model combining De...

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Literature Corpus work
e71062ca-9fce-555a-bba1-7159d568fece
DOI
10.20944/preprints202411.0867.v1
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Enhancing Chatbot User Satisfaction: A Machine Learning Approach Integrating Decision Tree, TF-IDF, and BERTopicDOI 10.20944/preprints202411.0867.v1
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