Personalized E-Learning Course Recommendations: A Chatbot Approach Using LangChain
Published in 2024 International Conference on Digital Contents, 2024
This paper presents a personalized e-learning chatbot system that recommends courses based on user interests using LangChain and Retrieval-Augmented Generation (RAG). The chatbot integrates private course datasets and delivers recommendations through a Streamlit interface.
| Paper on EDAS | Conference proceedings |
Recommended citation: M. Sao and H.-J. Lim, "Personalized E-Learning Course Recommendations: A Chatbot Approach Using LangChain," in 2024 International Conference on Digital Contents (DigiCon-24), Dec. 2024.
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