TETUP: Code for "Towards Explainable Temporal User Profiling with LLMs" (ExUM 2025). This project proposes a content-based recommendation framework that generates short-term and long-term user profiles using LLMs, enabling interpretable and personalized recommendations with temporal awareness.
transformers recommender-system transparency user-modeling temporal-data explainable-ai bert-embeddings explainable-recommendations temporal-modeling large-language-models llms temporal-user-profiling
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Updated
Aug 11, 2025 - Python