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Large Language Models as Conversational Movie Recommenders: A User Study
This paper explores the effectiveness of using large language models (LLMs) for personalized movie recommendations from users' perspectives in an online field experiment.
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders
In the past decade, deep learning (DL) models have gained prominence for their exceptional accuracy on benchmark datasets in recommender systems (RecSys).
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