Why or why not? The effect of justification styles on chatbot recommendations

作者: Daricia Wilkinson , Öznur Alkan , Q Vera Liao , Massimiliano Mattetti , Inge Vejsbjerg

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摘要: Chatbots or conversational recommenders have gained increasing popularity as a new paradigm for Recommender Systems (RS). Prior work on RS showed that providing explanations can improve transparency and trust, which are critical for the adoption of RS. Their interactive and engaging nature makes conversational recommenders a natural platform to not only provide recommendations but also justify the recommendations through explanations. The recent surge of interest inexplainable AI enables diverse styles of …

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