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In human-computer interaction, explanations in recommender systems refers to explanations that tell users why an item was recommended, serving aims such as transparency, trust, persuasion and helping users decide. This meaning comes from Tintarev (2007) in 2007 IEEE 23rd International Conference on Data Engineering Workshop.[1]
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