Electronic agents have the capacity to help consumers discover new products and generate demand for unfamiliar products. This article explores how consumers respond to recommendations of unfamiliar products made by electronic agents. Two studies using simulated music shopping agents show that (1) additional recommendations of familiar products serve as a context in which unfamiliar recommendations are evaluated; (2) when the presentation of the recommendations makes unfamiliar and familiar products appear similar, evaluative assimilation results; and (3) when additional information about unfamiliar products is given, consumers discriminate them from the familiar products, which produces evaluative contrast. These results establish that information that leads to higher evaluations when context is absent can lead to contrast and lower evaluations in the presence of attractive contextual recommendations.