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This paper investigates the potential of recommendation agents for electronic shopping to influence human decision making by shaping user preferences. Specifically, we examine how the type of information that is elicited by a shopping agent for use in its recommendation algorithm may affect consumers' preference for product features and ultimately their product choice in an electronic marketplace. A recommendation agent is defined as a software tool that (a) calibrates a model of a user'sdoi:10.1145/501158.501176 dblp:conf/sigecom/HaublM01 fatcat:vljnflsys5g5jllig7j35vovp4