Biases in Decision Making

Decisions are typically taken on the basis of heuristics that are a door opener for different types of decision biases. Such biases can be interpreted as a tendency to decide in certain simplified ways which can often lead to suboptimal decision outcomes. Recommender systems support users in different types of decision making tasks and thus should be aware of such biases. In this paper we provide a short overview of different types of decision biases and their impacts on recommender systems. We also discuss some issues for future work.

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