Mobile recommendation systems for decision making ´on the go´

This paper discusses the functional and technological opportunities associated with mobile recommendation systems. These are systems that help a mobile user or a group of mobile users with decisions that they encounter ´on the go´. Examples include consumers making purchasing decisions in retail stores, or students having ad hoc meetings to decide on assignment workload. We discuss key findings from behavioural decision theory to provide a set of functional requirements. This is followed by an exploration of technological options to implement mobile recommendation systems. The paper concludes with a discussion on how the user acceptance of these systems can be meaningfully measured and improved.