In the context of service-oriented computing, the issue of service selection is an important one: how can a consumer find and choose a single, appropriate service of the required type, given the mass of services potentially available on a network? By using a service discovery mechanism (the focus of current service selection research), a consumer is able to obtain an unordered list of services which match explicitly specified requirements, from which he must select the service he considers most appropriate. However, formulating the original service request and selecting a service from the returned list are both challenging tasks, particularly for a consumer in unknown circumstances, with unknown services available. This research is thus concerned with the investigation, development and evaluation of a general design for a system that can provide a personalised service recommendation of appropriate services to a requesting consumer. The personalised service recommendation is generated through the assessment of past service selections/usage. A design-adhering prototype has been demonstrated to generate effective personalised service recommendations in a real-world scenario.