In this talk, we evaluate two recent approaches to information presentation in SDS: (1) the Refiner approach (Polifroni et al., 2003) which generates summaries by clustering the options to maximize coverage of the domain, and (2) the <cite>user-model based summarize and refine (UMSR)</cite> approach (<cite>Demberg and Moore, 2006</cite>) which clusters options to maximize utility with respect to a user model, and uses linguistic devices (e.g., discourse cues, adverbials) to highlight the trade-offs among the presented items.