Holistic Summarization of Recommender Systems Results

Item-centric summaries of recommender systems results fail to provide an overall perspective on consumer satisfaction because they focus on features and aspects of suggestions. However, the appreciation of items is not only a matter of liking their properties. The whole process of their fruition, which might involve interacting with services and other actors, should be taken into account to enhance user awareness and decision-making. To address this issue, we present a visual summarization model that supports a holistic overview of search results by exploiting an explicit representation of the service underlying item fruition as a basis to measure multiple user experience evaluation dimensions. We instantiated our model on the home-booking domain. A preliminary user study has shown its usefulness as an information filtering tool to screen recommendation lists down to a small set of promising options.