Introduction. Recommender systems are extensively deployed to provide online users with advisory services, and the design of recommender systems' functional features has received substantial research attention. The social aspects of such system interactions, however, have been less explored. Furthermore, measuring user satisfaction, though natural in a business environment, is often challenging for recommender systems research. Method. This study provides the first empirical test of an adaptation of the informatio…