Traditionally, an end-user has played only a pas- sive role when viewing commercial media: he/she is ex- pected to consume content, not interact with it. In this paper we explore advanced user interaction techniques in the home environment. One example of such ad- vanced interaction is the creation of micro-personalized recommendations: messages that can be used as a basis for social sharing of third-party content. We describe a system for the distributed creation of micro-personal recommendations in a consumer electronics setting and show initial user testing results.