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In this paper we propose an enhanced tagging framework, called iTAG or impressionist tagging, that allows users to communicate impressions on resources in a social network and recommendation context, enriching tags with structure and expressivity without sacrificing immediacy. iTAGs give users the possibility to articulate their impressions, addressing tags to different parts of the same resource and weighting them by relevance; moreover they allow for use of colors for expressing mood. We also introduce a semantic interpretation of iTAGs and a set of rules to compute a synthesis of several iTAGs on the same resource, in order to express the collective opinion of users. The goal is to provide the users with a visual representation that offers both an overall at-a-glance impression, and a possibility to discover different points of view on the same resource. Rather than averaging the opposite opinions, or choosing …