Workshop on engineering human-computer interaction in recommender systems

Recommender systems support users in exploring items that would be interesting for them, building an internal representation of the current user according her explicit feedback on the items. Such preferences express only extreme ratings, and exploiting implicit feedback is still a challenge. Different solutions exist in literature, but a general one is still lacking. Similarly, the user interface engineering community elaborated patterns and metaphors for supporting users in both inspecting and controlling the internal state of intelligent systems in different domains. The aim of this workshop is to solicit the collaboration between recommendation and user interface experts, in order to discuss novel ideas for engineering the interaction with Recommenders Systems. This workshop solicits contributions in all topics related to engineering Human-Computer Interaction in Recommender Systems, for collecting novel ideas in this field and connecting different researchers and practitioners working in this area.