In a previous work we introduced a classification of types of intelligence in smart physical objects, discussing how they can be taken into account when designing an object. In a later one we focused on a specific task - interactive adaptive support and recommendation to people - and we analyzed in detail the design of smart objects performing this task. The result of this analysis is a conceptual model which is specifically suited to design smart objects performing adaptive recommendation. The modelwe proposed is centered around the idea that intelligence is multi-faceted and involves different aspects, ranging from interaction abilities to the ability of managing knowledge and of reasoning and learning from experience. In this paper we aim at adapting this latter model to a End-User Development (EUD) context in order to be able to provide adaptive recommendation to the End-User.
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