Abstract
Proactive Advisory Systems (PASs) are an extension of Recommender Systems (RSs) that push suggestions and advice even if not explicitly requested, while adapting such advice to the specific contextual situation of the user. They support the user in decision-making processes more complex than those considered by traditional RSs. In this paper, we illustrate the first results of the LiloPAS research project, targeted to the design, development, and evaluation of PASs for healthcare. We present Smart Allergy Taming, a prototype mobile PAS for allergic patients, and give the results of its evaluation.