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José Alemany
Universitat Politècnica de València
Stella Heras
Universitat Politècnica de València
Javier Palanca
Universitat Politècnica de València
Vicente Julián
Universitat Politècnica de València
Vol. 5 No. 2 (2016), Articles, pages 43-51
Accepted: Nov 8, 2016


The automatic recipe recommendation which take into account the dietary restrictions of users (such as allergies or intolerances) is a complex and open problem. Some of the limitations of the problem is the lack of food databases correctly labeled with its potential allergens and non-unification of this information by companies in the food sector. In the absence of an appropriate solution, people affected by food restrictions cannot use recommender systems, because this recommend them inappropriate recipes. In order to resolve this situation, in this article we propose a solution based on a collaborative multi-agent system, using negotiation and machine learning techniques, is able to detect and label potential allergens in recipes. The proposed system is being employed in, a recipe recommendation system which includes persuasive technologies, which are interactive technologies aimed at changing users’ attitudes or behaviors through persuasion and social influence, and social information to improve the recommendations.


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