We are pleased to invite you to participate in Special Session on Intelligent Recommended Systems (IRS) at ACIIDS 2013. The main aim of recommendation systems is to deliver customized (personalized) information to a very differentiated users. They may be applied in a great variety of domains, such as: net-news filtering, web recommender, personalized newspaper, sharing news, movie recommender, document recommender, information recommender, e-commerce, purchasing, travel and store recommender, e-mail filtering, music recommender, student courses recommender, user interface recommendation, negotiation systems, etc.. We consider two dimensions of the recommendation systems, user modeling and user model exploitation. The IRS Special Session on ACIIDS 2013 will provide an excellent opportunity for researchers to discuss modern approaches and techniques for Intelligent Recommended Systems and their applications.