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REENACT: Learning about Historical Battles and Wars through Augmented Reality and Role Playing - An EXPERIMEDIA Experiment.

, , , , , , and . CSEDU, page 160-165. SciTePress, (2013)

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AVATAR: A Multi-Agent TV Recommender System using MHP Applications., , , , , and . EEE, page 660-665. IEEE Computer Society, (2005)Collaborative T-learning: Bringing Greater Levels of Interactivity into the Home., , , , , , , and . EEE, page 588-591. IEEE Computer Society, (2005)Semantic Query Validation in Guided-Based Systems: Assuring the Construction of Queries that Make Sense., , and . SNPD, page 9-14. IEEE Computer Society, (2010)User-generated contents and reasoning-based personalization: Ingredients for a novel model of mobile TV., , , , and . Expert Syst. Appl., 38 (5): 5289-5298 (2011)Receiver-side semantic reasoning for digital TV personalization in the absence of return channels., , , , , , , and . Multimedia Tools Appl., 41 (3): 407-436 (2009)Automatic provision of personalized e-commerce services in Digital TV scenarios with impermanent connectivity., , , , and . Expert Syst. Appl., 38 (10): 12691-12698 (2011)A semantic approach to improve neighborhood formation in collaborative recommender systems., , , , , and . Expert Syst. Appl., 41 (17): 7776-7788 (2014)Making the most of TV on the move: My newschannel., , , , , and . Inf. Sci., 181 (4): 855-868 (2011)Implicit Trust Networks: A Semantic Approach to Improve Collaborative Recommendations., , and . Recommender Systems for the Social Web, volume 32 of Intelligent Systems Reference Library, Springer, (2012)Supporting Software Variability by Reusing Generic Incomplete Models at the Requirements Specification Stage., , , , , , , and . ICSR, volume 3107 of Lecture Notes in Computer Science, page 1-10. Springer, (2004)