Toon De Pessemier
Toon De Pessemier studied at Ghent University where he received the MSc degree in computer science engineering in 2006. That same year, he joined the WiCa research group of Ghent University (now known as WAVES). From 2007 to 2011, he was a Ph.D. student of the Research Foundation—Flanders (FWO).
In 2013, he obtained a PhD on his research topic “improved online services by personalized recommendations and optimal quality of experience parameters”. In 2015, he obtained a BOF scholarship at Ghent University. The title of his research work is “Design and validation of innovative techniques to assist people in the decision making process by analyzing data of user behavior and contextual features”. His current research interests include recommender systems and personalization in general with specific focuses on context-aware, real-time, and group recommendations as well as the combination of human intelligence and recommendation algorithms. Last years, he applied the knowledge of machine learning to the domain of industry 4.0, more specifically for scheduling and machine failure prediction.
Keywords: Personalization, recommender systems, machine learning, Industry 4.0, scheduling
T. De Pessemier, T. Deryckere, K. Vanhecke, and L. Martens, Proposed Architecture and Algorithm for Personalized Advertising on iDTV and Mobile Devices. Published in IEEE Transactions on Consumer Electronics, 54(2):709-713, May 2008.
T. De Pessemier, S. Dooms, and L. Martens, Comparison of group recommendation algorithms. Published in Springer Multimedia Tools and Applications, 72(3):2497-2541, October 2014.
T. De Pessemier, S. Dooms, and L. Martens, Context-aware recommendations through context and activity recognition in a mobile environment. Published in Springer Multimedia Tools and Applications, 72(3):2925-2948, October 2014.
T. De Pessemier, C. Courtois, K. Vanhecke, K. Van Damme, L. Martens, and L. De Marez, A User-Centric Evaluation of Context-aware Recommendations for a Mobile News Service. Published in Springer Multimedia Tools and Applications, 75(6): 3323-3351, March 2016.
X. Gong, M. Van der Wee, T. De Pessemier, S. Verbrugge, D. Colle, L. Martens, W. Joseph, Integrating labor awareness to energy-efficient production scheduling under real-time electricity pricing: an empirical study. Published in Elsevier Journal of Cleaner Production, 168(1):239-253, December 2017.