Short Bio

I got my Ph.D. degree from the Department of Informatics of Aristotle University of Thessaloniki in 2011. I have worked as a postdoctoral research fellow at ITI-CERTH from June 2011 to December 2013. In 2014, I was awarded an excellence grant for postdoctoral researchers in “Multimedia Big Data and Cloud Computing” from the Aristotle University. Also, in 2015 I was awarded an excellence grant for new researchers from UCY. Then, I became a postdoctoral research fellow at the Computer Science Department of University of Mons in Belgium. Currently, I am an assistant professor at DKE & IDS at Maastricht University. My main research interests are Machine Learning, Information Retrieval, Recommender Systems and Social Media Mining.

Profiles: [Google Scholar] [DBLP] [ResearchGate]

Contact: dimitrios (dot) rafailidis (at) maastrichtuniversity (dot) nl

Selected Publications

  • M. Aliannejadi, D. Rafailidis, F. Crestani, A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation“, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.32, N.6, pp. 1050-1063, 2020. [pdf]
  • D. Rafailidis, “Bayesian Deep Learning with Trust and Distrust in Recommendation Systems”. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI’19), pp. 18-25, Thessaloniki, Greece,  2019. [pdf] Best Paper Award
  • S. Antaris, D. Rafailidis, “In-memory Stream Indexing of Massive and Fast Incoming Multimedia Content“, IEEE Transactions on Big Data (TBD), Vol.4, N.1, pp. 40-54, 2018. [pdf]
  • D. Rafailidis, F. Crestani, “GeoDCF: Deep Collaborative Filtering with Multifaceted Contextual Information in Location-based Social Networks”. Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD’18), pp. 709-724, Dublin, Ireland, 2018. [pdf]
  • D. Rafailidis, F. Crestani, “Friend Recommendation in Location-Based Social Networks via Deep Pairwise Learning”. Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining (ASONAM’18), pp. 421-428, Barcelona, Spain, 2018. [pdf]
  • D. Rafailidis, F. Crestani, “A Regularization Method with Inference of Trust and Distrust in Recommender Systems”. Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD’17), pp. 253-268, Skopje, FYROM, 2017. [pdf]
  • D. Rafailidis, F. Crestani, “Learning to Rank with Trust and Distrust in Recommender Systems”. Proceedings of the 11th ACM Conference on Recommender Systems (RecSys’17), pp. 5-13, Como, Italy, 2017. [pdf]
  • A. Axenopoulos, D. Rafailidis, G. Papadopoulos, E. Houstis, P. Daras, “Similarity Search of Flexible 3D Molecules Combining Local and Global Shape Descriptors“, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Vol.13, N.5, pp. 954-970, 2016. [pdf]
  • D. Rafailidis, A. Nanopoulos, “Modeling Users Preference Dynamics and Side Information in Recommender Systems”, IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMC), Vol.46, N.6, pp. 782-792, 2016. [pdf]
  • D. Rafailidis, F. Crestani, “Joint Collaborative Ranking with Social Relationships in Top-N Recommendation”. Proceedings of the 25th ACM International Conference on International Conference on Information and Knowledge Management (CIKM’16), pp. 1393-1402, Indianapolis, IN, USA, 2016. [pdf]
  • D. Rafailidis, F. Crestani, “Top-N Recommendation via Joint Cross-Domain User Clustering and Similarity Learning”. Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD’16), Part II, pp. 426-441, Riva del Garda, Italy, 2016. [pdf]
  • S. Antaris, D. Rafailidis, “Similarity Search over the Cloud based on Image Descriptors′ Dimensions Value Cardinalities”, ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), Vol.11, N.4, Article Number 51, 2015. [pdf]
  • D. Rafailidis, A. Axenopoulos, J. Etzold, S. Manolopoulou, P. Daras, “Content-based Tag Propagation and Tensor Factorization for Personalized Item Recommendation based on Social Tagging”ACM Transactions on Interactive Intelligent Systems (TiiS), Vol.3, N.4, Article Number 26, 2014. [pdf]
  • E. Tiakas, D. Rafailidis, A. Dimou, P. Daras, “MSIDX: Multi-Sort Indexing for Efficient Content-based Image Search and Retrieval”, IEEE Transactions on Multimedia (TMM), Vol.15, N.6, pp. 1415-1430, 2013. [pdf]
  • D. Rafailidis, P. Daras, “The TFC Model: Tensor Factorization and Tag Clustering for Item Recommendation in Social Tagging Systems”, IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMC), Vol.43, N.3, pp. 673-688, 2013. [pdf]
  • A. Nanopoulos, D. Rafailidis, P. Symeonidis, Y. Manolopoulos, “MusicBox: Personalized Music Recommendation based on Cubic Analysis of Social Tags”, IEEE Transactions on Audio, Speech and Language Processing (TASLP), Vol.18, N.2, pp. 407-412, 2010. [pdf]