Publications

2020
[TKDE]: 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, Vol.32, N.6, pp. 1050-1063, 2020. [pdf]
[ASONAM’20]: S. Antaris, D. Rafailidis, “Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation”. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 60-64, The Hague, Netherlands, 2020. [pdf]
[ASONAM’20]: S. Antaris, D. Rafailidis, “VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions”. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 486-493, The Hague, Netherlands, 2020. [pdf]
[BigData’20]: S. Antaris, D. Rafailidis, S. Girdzijauskas: “EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events”. Proceedings of the IEEE International Conference on Big Data, pp. 1455-1464, Atlanta, GA, USA, 2020. [pdf]


2019
[WI’19]: D. Rafailidis, “Bayesian Deep Learning with Trust and Distrust in Recommendation Systems”. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 18-25, Thessaloniki, Greece, 2019, Best Paper Award. [pdf]
[ICTIR’19]: D. Rafailidis, F. Crestani, “Neural Attentive Cross-Domain Recommendation”. Proceedings of the5th ACM International Conference on the Theory of Information Retrieval, pp. 165-172, Santa Clara, CA, USA,  2019. [pdf]
[ECIR’19]: J. Manotumruksa, D. Rafailidis, C. Macdonald, I. Ounis, “On Cross-Domain Transfer in Venue Recommendation”. Proceedings of the 41st European Conference on Information Retrieval Research, pp. 443-456, Cologne, Germany, 2019. [pdf]
[WIMS’19]: D. Rafailidis, Y. Manolopoulos, “Can Virtual Assistants Produce Recommendations?”. Proceedings of the 9th ACM International Conference on Web Intelligence, Mining and Semantics, pp. 4:1-4:6, Seoul, Korea, 2019. [pdf]
[SIGIR’19]: D. Rafailidis, F. Crestani, “Adversarial Training for Review-Based Recommendations”. Proceedings of the 42nd ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1057-1060, Paris, France, 2019. [pdf]


2018
[TBD]: S. Antaris, D. Rafailidis, “In-memory Stream Indexing of Massive and Fast Incoming Multimedia Content“, IEEE Transactions on Big Data, Vol.4, N.1, pp. 40-54, 2018. [pdf]
[ESWA]: D. Rafailidis, “A Multi-Latent Transition model for evolving preferences in recommender systems“, Expert Systems with Applications, Elsevier, Vol. 104, pp. 97-106, 2018. [pdf]
[ECML/PKDD’18]: 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, pp. 709-724, Dublin, Ireland, 2018. [pdf]
[ASONAM’18]: D. Rafailidis, F. Crestani, “Friend Recommendation in Location-Based Social Networks via Deep Pairwise Learning”. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 421-428, Barcelona, Spain, 2018. [pdf]
[ICTIR’18]: M. Aliannejadi, D. Rafailidis, F. Crestani, “A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion”. Proceedings of the4th ACM International Conference on the Theory of Information Retrieval, pp. 19-26, Tianjin, China, 2018. [pdf]


2017
[ESWA]: D. Rafailidis, P. Kefalas, Y. Manolopoulos, “Preference Dynamics with Multimodal User-Item Interactions in Social Media Recommendation“, Expert Systems with Applications, Elsevier, Vol. 74, pp. 11-18, 2017. [pdf]
[FGCS]: D. Rafailidis, E. Constantinou, Y. Manolopoulos, “Landmark Selection for Spectral Clustering based on Weighted PageRank“, Future Generation Computer Systems, Elsevier, Vol. 68, pp. 465-472, 2017. [pdf]
[CIKM’17]: D. Rafailidis, F. Crestani, “A Collaborative Ranking Model for Cross-Domain Recommendations”. Proceedings of the 26th ACM International Conference on International Conference on Information and Knowledge Management, pp. 2263-2266, Singapore, 2017. [pdf]
[ECML/PKDD’17]: 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, pp. 253-268, Skopje, FYROM, 2017. [pdf]
[RecSys’17]: D. Rafailidis, F. Crestani, “Learning to Rank with Trust and Distrust in Recommender Systems”. Proceedings of the 11th ACM Conference on Recommender Systems, pp. 5 -13, Como, Italy, 2017. [pdf]
[ICTIR’17]: D. Rafailidis, F. Crestani, “Recommendation with Social Relationships via Deep Learning”. Proceedings of the 3rd ACM International Conference on the Theory of Information Retrieval, pp. 151-158, Amsterdam, Holland, 2017. [pdf]
[TPDL’17]: D. Rafailidis, F. Crestani, “Multiple Random Walks for Personalized Ranking with Trust and Distrust Relationships”. Proceedings of the 21st International Conference on Theory and Practice of Digital Libraries, pp. 473 – 484, Thessaloniki, Greece, 2017. [pdf]
[ECIR’17]: M. Aliannejadi, D. Rafailidis, F. Crestani, “Personalized Keyword Boosting for Venue Suggestion based on Multiple LBSNs”. Proceedings of the 39th European Conference on Information Retrieval Research, pp. 291-303, Aberdeen, Scotland UK, 2017. [pdf]


2016
[TCBB]: 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, Vol.13, N.5, pp. 954-970, 2016. [pdf]
[SPL]: D. Rafailidis, “Supervised Hashing based on the Dimensions’ Value Cardinalities of Image Descriptors”, IEEE Signal Processing Letters, Vol.23, N.10, pp. 1479-1483, 2016. [pdf].
[TSMC]: D. Rafailidis, A. Nanopoulos, “Modeling Users Preference Dynamics and Side Information in Recommender Systems”, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol.46, N.6, pp. 782-792, 2016. [pdf]
[CIKM’16]: 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, pp. 1393-1402, Indianapolis, IN, USA, 2016. [pdf]
[ASONAM’16]: D. Rafailidis, F. Crestani, “Network Completion via Joint Node Clustering and Similarity Learning”. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 63-68, San Francisco, CA, USA, 2016. [pdf]
[ECML/PKDD’16]: 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, Part II, pp. 426-441, Riva del Garda, Italy, 2016. [pdf]
[SIGIR’16]: D. Rafailidis, F. Crestani, “Cluster-based Joint Matrix Factorization Hashing for Cross-Modal Retrieval”. Proceedings of the 39th ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 781-784, Pisa, Italy, 2016. [pdf]
[SIGIR’16]: D. Rafailidis, F. Crestani, “Collaborative Ranking with Social Relationships for Top-N Recommendations”. Proceedings of the 39th ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 785-788, Pisa, Italy, 2016. [pdf]
[SAC’16]: D. Rafailidis, “Clustering Nodes with Attributes via Graph Alignment”. Proceedings of the 31st ACM Symposium on Applied Computing, pp. 904-907, Pisa, Italy, 2016. [pdf]
[SAC’16]: D. Rafailidis, “Modeling Trust and Distrust Information in Recommender Systems via Joint Matrix Factorization with Signed Graphs”. Proceedings of the 31st ACM Symposium on Applied Computing, pp. 1060-1065, Pisa, Italy, 2016. [pdf]


2015
[IJMIR]: T. Semertzidis, D. Rafailidis, M. G. Strintzis, P. Daras, “The Influence of Image Descriptors′ Dimensions Value Cardinalities on Large-Scale Similarity Search”, International Journal of Multimedia Information Retrieval, Springer, Vol.4, N.3, pp. 187-204, 2015. [pdf]
[IPM]: T. Semertzidis, D. Rafailidis, M. G. Strintzis, P. Daras, “Large-Scale Spectral Clustering based on Pairwise Constraints”, Information Processing & Management,  Elsevier, Vol.51, N.5, pp. 616-624, 2015. [pdf]
[TOMCCAP]: S. Antaris, D. Rafailidis, “Similarity Search over the Cloud based on Image Descriptors′ Dimensions Value Cardinalities”, ACM Transactions on Multimedia Computing, Communications and Applications, Vol.11, N.4, Article Number 51, 2015. [pdf]
[BigData’15]: D. Rafailidis, S. Antaris, “Indexing Media Storms on Flink”. Proceedings of the IEEE International Conference on Big Data, pp. 2836-2838, Santa Clara, CA, USA, 2015. [pdf]
[MEDI’15]: E. Tiakas, D. Rafailidis, “Scalable Trajectory Similarity Search based on Locations in Spatial Networks”. Proceedings of the 5th International Conference on Model & Data Engineering, pp. 213-224, Island of Rhodes, Greece, 2015. [pdf]
[DEXA’15]: A. Papadopoulos, D. Rafailidis, G. Pallis, M.D. Dikaiakos, “Clustering Attributed Multi-graphs with Information Ranking”. Proceedings of the 26th International Conference on Database and Expert Systems Applications, pp. 432-446, Valencia, Spain, 2015. [pdf]
[ICMR’15]: D. Rafailidis, “Probabilistic Matrix Factorization with Semantic and Visual Neighborhoods for Image Tag Completion”. Proceedings of the 5th ACM International Conference on Multimedia Retrieval, pp. 527-530, Shanghai, China, 2015. [pdf]
[WWW’15]: D. Rafailidis, A. Nanopoulos, “Repeat Consumption Recommendation based on Users Preference Dynamics and Side Information”. Proceedings of the 24th ACM International Conference on World Wide Web, Companion Volume, pp. 99-100, Florence, Italy, 2015. [pdf]
[WWW’15]: D. Rafailidis, A. Nanopoulos, “Crossing the Boundaries of Communities via Limited Link Injection for Information Diffusion in Social Networks”. Proceedings of the 24th ACM International Conference on World Wide Web, Companion Volume, pp. 97-98, Florence, Italy, 2015. [pdf]
[SAC’15]: D. Rafailidis, Y. Manolopoulos, “Parallel Similarity Search based on the Dimensions Value Cardinalities of Image Descriptor Vectors”. Proceedings of the 30th ACM Symposium on Applied Computing, pp. 1023-1030, Salamanca, Spain, 2015. [pdf]


2014
[SNAM]: S. Antaris, D. Rafailidis, A. Nanopoulos, “Link Injection for Boosting Information Spread in Social Networks”, Social Network Analysis and Mining, Springer, Vol.4, N.1, Article Number 236, 2014. [pdf]
[JSS]: D. Rafailidis, A. Nanopoulos, E. Constantinou, “With a Little Help from New Friends: Boosting Information Cascades in Social Networks based on Link Injection”, Journal of Systems and Software, Elsevier, Vol.98, pp. 1-8, 2014. [pdf]
[TiiS]: 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, Vol.3, N.4, Article Number 26, 2014. [pdf]
[RecSys’14]: D. Rafailidis, A. Nanopoulos, “Modeling the Dynamics of User Preferences in Coupled Tensor Factorization”. Proceedings of the 8th ACM Conference on Recommender Systems, pp. 321-324, Silicon Valley, CA, USA, 2014. [pdf]
[MEDI’14]: D. Rafailidis, E. Constantinou, Y. Manolopoulos, “Scalable Spectral Clustering with Weighted PageRank”. Proceedings of the 4th International Conference on Model & Data Engineering, pp. 289-300, Larnaca, Cyprus, 2014. [pdf]


2013
[PR]: D. Rafailidis, S. Manolopoulou, P. Daras, “A Unified Framework for Multimodal Retrieval”, Pattern Recognition, Elsevier, Vol.46, N.12, pp. 3358-3370, 2013. [pdf]
[TMM]: E. Tiakas, D. Rafailidis, A. Dimou, P. Daras, “MSIDX: Multi-Sort Indexing for Efficient Content-based Image Search and Retrieval”, IEEE Transactions on Multimedia, Vol.15, N.6, pp. 1415-1430, 2013. [pdf]
[TSMC]: 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, Vol.43, N.3, pp. 673-688, 2013. [pdf]
[SPIC]: M. Lazaridis, A. Axenopoulos, D. Rafailidis, P. Daras, “Multimedia Search and Retrieval using Multimodal Annotation Propagation and Indexing Techniques”, Signal Processing: Image Communication, Special Issue on Image Search and Augmented Reality, Elsevier, Vol.28, N.4, pp. 351-367, 2013. [pdf]
[MediaEval’13]: D. Rafailidis, T. Semertzidis, M. Lazaridis, M. G. Strintzis, P. Daras, “A Data-Driven Approach for Social Event Detection”. Proceedings of MediaEval’13, CEUR-WS.org/-Vol.1043, Barcelona, Spain, 2013. [pdf]
[WI’13]: A. Nanopoulos, D. Rafailidis, Y. Karydis, “Matrix Factorization with Content Relationships for Media Personalization”. Proceedings of the 11th Conference on Wirtschaftsinformatik, pp. 87-101, Leipzig, Germany, 2013. [pdf]
[SMR]: T. Semertzidis, D. Rafailidis, E. Tiakas, M. G. Strintzis, P. Daras, “Multimedia Indexing, Search and Retrieval in Large Databases of Social Networks”, in N. Ramzan et al. (eds) Social Media Retrieval, Computer Communications and Networks series, Springer-Verlag, pp. 43-63, 2013, ISBN 978-1-4471-4554-7. [pdf]


2011
[MTAP]: D. Rafailidis, A. Nanopoulos, Y. Manolopoulos, “Nonlinear Dimensionality Reduction for Efficient and Effective Audio Similarity Searching”, Multimedia Tools and Applications, Springer, Vol.51, N.3, pp. 881-895, 2011. [pdf]


2010
[TASLP]: 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, Vol.18, N.2, pp. 407-412, 2010. [pdf]
[IJMDEM]: D. Rafailidis, A. Nanopoulos, Y. Manolopoulos, “Building Tag-Aware groups for Music High- Order Ranking and Topic Discovery”, International Journal of Multimedia Data Engineering and Management, IGI-Global, Vol. 1, N. 3, pp. 1-18, 2010. [pdf]


2009
[IPM]: A. Nanopoulos, D. Rafailidis, M. Ruxanda, Y. Manolopoulos, “Music Search Engines: Specifications and Challenges”, Information Processing & Management, Elsevier, Vol.45, N.3, pp. 392-396, 2009. [pdf]


2008
[ISMIR’08]: D. Rafailidis, A. Nanopoulos, E. Cambouropoulos, Y. Manolopoulos, “Detection of Stream Segments in Symbolic Musical Data”. Proceedings of the 9th International Symposium on Music Information Retrieval, pp. 83-88, Philadelphia, PA, USA, 2008. [pdf]