Publications

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2019
Margaris D, Spiliotopoulos D, Vassilakis C.  2019.  Social Relations versus Near Neighbours: Reliable Recommenders in Limited Information Social Network Collaborative Filtering for Online Advertising. Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019).
2018
Margaris D, Vassilakis C.  2018.  Enhancing Rating Prediction Quality Through Improving the Accuracy of Detection of Shifts in Rating Practices. Lecture Notes in Computer Science. 10940 (LNCS):151–191.
Mathas CM, Segou OE, Xylouris G, Christinakis D, Kourtis M-A, Vassilakis C, Kourtis A.  2018.  Evaluation of Apache Spot\textquotesingles machine learning capabilities in an SDN/NFV enabled environment. Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES 2018.
Margaris D, Vassilakis C.  2018.  Exploiting Rating Abstention Intervals for Addressing Concept Drift in Social Network Recommender Systems. Informatics. 5:21pages.
Margaris D, Vassilakis C.  2018.  Improving Collaborative Filtering's Rating Prediction Accuracy by Considering Users' Rating Variability. 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).
Margaris D, Vassilakis C.  2018.  Improving Collaborative Filtering's Rating Prediction Coverage in Sparse Datasets by Exploiting User Dissimilarity. 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).
2017
Margaris D, Vassilakis C.  2017.  Enhancing User Rating Database Consistency Through Pruning. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIV. LNCS, volume 10620:33–64.
Margaris D, Vassilakis C.  2017.  Exploiting Internet of Things information to enhance venues' recommendation accuracy. Service Oriented Computing and Applications. todb:393–409.
Margaris D, Vassilakis C.  2017.  Improving Collaborative Filtering’s Rating Prediction Quality by Considering Shifts in Rating Practices. Proceedings of the 19th IEEE International Conference on business informatics (CBI17).
Margaris D, Vassilakis C.  2017.  Improving Collaborative Filtering's Rating Prediction Quality in Dense Datasets, by Pruning Old Ratings. Proceedings of the 22nd IEEE Symposium on Computers and Communications (ISCC17).
Margaris D, Vassilakis C, Georgiadis P..  2017.  Knowledge-Based Leisure Time Recommendations in Social Networks. Current Trends on Knowledge-Based Systems. :23–48.
Terrovitis M, Poulis G, Mamoulis N, Skiadopoulos S.  2017.  Local Suppression and Splitting Techniques for Privacy Preserving Publication of Trajectories. IEEE Trans. Knowl. Data Eng.. 29:1466–1479.
Boukoros S, Nugaliyadde A, Marnerides A, Vassilakis C, Koutsakis P, Wong KWai.  2017.  Modeling Server Workloads for Campus Email Traffic Using Recurrent Neural Networks. Proceedings of the 24th International Conference on Neural Information Processing (ICONIP 2017). :57–66.
Theodorakopoulos M, Papageorgopoulos N, Mourti A, Antoniou A, Wallace M, Lepouras G, Vassilakis C, Platis N.  2017.  Personalized Augmented Reality Experiences in Museums using Google Cardboards. 2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP).
Margaris D, Vassilakis C, Georgiadis P..  2017.  Query personalization using social network information and collaborative filtering techniques. Future Generation of Computer Systems. Special Issue on Recommender Systems for Large-Scale Social Networks:440–450.
Margaris D, Vassilakis C.  2017.  Using Time Clusters for Following Users’ Shifts in Rating Practices. Complex Systems Informatics and Modeling Quarterly. 13