Query personalization using social network information and collaborative filtering techniques D Margaris, C Vassilakis, P Georgiadis Future Generation Computer Systems 78, 440-450, 2018 | 64 | 2018 |
A fine-grained social network recommender system M Aivazoglou, AO Roussos, D Margaris, C Vassilakis, S Ioannidis, ... Social Network Analysis and Mining 10, 1-18, 2020 | 59 | 2020 |
Recommendation information diffusion in social networks considering user influence and semantics D Margaris, C Vassilakis, P Georgiadis Social Network Analysis and Mining 6, 1-22, 2016 | 48 | 2016 |
Data-assisted persona construction using social media data D Spiliotopoulos, D Margaris, C Vassilakis Big Data and Cognitive Computing 4 (3), 21, 2020 | 47 | 2020 |
What makes a review a reliable rating in recommender systems? D Margaris, C Vassilakis, D Spiliotopoulos Information Processing & Management 57 (6), 102304, 2020 | 46 | 2020 |
Exploiting Internet of Things information to enhance venues’ recommendation accuracy D Margaris, C Vassilakis Service Oriented Computing and Applications 11, 393-409, 2017 | 36 | 2017 |
An adaptive social network-aware collaborative filtering algorithm for improved rating prediction accuracy D Margaris, A Kobusińska, D Spiliotopoulos, C Vassilakis IEEE Access 8, 68301-68310, 2020 | 33 | 2020 |
A collaborative filtering algorithm with clustering for personalized web service selection in business processes D Margaris, P Georgiadis, C Vassilakis 2015 IEEE 9th International Conference on Research Challenges in Information …, 2015 | 32 | 2015 |
Knowledge-based leisure time recommendations in social networks D Margaris, C Vassilakis, P Georgiadis Current Trends on Knowledge-Based Systems, 23-48, 2017 | 30 | 2017 |
Exploiting rating abstention intervals for addressing concept drift in social network recommender systems D Margaris, C Vassilakis Informatics 5 (2), 21, 2018 | 29 | 2018 |
Handling uncertainty in social media textual information for improving venue recommendation formulation quality in social networks D Margaris, C Vassilakis, D Spiliotopoulos Social Network Analysis and Mining 9 (1), 64, 2019 | 26 | 2019 |
Improving collaborative filtering's rating prediction quality by considering shifts in rating practices D Margaris, C Vassilakis 2017 IEEE 19th Conference on Business Informatics (CBI) 1, 158-166, 2017 | 24 | 2017 |
Enhancing user rating database consistency through pruning D Margaris, C Vassilakis Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXIV …, 2017 | 24 | 2017 |
Social relations versus near neighbours: reliable recommenders in limited information social network collaborative filtering for online advertising D Margaris, D Spiliotopoulos, C Vassilakis Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 23 | 2019 |
An integrated framework for adapting WS-BPEL scenario execution using QoS and collaborative filtering techniques D Margaris, C Vassilakis, P Georgiadis Science of Computer Programming 98, 707-734, 2015 | 23 | 2015 |
Pruning and Aging for User Histories in Collaborative Filtering D Margaris, C Vassilakis 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 22 | 2016 |
Adapting WS-BPEL scenario execution using collaborative filtering techniques D Margaris, P Georgiadis, C Vassilakis IEEE 7th International Conference on Research Challenges in Information …, 2013 | 21 | 2013 |
An integrated framework for QoS-based adaptation and exception resolution in WS-BPEL scenarios M Dionisis, V Costas, G Panagiotis Proceedings of the 28th Annual ACM Symposium on Applied Computing, 1900-1906, 2013 | 21 | 2013 |
Improving Collaborative Filtering's Rating Prediction Accuracy by Considering Users' Rating Variability D Margaris, C Vassilakis 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th …, 2018 | 20 | 2018 |
Improving collaborative filtering's rating prediction quality in dense datasets, by pruning old ratings D Margaris, C Vassilakis 2017 IEEE symposium on computers and communications (ISCC), 1168-1174, 2017 | 20 | 2017 |