Preference dynamics with multimodal user-item interactions in social media recommendation D Rafailidis, P Kefalas, Y Manolopoulos Expert Systems with Applications 74, 11-18, 2017 | 66 | 2017 |
A time-aware spatio-textual recommender system P Kefalas, Y Manolopoulos Expert Systems with Applications 78, 396-406, 2017 | 57 | 2017 |
A graph-based taxonomy of recommendation algorithms and systems in LBSNs P Kefalas, P Symeonidis, Y Manolopoulos IEEE Transactions on Knowledge and Data Engineering 28 (3), 604-622, 2015 | 49 | 2015 |
Recommendations based on a heterogeneous spatio-temporal social network P Kefalas, P Symeonidis, Y Manolopoulos World Wide Web 21 (2), 345-371, 2018 | 31 | 2018 |
Deep learning in citation recommendation models survey Z Ali, P Kefalas, K Muhammad, B Ali, M Imran Expert Systems with Applications 162, 113790, 2020 | 30 | 2020 |
Recommendation of points-of-interest using graph embeddings G Christoforidis, P Kefalas, A Papadopoulos, Y Manolopoulos 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 27 | 2018 |
New perspectives for recommendations in location-based social networks: Time, privacy and explainability P Kefalas, P Symeonidis, Y Manolopoulos Proceedings of the Fifth International Conference on Management of Emergent …, 2013 | 20 | 2013 |
A graph-based taxonomy of citation recommendation models Z Ali, G Qi, P Kefalas, WA Abro, B Ali Artificial Intelligence Review 53 (7), 5217-5260, 2020 | 18 | 2020 |
A tool for access to relational databases in natural language N Papadakis, P Kefalas, M Stilianakakis Expert Systems with Applications 38 (6), 7894-7900, 2011 | 18 | 2011 |
RELINE: point-of-interest recommendations using multiple network embeddings G Christoforidis, P Kefalas, AN Papadopoulos, Y Manolopoulos Knowledge and Information Systems 63 (4), 791-817, 2021 | 16 | 2021 |
Global citation recommendation employing generative adversarial network Z Ali, G Qi, K Muhammad, P Kefalas, S Khusro Expert Systems with Applications 180, 114888, 2021 | 12 | 2021 |
Recommending points of interest in LBSNs using deep learning techniques G Christoforidis, P Kefalas, AN Papadopoulos, Y Manolopoulos 2019 IEEE International Symposium on INnovations in Intelligent SysTems and …, 2019 | 6 | 2019 |
Recommending friends and locations over a Heterogeneous Spatio-Temporal graph P Kefalas, P Symeonidis Model and Data Engineering, 271-284, 2015 | 4 | 2015 |
Software defect prediction employing BiLSTM and BERT-based semantic feature MN Uddin, B Li, Z Ali, P Kefalas, I Khan, I Zada Soft Computing, 1-15, 2022 | 2 | 2022 |
Advances in Algorithms for Time-dependent Recommender Systems P Kefalas, Y Manolopoulos 2014 9th International Workshop on Semantic and Social Media Adaptation and …, 2014 | 2 | 2014 |
Access to relational databases in natural language N Papadakis, P Kefalas, A Apostolakis IADIS International Conference Applied Computing, 2010 | 2 | 2010 |
On the current state of deep learning for news recommendation N Amir, F Jabeen, Z Ali, I Ullah, AU Jan, P Kefalas Artificial Intelligence Review, 1-44, 2022 | 1 | 2022 |
Digging into digital archives: the evolution of the digital economy in the UK E Tranos, P Kefalas Conference Paper, 2018 | 1 | 2018 |
A Distributed System for Discovery Knowledge Over Peer-To-Peer Network N Papadakis, P Kefalas, A Delidakis 13th IASTED International Conference on Artificial Intelligence and Soft …, 2009 | 1 | 2009 |
SPR-SMN: scientific paper recommendation employing SPECTER with memory network Z Ali, G Qi, P Kefalas, S Khusro, I Khan, K Muhammad Scientometrics, 1-23, 2022 | | 2022 |