| Beyond accuracy: evaluating recommender systems by coverage and serendipity M Ge, C Delgado-Battenfeld, D Jannach Proceedings of the fourth ACM conference on Recommender systems, 257-260, 2010 | 912 | 2010 |
| How should I explain? A comparison of different explanation types for recommender systems F Gedikli, D Jannach, M Ge International Journal of Human-Computer Studies 72 (4), 367-382, 2014 | 425 | 2014 |
| Big Data for Internet of Things: A Survey M Ge, H Bangui, B Buhnova Future Generation Computer Systems 87, 601-614, 2018 | 379 | 2018 |
| A review of Information quality research—develop a research agenda M Ge, M Helfert MIT Information Quality, 2006 | 215 | 2006 |
| Health-aware food recommender system M Ge, F Ricci, D Massimo Proceedings of the 9th ACM Conference on Recommender Systems, 333-334, 2015 | 182 | 2015 |
| Using tags and latent factors in a food recommender system M Ge, M Elahi, I Fernaández-Tobías, F Ricci, D Massimo Proceedings of the 5th international conference on digital health 2015, 105-112, 2015 | 146 | 2015 |
| Recommender systems in computer science and information systems–a landscape of research D Jannach, M Zanker, M Ge, M Gröning E-Commerce and Web Technologies: 13th International Conference, EC-Web 2012 …, 2012 | 143 | 2012 |
| A hybrid machine learning model for intrusion detection in VANET H Bangui, M Ge, B Buhnova Computing 104 (3), 503–531, 2022 | 87 | 2022 |
| Impact of information quality on supply chain decisions M Ge, M Helfert Journal of Computer Information Systems 53 (4), 59-67, 2013 | 56 | 2013 |
| Information quality assessment: validating measurement dimensions and processes M Ge, M Helfert, D Jannach Proceedings of 19th European Conference on Information Systems, Helsinki …, 2011 | 52 | 2011 |
| An Efficient Mutual Authentication Scheme for Internet of Things B Mbarek, M Ge, T Pitner Internet of Things 9, 100-160, 2020 | 51 | 2020 |
| Information quality assessment and effects on inventory decision-making M Ge Dublin City University, 2009 | 51 | 2009 |
| Context dependent preference acquisition with personality-based active learning in mobile recommender systems M Braunhofer, M Elahi, M Ge, F Ricci Learning and Collaboration Technologies. Technology-Rich Environments for …, 2014 | 43 | 2014 |
| Exploring Big Data Clustering Algorithms for Internet of Things Applications. H Bangui, M Ge, B Buhnova IoTBDS, 269-276, 2018 | 42 | 2018 |
| Data and information quality assessment in information manufacturing systems M Ge, M Helfert Business Information Systems: 11th International Conference, BIS 2008 …, 2008 | 42 | 2008 |
| Service Design for Resilience: A Multi-contextual Modeling Perspective M Drăgoicea, L Walletzký, L Carrubbo, NG Badr, AM Toli, F Romanovská, ... IEEE Access 8 (October), 185526-185543, 2020 | 41 | 2020 |
| A hybrid data-driven model for intrusion detection in VANET H Bangui, M Ge, B Buhnova Procedia Computer Science 184, 516-523, 2021 | 40 | 2021 |
| Interaction design in a mobile food recommender system M Elahi, M Ge, F Ricci, I Fernández-Tobías, S Berkovsky, M David Proceedings of the Joint Workshop on Interfaces and Human Decision Making …, 2015 | 39 | 2015 |
| Understanding recommendations by reading the clouds F Gedikli, M Ge, D Jannach E-Commerce and Web Technologies: 12th International Conference, EC-Web 2011 …, 2011 | 37 | 2011 |
| Interactive Food Recommendation for Groups. M Elahi, M Ge, F Ricci, D Massimo, S Berkovsky ACM conference on Recommender systems, 2014 | 33 | 2014 |
Markus HelfertMaynooth UniversityVerified email at mu.ie
