Mouzhi Ge
Mouzhi Ge
Deggendorf Institute of Technology
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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
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
Big Data for Internet of Things: A Survey
M Ge, H Bangui, B Buhnova
Future Generation Computer Systems 87, 601-614, 2018
A review of Information quality research—develop a research agenda
M Ge, M Helfert
MIT Information Quality, 2006
Health-aware food recommender system
M Ge, F Ricci, D Massimo
Proceedings of the 9th ACM Conference on Recommender Systems, 333-334, 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
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
A hybrid machine learning model for intrusion detection in VANET
H Bangui, M Ge, B Buhnova
Computing 104 (3), 503–531, 2022
Impact of information quality on supply chain decisions
M Ge, M Helfert
Journal of Computer Information Systems 53 (4), 59-67, 2013
Information quality assessment and effects on inventory decision-making
M Ge
Dublin City University, 2009
Information quality assessment: validating measurement dimensions and processes
M Ge, M Helfert, D Jannach
Proceedings of 19th European Conference on Information Systems, Helsinki …, 2011
An Efficient Mutual Authentication Scheme for Internet of Things
B Mbarek, M Ge, T Pitner
Internet of Things 9, 100-160, 2020
Data and information quality assessment in information manufacturing systems
M Ge, M Helfert
Business Information Systems: 11th International Conference, BIS 2008 …, 2008
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
Exploring Big Data Clustering Algorithms for Internet of Things Applications.
H Bangui, M Ge, B Buhnova
IoTBDS, 269-276, 2018
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
A hybrid data-driven model for intrusion detection in VANET
H Bangui, M Ge, B Buhnova
Procedia Computer Science 184, 516-523, 2021
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
Interactive Food Recommendation for Groups.
M Elahi, M Ge, F Ricci, D Massimo, S Berkovsky
ACM conference on Recommender systems, 2014
Understanding recommendations by reading the clouds
F Gedikli, M Ge, D Jannach
E-Commerce and Web Technologies: 12th International Conference, EC-Web 2011 …, 2011
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