Nikolaos Polatidis
Nikolaos Polatidis
Senior Lecturer, University of Brighton
Verified email at Brighton.ac.uk - Homepage
TitleCited byYear
A multi-level collaborative filtering method that improves recommendations
N Polatidis, CK Georgiadis
Expert Systems with Applications 48, 100-110, 2016
622016
Privacy-preserving collaborative recommendations based on random perturbations
N Polatidis, CK Georgiadis, E Pimenidis, H Mouratidis
Expert Systems with Applications 71, 18-25, 2017
222017
A dynamic multi-level collaborative filtering method for improved recommendations
N Polatidis, CK Georgiadis
Computer Standards & Interfaces 51, 14-21, 2017
202017
Cyber-attack path discovery in a dynamic supply chain maritime risk management system
N Polatidis, M Pavlidis, H Mouratidis
Computer Standards & Interfaces 56, 74-82, 2018
172018
Mobile recommender systems: An overview of technologies and challenges
N Polatidis, CK Georgiadis
2013 Second International Conference on Informatics & Applications (ICIA …, 2013
112013
Recommender systems: The Importance of personalization in E-business environments
N Polatidis, CK Georgiadis
International Journal of E-Entrepreneurship and Innovation (IJEEI) 4 (4), 32-46, 2013
92013
A ubiquitous recommender system based on collaborative filtering and social networking data.
N Polatidis, CK Georgiadis
International Journal of Intelligent Engineering Informatics 3 (2/3), 186-204, 2015
82015
Factors influencing the quality of the user experience in ubiquitous recommender systems
N Polatidis, CK Georgiadis
International Conference on Distributed, Ambient, and Pervasive Interactions …, 2014
82014
Recommender systems meeting security: From product recommendation to cyber-attack prediction
N Polatidis, E Pimenidis, M Pavlidis, H Mouratidis
International Conference on Engineering Applications of Neural Networks, 508-519, 2017
72017
Chatbot for admissions
N Polatidis
arXiv preprint arXiv:1408.6762, 2014
62014
From product recommendation to cyber-attack prediction: Generating attack graphs and predicting future attacks
N Polatidis, E Pimenidis, M Pavlidis, S Papastergiou, H Mouratidis
Evolving Systems, 1-12, 2018
52018
Privacy-preserving recommendations in context-aware mobile environments
N Polatidis, CK Georgiadis, E Pimenidis, E Stiakakis
Information and Computer Security 25 (1), 62-79, 2017
52017
Reproducibility of experiments in recommender systems evaluation
N Polatidis, S Kapetanakis, E Pimenidis, K Kosmidis
IFIP International Conference on Artificial Intelligence Applications and …, 2018
42018
A method for privacy-preserving collaborative filtering recommendations
C Georgiadis, N Polatidis, H Mouratidis, E Pimenidis
Journal of Universal Computer Science 23 (2), 146-166, 2017
32017
A method for privacy-preserving context-aware mobile recommendations
N Polatidis, CK Georgiadis, E Pimenidis, E Stiakakis
International Conference on e-Democracy, 62-74, 2015
32015
A hybrid feature combination method that improves recommendations
G Alshammari, S Kapetanakis, A Alshammari, N Polatidis, M Petridis
International Conference on Computational Collective Intelligence, 209-218, 2018
22018
A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations
G Alshammari, S Kapetanakis, N Polatidis, M Petridis
International Conference on Engineering Applications of Neural Networks, 145-157, 2018
22018
Reproduction of experiments in recommender systems evaluation based on explanations
N Polatidis, E Pimenidis
International Conference on Engineering Applications of Neural Networks, 194-200, 2018
22018
An evaluation of keyword, string similarity and very shallow syntactic matching for a university admissions processing infobot.
P Hancox, N Polatidis
Comput. Sci. Inf. Syst. 10 (4), 1703-1726, 2013
22013
A switching approach that improves prediction accuracy for long tail recommendations
G Alshammari, JLJ Aragoneses, S Kapetanakis, N Polatidis, M Petridis
4th Artificial Intelligence and Intelligent Systems Conference: Intellisys, 2019
12019
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Articles 1–20