UOP staff
ΜΑΡΓΑΡΗΣ ΔΙΟΝΥΣΙΟΣ
ΑΝΑΠΛΗΡΩΤΗΣ ΚΑΘΗΓΗΤΗΣ
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
ΤΜΗΜΑ ΨΗΦΙΑΚΩΝ ΣΥΣΤΗΜΑΤΩΝ - ΣΠΑΡΤΗ
Ε-mail: margaris (at) uop (dot) gr
Τηλέφωνο: 27310-82-240
Γραφείο: Κτήριο Βαλιώτη, 1ος όροφος, Γραφείο Α8
Ώρες Γραφείου: Τετάρτη 10:00-12:00 - (Συνιστάται πρότερη επικοινωνία με τον διδάσκοντα)
Website: https://users.uop.gr/~margaris/
Σύντομο Βιογραφικό ΣημείωμαΟ Διονύσης Μάργαρης υπηρετεί ως Αναπληρωτής Καθηγητής στο Τμήμα Ψηφιακών Συστημάτων της Σχολής Οικονομίας και Τεχνολογίας. Κατέχει Πτυχίο, Μεταπτυχιακό Δίπλωμα και Διδακτορικό Δίπλωμα από το τμήμα Πληροφορικής & Τηλεπικοινωνιών του ΕΚΠΑ. Τα επιστημονικά του ενδιαφέροντα περιλαμβάνουν τα Πληροφοριακά Συστήματα, την Εξατομίκευση, τα Συστήματα Συστάσεων και τις Επιχειρησιακές Διαδικασίες, περιοχές στις οποίες έχει περισσότερες από 80 ερευνητικές δημοσιεύσεις.
Short CVDionisis Margaris received the BSc, MSc, and PhD degrees from the Department of Informatics and Telecommunications, University of Athens, Greece. He is currently an Assistant Professor in Personalization Software with the Department of Digital Systems, University of Peloponnese, Greece. He has published more than 70 articles in international journals, conferences and books, while his research interests include Information Systems, Personalization, Recommender Systems and Business Processes.
Γνωστικό Αντικείμενο: Πληροφοριακά Συστήματα Συστάσεων και Επιχειρησιακών Διαδικασιών [ ΦΕΚ 3617/Γ΄/30-09-2025 ]
Επιστημονικά Ενδιαφέροντα: Πληροφοριακά Συστήματα, Εξατομίκευση, Συστήματα Συστάσεων, Επιχειρησιακές Διαδικασίες,
Science Interest: Information Systems, Personalization, Recommender Systems, Business Processes
Επιλεγμένες Δημοσιεύσεις:
  1. Improving Collaborative Filtering's Rating Prediction Accuracy by Introducing the Experiencing Period Criterion, D. Margaris, D. Spiliotopoulos, C. Vassilakis, D. Vasilopoulos, Special Issue on "Information, Intelligence, Systems and applications", Neural Computing and Applications, Springer-Verlag London, 35(1), pp. 193-210.
  2. What makes a review a reliable rating in recommender systems?, D. Margaris, C. Vassilakis, D. Spiliotopoulos,Information Processing and Management, ELSEVIER, Volume 57, Issue 6, Article 102304.
  3. An Adaptive Social Network-Aware Collaborative Filtering Algorithm for Improved Rating Prediction Accuracy, D. Margaris, A. Kobusinska, D. Spiliotopoulos, C. Vassilakis,Access, IEEE, Volume 8, Issue 1, pp. 68301-68310.
  4. 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, Volume 9, Issue 1, 2019, 64, SPRINGER-VERLAG.
  5. Query personalization using social networks information and collaborative filtering techniques, D. Margaris, C. Vassilakis, P. Georgiadis, SI: Recommender Systems for Large-Scale Social Networks, Future Generation Computer Systems, Volume 78, Part 1, pp. 440-450, ELSEVIER.
Selected publications: