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Content-Based Recommender Systems Taxonomy Cover

Content-Based Recommender Systems Taxonomy

Foundations of Computing and Decision Sciences
Volume 48 (2023): Issue 2 (June 2023)
By: Harris Papadakis,  Antonis Papagrigoriou,  Eleftherios Kosmas,  Costas Panagiotakis,  Smaragda Markaki and  Paraskevi Fragopoulou  
Open Access
|Jun 2023

Authors

Harris Papadakis

adanar@hmu.gr

Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece

Antonis Papagrigoriou

apapa@hmu.gr

Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece

Eleftherios Kosmas

ekkosmas@hmu.gr

Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece

Costas Panagiotakis

cpanag@hmu.gr

Department of Management Science and Technology, Hellenic Mediterranean University, Agios Nikolaos, Greece

Smaragda Markaki

smarkaki@hmu.gr

Department of Management Science and Technology, Hellenic Mediterranean University, Agios Nikolaos, Greece

Paraskevi Fragopoulou

fragopou@ics.forth.gr

Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece
DOI: https://doi.org/10.2478/fcds-2023-0009 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 211 - 241
Submitted on: Jul 13, 2022
Accepted on: Oct 12, 2022
Published on: Jun 30, 2023
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
content-based systems,
recommendation systems,
survey,
taxonomy
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2023 Harris Papadakis, Antonis Papagrigoriou, Eleftherios Kosmas, Costas Panagiotakis, Smaragda Markaki, Paraskevi Fragopoulou, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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