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Open AccessEditorial

Editorial for the Special Issue on “Modern Recommender Systems: Approaches, Challenges and Applications”

1
Department of Informatics and Telecommunications, University of the Peloponnese, 22100 Tripolis, Greece
2
Department of Informatics and Telecommunications, University of Athens, 15772 Athens, Greece
*
Author to whom correspondence should be addressed.
Information 2019, 10(7), 230; https://doi.org/10.3390/info10070230
Received: 2 July 2019 / Accepted: 2 July 2019 / Published: 4 July 2019
(This article belongs to the Special Issue Modern Recommender Systems: Approaches, Challenges and Applications)
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Recommender systems are nowadays an indispensable part of most personalized systems implementing information access and content delivery, supporting a great variety of user activities [...] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Vassilakis, C.; Margaris, D. Editorial for the Special Issue on “Modern Recommender Systems: Approaches, Challenges and Applications”. Information 2019, 10, 230.

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