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Research Data Reusability with Content-Based Recommender System
Yazdi, Mohammad Amin (Corresponding author)RWTH* ; Politze, MariusRWTH* ; Heinrichs, Benedikt Paul AntonRWTH*
In
Deep Learning Theory and Applications : 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023, Proceedings / edited by Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone, Seiten/Artikel-Nr: 143-156
2023
Konferenz/Event:4. International Conference on Deep Learning Theory and Applications
, Rome , Italy , DeLTA 2023 , 2023-07-13 - 2023-07-14
ImpressumCham : Springer Nature Switzerland
Umfang143-156
ISBN978-3-031-39058-6, 978-3-031-39059-3, 978-3-031-39060-9
ReiheCommunications in Computer and Information Science ; 1875
Online
DOI: 10.1007/978-3-031-39059-3_10
10.1007/978-3-031-39059-3_10
URL: https://publications.rwth-aachen.de/record/962552/files/962552.pdf
Einrichtungen
- IT Center (022000)
Projekte
- DFG project 442146713 - NFDI4Ing – Nationale Forschungsdateninfrastruktur für die Ingenieurwissenschaften (442146713) (442146713)
- NFDI4Ing Task Area BASE SERVICES - Task Area BASE SERVICES (442146713-BASE) (442146713-BASE)
- NFDI4Ing BASE SERVICES S-5 - BASE SERVICES Measure S-5 - overall NFDI software architecture - data security and sovereignty (442146713-BASE-S5) (442146713-BASE-S5)
Thematische Einordnung (Klassifikation)
DDC: 004
Restricted:
PDF
Dokumenttyp
Contribution to a book/Contribution to a conference proceedings
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85172732758
WOS Core Collection: WOS:001330614900010
Interne Identnummern
RWTH-2023-07460
Datensatz-ID: 962552
Beteiligte Länder
Germany
