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1 Ergebnisse
1
Reproducibility Analysis of Recommender Systems relying on ..:
, In:
Proceedings of the 17th ACM Conference on Recommender Systems
,
Lops, Pasquale
;
Musacchio, Elio
;
Musto, Cataldo
... - p. 554-564 , 2023
Link:
https://dl.acm.org/doi/10.1145/3604915.3609492
RT T1
Proceedings of the 17th ACM Conference on Recommender Systems
: T1
Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures
UL https://suche.suub.uni-bremen.de/peid=acm-3609492&Exemplar=1&LAN=DE A1 Lops, Pasquale A1 Musacchio, Elio A1 Musto, Cataldo A1 Polignano, Marco A1 Silletti, Antonio A1 Semeraro, Giovanni PB ACM YR 2023 K1 Neural Networks K1 Recommendation Frameworks K1 Recommender Systems K1 Reproducibility K1 Reproducibility Analysis K1 Visual Features K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Computing methodologies K1 Machine learning K1 Learning settings K1 Learning from implicit feedback K1 Information systems applications K1 Data mining K1 Collaborative filtering K1 Document representation K1 Content analysis and feature selection SP 554 OP 564 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3604915.3609492 DO https://dl.acm.org/doi/10.1145/3604915.3609492 SF ELIB - SuUB Bremen
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