2018
DOI: 10.1016/j.procs.2018.08.271
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Evaluating sequence-to-sequence models for simulating medical staff mobility on time

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Cited by 2 publications
(1 citation statement)
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“…• BLEU evaluates the precision of dynamic length recommendations in sequence-to-sequence recommendations [27], which is a frequently-used metric in NLP. • ROUGE refers to the recall of dynamic length recommendations, which is a commonly used metric for sequence-to-sequence recommender systems [21]. • HR@K measures the probability that ground-truth items appear in the top-K recommendations.…”
Section: Prediction Accuracymentioning
confidence: 99%
“…• BLEU evaluates the precision of dynamic length recommendations in sequence-to-sequence recommendations [27], which is a frequently-used metric in NLP. • ROUGE refers to the recall of dynamic length recommendations, which is a commonly used metric for sequence-to-sequence recommender systems [21]. • HR@K measures the probability that ground-truth items appear in the top-K recommendations.…”
Section: Prediction Accuracymentioning
confidence: 99%