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問題 9 / 65
For a new recommendation algorithm whose offline evaluation metrics have improved, which method is most appropriate for deciding whether to deploy it to production?
①Decide to deploy based solely on offline loss and accuracy.
②Decide based only on developers' intuition and reviews.
③Apply the results of academic papers directly to production.
④Decide whether to implement it based solely on local simulations.
⑤Conduct online A/B tests on real users and evaluate them using business metrics.