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AZM5

Offline evaluations of recommender systems attempt to estimate users’ satisfaction with recommendations using static data from prior user interactions.

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Cite this as

Mucun Tian, Michael D. Ekstrand (2024). Dataset: AZM5. https://doi.org/10.57702/cfssej2r

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.1145/3343413.3378004
Author	Mucun Tian
More Authors	Michael D. Ekstrand
Homepage	https://www.cs.cmu.edu/~ml-100m/