AZM5

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

Data and Resources

Cite this as

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

DOI retrieved: December 16, 2024

Additional Info

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