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- W2892659617 abstract "Recommender systems research often requires the creation and execution of large numbers of algorithmic experiments to determine the sensitivity of results to the values of various hyperparameters. Existing recommender systems platforms fail to provide a basis for systematic experimentation of this type. In this paper, we describe librec-auto, a wrapper for the well-known LibRec library, which provides an environment that supports automated experimentation." @default.
- W2892659617 created "2018-10-05" @default.
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- W2892659617 date "2018-09-27" @default.
- W2892659617 modified "2023-09-27" @default.
- W2892659617 title "Automating recommender systems experimentation with librec-auto" @default.
- W2892659617 cites W1965355809 @default.
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- W2892659617 doi "https://doi.org/10.1145/3240323.3241614" @default.
- W2892659617 hasPublicationYear "2018" @default.
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