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- W2078488685 abstract "Recommender systems research is often based on comparisons of predictive accuracy: the better the evaluation scores, the better the recommender. However, it is difficult to compare results from different recommender systems due to the many options in design and implementation of an evaluation strategy. Additionally, algorithmic implementations can diverge from the standard formulation due to manual tuning and modifications that work better in some situations." @default.
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- W2078488685 date "2014-10-06" @default.
- W2078488685 modified "2023-10-13" @default.
- W2078488685 title "Comparative recommender system evaluation" @default.
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- W2078488685 doi "https://doi.org/10.1145/2645710.2645746" @default.
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