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Analyzation of recourse and availability for recommender systems under the definition of predictive multiplicity, discrepancy, and ambiguity

Jupyter Notebook 95.55% Python 3.98% Perl 0.36% Shell 0.10%

collaborative-filtering-under-model-uncertainty's Introduction

Collaborative Filtering under Model Uncertainty

Robin M. Schmidt, Moritz Hahn

Paper: please see here

Abstract: In their work, Dean, Rich, and Recht create a model to research recourse and availability of items in a recommender system. We used the definition of predictive multiplicity by Marx, Pin Calmon, and Ustun to examine different variations of this model, using different values for two model parameters. Pairwise comparison of their models show, that most of these models produce very similar results in terms of discrepancy and ambiguity for the availability and only in some cases the availability sets differ significantly.

Evaluation

For a full evaluation with all our plots and explanations, please look at the paper.

Citation

If you use our results, please consider citing:

@misc{schmidt2020collaborative,
    title={Collaborative Filtering under Model Uncertainty},
    author={Robin M. Schmidt and Moritz Hahn},
    year={2020},
    eprint={2008.10117},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

collaborative-filtering-under-model-uncertainty's People

Contributors

sirrob1997 avatar zweidrittelstein avatar

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