Corpus ID: 235795003

SVP-CF: Selection via Proxy for Collaborative Filtering Data

@article{Sachdeva2021SVPCFSV,
  title={SVP-CF: Selection via Proxy for Collaborative Filtering Data},
  author={Noveen Sachdeva and Carole-Jean Wu and Julian McAuley},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.04984}
}
We study the practical consequences of dataset sampling strategies on the performance of recommendation algorithms. Recommender systems are generally trained and evaluated on samples of larger datasets. Samples are often taken in a naı̈ve or ad-hoc fashion: e.g. by sampling a dataset randomly or by selecting users or items with many interactions. As we demonstrate, commonly-used data sampling schemes can have significant consequences on algorithm performance—masking performance deficiencies in… Expand
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