Corpus ID: 52122975

Superhighway: Bypass Data Sparsity in Cross-Domain CF

@article{Lai2018SuperhighwayBD,
  title={Superhighway: Bypass Data Sparsity in Cross-Domain CF},
  author={Kwei-Herng Lai and Ting-Hsiang Wang and Heng-Yu Chi and Yian Chen and Ming-Feng Tsai and Chuan-Ju Wang},
  journal={ArXiv},
  year={2018},
  volume={abs/1808.09784}
}
Cross-domain collaborative filtering (CF) aims to alleviate data sparsity in single-domain CF by leveraging knowledge transferred from related domains. Many traditional methods focus on enriching compared neighborhood relations in CF directly to address the sparsity problem. In this paper, we propose superhighway construction, an alternative explicit relation-enrichment procedure, to improve recommendations by enhancing cross-domain connectivity. Specifically, assuming partially overlapped… Expand
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