Multi-Facet Recommender Networks with Spherical Optimization

@article{Tan2021MultiFacetRN,
  title={Multi-Facet Recommender Networks with Spherical Optimization},
  author={Yanchao Tan and Carl Yang and Xiangyu Wei and Yun Ma and Xiaolin Zheng},
  journal={2021 IEEE 37th International Conference on Data Engineering (ICDE)},
  year={2021},
  pages={1524-1535}
}
  • Yanchao Tan, Carl Yang, +2 authors X. Zheng
  • Published 27 March 2021
  • Computer Science
  • 2021 IEEE 37th International Conference on Data Engineering (ICDE)
Implicit feedback is widely explored by modern recommender systems. Since the feedback is often sparse and imbalanced, it poses great challenges to the learning of complex interactions among users and items. Metric learning has been proposed to capture user-item interactions from implicit feedback, but existing methods only represent users and items in a single metric space, ignoring the fact that users can have multiple preferences and items can have multiple properties, which leads to… Expand

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