Deep Unified Representation for Heterogeneous Recommendation

@article{Lu2022DeepUR,
  title={Deep Unified Representation for Heterogeneous Recommendation},
  author={Chengqiang Lu and Mingyang Yin and Shuheng Shen and Luo Ji and Qi Liu and Hongxia Yang},
  journal={Proceedings of the ACM Web Conference 2022},
  year={2022}
}
Recommendation system has been a widely studied task both in academia and industry. Previous works mainly focus on homogeneous recommendation and little progress has been made for heterogeneous recommender systems. However, heterogeneous recommendations, e.g., recommending different types of items including products, videos, celebrity shopping notes, among many others, are dominant nowadays. State-of-the-art methods are incapable of leveraging attributes from different types of items and thus… 

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