Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling

@article{Xia2021MultiBehaviorER,
  title={Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling},
  author={Lianghao Xia and Chao Huang and Yong Xu and Peng Dai and Mengyin Lu and Liefeng Bo},
  journal={2021 IEEE 37th International Conference on Data Engineering (ICDE)},
  year={2021},
  pages={1931-1936}
}
Many previous studies aim to augment collaborative filtering with deep neural network techniques, so as to achieve better recommendation performance. However, most existing deep learning-based recommender systems are designed for modeling singular type of user-item interaction behavior, which can hardly distill the heterogeneous relations between user and item. In practical recommendation scenarios, there exist multi-typed user behaviors, such as browse and purchase. Due to the overlook of user… 

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