Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions

Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming 0001. Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. In Jennifer Golbeck, F. Maxwell Harper, Vanessa Murdock 0001, Michael D. Ekstrand, Bracha Shapira, Justin Basilico, Keld T. Lundgaard, Even Oldridge, editors, RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022. pages 268-277, ACM, 2022. [doi]

@inproceedings{ChenHNPC022,
  title = {Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions},
  author = {Weixin Chen and Mingkai He and Yongxin Ni and Weike Pan and Li Chen and Zhong Ming 0001},
  year = {2022},
  doi = {10.1145/3523227.3546761},
  url = {https://doi.org/10.1145/3523227.3546761},
  researchr = {https://researchr.org/publication/ChenHNPC022},
  cites = {0},
  citedby = {0},
  pages = {268-277},
  booktitle = {RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022},
  editor = {Jennifer Golbeck and F. Maxwell Harper and Vanessa Murdock 0001 and Michael D. Ekstrand and Bracha Shapira and Justin Basilico and Keld T. Lundgaard and Even Oldridge},
  publisher = {ACM},
  isbn = {978-1-4503-9278-5},
}