ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity

Caixia Jing, Liqing Qiu, Chengai Sun, Qingyu Yang. ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity. Knowl.-Based Syst., 250:109135, 2022. [doi]

@article{JingQSY22,
  title = {ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity},
  author = {Caixia Jing and Liqing Qiu and Chengai Sun and Qingyu Yang},
  year = {2022},
  doi = {10.1016/j.knosys.2022.109135},
  url = {https://doi.org/10.1016/j.knosys.2022.109135},
  researchr = {https://researchr.org/publication/JingQSY22},
  cites = {0},
  citedby = {0},
  journal = {Knowl.-Based Syst.},
  volume = {250},
  pages = {109135},
}