Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions

Pan Li. Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions. In Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge, editors, RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021. pages 864-868, ACM, 2021. [doi]

@inproceedings{Li21-99,
  title = {Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions},
  author = {Pan Li},
  year = {2021},
  doi = {10.1145/3460231.3473899},
  url = {https://doi.org/10.1145/3460231.3473899},
  researchr = {https://researchr.org/publication/Li21-99},
  cites = {0},
  citedby = {0},
  pages = {864-868},
  booktitle = {RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021},
  editor = {Humberto Jesús Corona Pampín and Martha A. Larson and Martijn C. Willemsen and Joseph A. Konstan and Julian J. McAuley and Jean Garcia-Gathright and Bouke Huurnink and Even Oldridge},
  publisher = {ACM},
  isbn = {978-1-4503-8458-2},
}