Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives

Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki. Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 2069-2077, ACM, 2019. [doi]

@inproceedings{KitadaIS19,
  title = {Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives},
  author = {Shunsuke Kitada and Hitoshi Iyatomi and Yoshifumi Seki},
  year = {2019},
  doi = {10.1145/3292500.3330789},
  url = {https://doi.org/10.1145/3292500.3330789},
  researchr = {https://researchr.org/publication/KitadaIS19},
  cites = {0},
  citedby = {0},
  pages = {2069-2077},
  booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019},
  editor = {Ankur Teredesai and Vipin Kumar and Ying Li and Rómer Rosales and Evimaria Terzi and George Karypis},
  publisher = {ACM},
  isbn = {978-1-4503-6201-6},
}