Ad Recommendation utilizing user behavior in the physical space to represent their latent interest

Takanobu Omura, Kenta Suzuki, Panote Siriaraya, Mohit Mittal, Yukiko Kawai, Shinsuke Nakajima. Ad Recommendation utilizing user behavior in the physical space to represent their latent interest. In Xintao Wu, Chris Jermaine, Li Xiong 0001, Xiaohua Hu 0001, Olivera Kotevska, Siyuan Lu, Weija Xu, Srinivas Aluru, ChengXiang Zhai, Eyhab Al-Masri, Zhiyuan Chen 0003, Jeff Saltz 0001, editors, IEEE International Conference on Big Data, Big Data 2020, Atlanta, GA, USA, December 10-13, 2020. pages 3143-3146, IEEE, 2020. [doi]

@inproceedings{OmuraSSMKN20,
  title = {Ad Recommendation utilizing user behavior in the physical space to represent their latent interest},
  author = {Takanobu Omura and Kenta Suzuki and Panote Siriaraya and Mohit Mittal and Yukiko Kawai and Shinsuke Nakajima},
  year = {2020},
  doi = {10.1109/BigData50022.2020.9377822},
  url = {https://doi.org/10.1109/BigData50022.2020.9377822},
  researchr = {https://researchr.org/publication/OmuraSSMKN20},
  cites = {0},
  citedby = {0},
  pages = {3143-3146},
  booktitle = {IEEE International Conference on Big Data, Big Data 2020, Atlanta, GA, USA, December 10-13, 2020},
  editor = {Xintao Wu and Chris Jermaine and Li Xiong 0001 and Xiaohua Hu 0001 and Olivera Kotevska and Siyuan Lu and Weija Xu and Srinivas Aluru and ChengXiang Zhai and Eyhab Al-Masri and Zhiyuan Chen 0003 and Jeff Saltz 0001},
  publisher = {IEEE},
  isbn = {978-1-7281-6251-5},
}