SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems

Prashanth Thinakaran, Kanak Mahadik, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, Chita R. Das. SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems. In Shusaku Tsumoto, Yukio Ohsawa, Lei Chen 0002, Dirk Van den Poel, Xiaohua Hu 0001, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan 0001, editors, IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. pages 423-430, IEEE, 2022. [doi]

@inproceedings{ThinakaranMGKD22,
  title = {SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems},
  author = {Prashanth Thinakaran and Kanak Mahadik and Jashwant Raj Gunasekaran and Mahmut Taylan Kandemir and Chita R. Das},
  year = {2022},
  doi = {10.1109/BigData55660.2022.10020465},
  url = {https://doi.org/10.1109/BigData55660.2022.10020465},
  researchr = {https://researchr.org/publication/ThinakaranMGKD22},
  cites = {0},
  citedby = {0},
  pages = {423-430},
  booktitle = {IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022},
  editor = {Shusaku Tsumoto and Yukio Ohsawa and Lei Chen 0002 and Dirk Van den Poel and Xiaohua Hu 0001 and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan 0001},
  publisher = {IEEE},
  isbn = {978-1-6654-8045-1},
}