Zhaobin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty. Getting too personal(ized): The importance of feature choice in online adaptive algorithms. In Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, Violetta Cavalli-Sforza, editors, Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020. International Educational Data Mining Society, 2020. [doi]
@inproceedings{LiYSSWR20,
title = {Getting too personal(ized): The importance of feature choice in online adaptive algorithms},
author = {Zhaobin Li and Luna Yee and Nathaniel Sauerberg and Irene Sakson and Joseph Jay Williams and Anna N. Rafferty},
year = {2020},
url = {https://educationaldatamining.org/files/conferences/EDM2020/papers/paper_124.pdf},
researchr = {https://researchr.org/publication/LiYSSWR20},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020},
editor = {Anna N. Rafferty and Jacob Whitehill and Cristóbal Romero and Violetta Cavalli-Sforza},
publisher = {International Educational Data Mining Society},
isbn = {978-1-7336736-1-7},
}