Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering.

@inproceedings{li-2022-seesaw, author = {Meng Li and Deyi Chen and Haipeng Dai and Rongbiao Xie and Siqiang Luo and Rong Gu and Tong Yang and Guihai Chen}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {2759--2767}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3511996}, doi = {https://doi.org/10.1145/3485447.3511996} }