MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction.

@inproceedings{zhang-2023-memonet, author = {Pengtao Zhang and Junlin Zhang}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {3154--3163}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614963}, doi = {https://doi.org/10.1145/3583780.3614963} }