A Comprehensive Survey on Automated Machine Learning for Recommendations

A Comprehensive Survey on Automated Machine Learning for Recommendations

4 April 2022

Xiangyu Zhao

Ruiming Tang

Papers citing "A Comprehensive Survey on Automated Machine Learning for Recommendations"

7 / 7 papers shown

Title
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry Yihong Huang Chen Chu Fan Zhang Fei Chen Yu Lin Ruiduan Li Zhihao Li 48 0 0 12 Mar 2025
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction Yunpeng Weng Xing Tang Zhenhao Xu Fuyuan Lyu Dugang Liu Zexu Sun Xiuqiang He 40 2 0 16 Aug 2024
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems Pengyue Jia Yejing Wang Zhaochen Du Xiangyu Zhao Yichao Wang Bo Chen Wanyu Wang Huifeng Guo Ruiming Tang 24 7 0 19 Mar 2024
BM-NAS: Bilevel Multimodal Neural Architecture Search Yihang Yin Siyu Huang Xiang Zhang 32 27 0 19 Apr 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 59 82 0 19 Jan 2021
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016