{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T10:05:31Z","timestamp":1775815531273,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T00:00:00Z","timestamp":1724457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Hong Kong ITC Innovation and Technology Fund Midstream Research Programme for Universities Project","award":["No.ITS\/034\/22MS"],"award-info":[{"award-number":["No.ITS\/034\/22MS"]}]},{"name":"APRC - CityU New Research Initiatives","award":["No.9610565"],"award-info":[{"award-number":["No.9610565"]}]},{"name":"Huawei (Huawei Innovation Research Program)"},{"name":"Research Impact Fund","award":["No.R1015-23"],"award-info":[{"award-number":["No.R1015-23"]}]},{"name":"CityU - HKIDS Early Career Research Grant","award":["No.9360163"],"award-info":[{"award-number":["No.9360163"]}]},{"name":"Hong Kong Environmental and Conservation Fund","award":["No. 88\/2022"],"award-info":[{"award-number":["No. 88\/2022"]}]},{"name":"SIRG - CityU Strategic Interdisciplinary Research Grant","award":["No.7020046, No.7020074"],"award-info":[{"award-number":["No.7020046, No.7020074"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,25]]},"DOI":"10.1145\/3637528.3671571","type":"proceedings-article","created":{"date-parts":[[2024,8,25]],"date-time":"2024-08-25T04:54:55Z","timestamp":1724561695000},"page":"5194-5205","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4712-3676","authenticated-orcid":false,"given":"Pengyue","family":"Jia","sequence":"first","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2852-9910","authenticated-orcid":false,"given":"Yejing","family":"Wang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1811-129X","authenticated-orcid":false,"given":"Zhaocheng","family":"Du","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2926-4416","authenticated-orcid":false,"given":"Xiangyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7053-8269","authenticated-orcid":false,"given":"Yichao","family":"Wang","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3750-2533","authenticated-orcid":false,"given":"Bo","family":"Chen","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5976-0707","authenticated-orcid":false,"given":"Wanyu","family":"Wang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7393-8994","authenticated-orcid":false,"given":"Huifeng","family":"Guo","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9224-2431","authenticated-orcid":false,"given":"Ruiming","family":"Tang","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2024,8,24]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Noelia S\u00e1nchez-Maro no, and Amparo Alonso-Betanzos","author":"Bol\u00f3n-Canedo Ver\u00f3nica","year":"2013","unstructured":"Ver\u00f3nica Bol\u00f3n-Canedo, Noelia S\u00e1nchez-Maro no, and Amparo Alonso-Betanzos. 2013. A review of feature selection methods on synthetic data. Knowledge and information systems, Vol. 34 (2013), 483--519."},{"key":"e_1_3_2_2_2_1","volume-title":"Jos\u00e9 Manuel Ben\u00edtez, and Francisco Herrera","author":"Bol\u00f3n-Canedo Ver\u00f3nica","year":"2014","unstructured":"Ver\u00f3nica Bol\u00f3n-Canedo, Noelia S\u00e1nchez-Marono, Amparo Alonso-Betanzos, Jos\u00e9 Manuel Ben\u00edtez, and Francisco Herrera. 2014. A review of microarray datasets and applied feature selection methods. Information sciences, Vol. 282 (2014)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2019.106839"},{"key":"e_1_3_2_2_4_1","volume-title":"Random forests. Machine learning","author":"Breiman Leo","year":"2001","unstructured":"Leo Breiman. 2001. Random forests. Machine learning, Vol. 45 (2001), 5--32."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3630104"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_2_8_1","volume-title":"NeurIPS 2023 Second Table Representation Learning Workshop.","author":"Cherepanova Valeriia","year":"2023","unstructured":"Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C. Bruss, Andrew Wilson, Tom Goldstein, and Micah Goldblum. 2023. A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning. In NeurIPS 2023 Second Table Representation Learning Workshop."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.12.046"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00117"},{"key":"e_1_3_2_2_11_1","article-title":"All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously","volume":"20","author":"Fisher Aaron","year":"2019","unstructured":"Aaron Fisher, Cynthia Rudin, and Francesca Dominici. 2019. All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously. Journal of machine learning research: JMLR, Vol. 20 (2019).","journal-title":"Journal of machine learning research: JMLR"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944974"},{"key":"e_1_3_2_2_13_1","volume-title":"Greedy function approximation: a gradient boosting machine. Annals of statistics","author":"Friedman Jerome H","year":"2001","unstructured":"Jerome H Friedman. 2001. Greedy function approximation: a gradient boosting machine. Annals of statistics (2001), 1189--1232."},{"key":"e_1_3_2_2_14_1","volume-title":"Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products. Chemometrics and intelligent laboratory systems","author":"Granitto Pablo M","year":"2006","unstructured":"Pablo M Granitto, Cesare Furlanello, Franco Biasioli, and Flavia Gasperi. 2006. Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products. Chemometrics and intelligent laboratory systems (2006)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467077"},{"key":"e_1_3_2_2_16_1","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247 (2017)."},{"key":"e_1_3_2_2_17_1","volume-title":"LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. arXiv preprint arXiv:2206.00267","author":"Guo Yi","year":"2022","unstructured":"Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, et al. 2022. LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. arXiv preprint arXiv:2206.00267 (2022)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944968"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/SECON.2016.7506650"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347043"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1080\/01969722.2022.2103614"},{"key":"e_1_3_2_2_22_1","volume-title":"G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. arXiv preprint arXiv:2405.14702","author":"Jia Pengyue","year":"2024","unstructured":"Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, and Dawei Yin. 2024. G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. arXiv preprint arXiv:2405.14702 (2024)."},{"key":"e_1_3_2_2_23_1","volume-title":"Mill: Mutual verification with large language models for zero-shot query expansion. arXiv preprint arXiv:2310.19056","author":"Jia Pengyue","year":"2023","unstructured":"Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, and Dawei Yin. 2023. Mill: Mutual verification with large language models for zero-shot query expansion. arXiv preprint arXiv:2310.19056 (2023)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28699"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615243"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583440"},{"key":"e_1_3_2_2_28_1","volume-title":"Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM. arXiv preprint arXiv:2312.15450","author":"Li Xiaopeng","year":"2023","unstructured":"Xiaopeng Li, Lixin Su, Pengyue Jia, Xiangyu Zhao, Suqi Cheng, Junfeng Wang, and Dawei Yin. 2023. Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM. arXiv preprint arXiv:2312.15450 (2023)."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539204"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635859"},{"key":"e_1_3_2_2_31_1","volume-title":"Proceedings of 7th IEEE international conference on tools with artificial intelligence. IEEE, 388--391","author":"Liu Huan","year":"1995","unstructured":"Huan Liu and Rudy Setiono. 1995. Chi2: Feature selection and discretization of numeric attributes. In Proceedings of 7th IEEE international conference on tools with artificial intelligence. IEEE, 388--391."},{"key":"e_1_3_2_2_32_1","volume-title":"DARTS: Differentiable Architecture Search. In International Conference on Learning Representations.","author":"Liu Hanxiao","year":"2018","unstructured":"Hanxiao Liu, Karen Simonyan, and Yiming Yang. 2018. DARTS: Differentiable Architecture Search. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401436"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330868"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583545"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210104"},{"key":"e_1_3_2_2_37_1","volume-title":"Factorization Machines. In Proceedings of the 2010 IEEE International Conference on Data Mining. 995--1000","author":"Rendle Steffen","year":"2010","unstructured":"Steffen Rendle. 2010. Factorization Machines. In Proceedings of the 2010 IEEE International Conference on Data Mining. 995--1000."},{"key":"e_1_3_2_2_38_1","volume-title":"Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. 452--461","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. 452--461."},{"key":"e_1_3_2_2_39_1","volume-title":"Data mining and genetic algorithm based gene\/SNP selection. Artificial intelligence in medicine","author":"Shah Shital C","year":"2004","unstructured":"Shital C Shah and Andrew Kusiak. 2004. Data mining and genetic algorithm based gene\/SNP selection. Artificial intelligence in medicine, Vol. 31, 3 (2004), 183--196."},{"key":"e_1_3_2_2_40_1","volume-title":"Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC bioinformatics","author":"Strobl Carolin","year":"2007","unstructured":"Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, and Torsten Hothorn. 2007. Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC bioinformatics, Vol. 8, 1 (2007), 1--21."},{"key":"e_1_3_2_2_41_1","volume-title":"Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological)","author":"Tibshirani Robert","year":"1996","unstructured":"Robert Tibshirani. 1996. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological) (1996)."},{"key":"e_1_3_2_2_42_1","volume-title":"A review of feature selection methods based on mutual information. Neural computing and applications","author":"Vergara Jorge R","year":"2014","unstructured":"Jorge R Vergara and Pablo A Est\u00e9vez. 2014. A review of feature selection methods based on mutual information. Neural computing and applications, Vol. 24 (2014)."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3124749.3124754"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591767"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512071"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615499"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"Zijian Zhang Shuchang Liu Jiaao Yu Qingpeng Cai Xiangyu Zhao Chunxu Zhang Ziru Liu Qidong Liu Hongwei Zhao Lantao Hu et al. 2024. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. arXiv preprint arXiv:2404.18465 (2024).","DOI":"10.1145\/3626772.3657686"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467208"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450124"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00096"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM51629.2021.00101"},{"key":"e_1_3_2_2_52_1","first-page":"1","article-title":"Automl for deep recommender systems: A survey","volume":"41","author":"Zheng Ruiqi","year":"2023","unstructured":"Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, and Hongzhi Yin. 2023. Automl for deep recommender systems: A survey. ACM Transactions on Information Systems, Vol. 41, 4 (2023), 1--38.","journal-title":"ACM Transactions on Information Systems"}],"event":{"name":"KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Barcelona Spain","acronym":"KDD '24","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3671571","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3637528.3671571","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:04:19Z","timestamp":1750291459000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3671571"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,24]]},"references-count":52,"alternative-id":["10.1145\/3637528.3671571","10.1145\/3637528"],"URL":"https:\/\/doi.org\/10.1145\/3637528.3671571","relation":{},"subject":[],"published":{"date-parts":[[2024,8,24]]},"assertion":[{"value":"2024-08-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}