{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T01:58:27Z","timestamp":1783648707559,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,19]]},"DOI":"10.1145\/3442381.3450124","type":"proceedings-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T19:24:51Z","timestamp":1622748291000},"page":"3015-3022","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":44,"title":["AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems"],"prefix":"10.1145","author":[{"given":"Xiangyu","family":"Zhao","sequence":"first","affiliation":[{"name":"Michigan State University and City University of Hong Kong, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haochen","family":"Liu","sequence":"additional","affiliation":[{"name":"Michigan State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Liu","sequence":"additional","affiliation":[{"name":"Michigan State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiliang","family":"Tang","sequence":"additional","affiliation":[{"name":"Michigan State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiwei","family":"Guo","sequence":"additional","affiliation":[{"name":"Linkedin Corporation, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Shi","sequence":"additional","affiliation":[{"name":"Linkedin Corporation, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sida","family":"Wang","sequence":"additional","affiliation":[{"name":"Linkedin Corporation, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiji","family":"Gao","sequence":"additional","affiliation":[{"name":"Linkedin Corporation, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Long","sequence":"additional","affiliation":[{"name":"JD.com, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-014-0220-8"},{"key":"e_1_3_2_1_2_1","unstructured":"Andrew Brock Theodore Lim James\u00a0M Ritchie and Nick Weston. 2017. Smash: one-shot model architecture search through hypernetworks. arXiv preprint arXiv:1708.05344(2017). Andrew Brock Theodore Lim James\u00a0M Ritchie and Nick Weston. 2017. Smash: one-shot model architecture search through hypernetworks. arXiv preprint arXiv:1708.05344(2017)."},{"key":"e_1_3_2_1_3_1","unstructured":"Ting Chen Lala Li and Yizhou Sun. 2019. Differentiable product quantization for end-to-end embedding compression. arXiv preprint arXiv:1908.09756(2019). Ting Chen Lala Li and Yizhou Sun. 2019. Differentiable product quantization for end-to-end embedding compression. arXiv preprint arXiv:1908.09756(2019)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Wenqi Fan Tyler Derr Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Jiliang Tang and Qing Li. 2020. Attacking Black-box Recommendations via Copying Cross-domain User Profiles. arXiv preprint arXiv:2005.08147(2020). Wenqi Fan Tyler Derr Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Jiliang Tang and Qing Li. 2020. Attacking Black-box Recommendations via Copying Cross-domain User Profiles. arXiv preprint arXiv:2005.08147(2020).","DOI":"10.1109\/ICDE51399.2021.00140"},{"key":"e_1_3_2_1_7_1","unstructured":"Yingqiang Ge Shuchang Liu Ruoyuan Gao Yikun Xian Yunqi Li Xiangyu Zhao Changhua Pei Fei Sun Junfeng Ge Wenwu Ou 2021. Towards Long-term Fairness in Recommendation. arXiv preprint arXiv:2101.03584(2021). Yingqiang Ge Shuchang Liu Ruoyuan Gao Yikun Xian Yunqi Li Xiangyu Zhao Changhua Pei Fei Sun Junfeng Ge Wenwu Ou 2021. Towards Long-term Fairness in Recommendation. arXiv preprint arXiv:2101.03584(2021)."},{"key":"e_1_3_2_1_8_1","unstructured":"Antonio Ginart Maxim Naumov Dheevatsa Mudigere Jiyan Yang and James Zou. 2019. Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems. arXiv preprint arXiv:1909.11810(2019). Antonio Ginart Maxim Naumov Dheevatsa Mudigere Jiyan Yang and James Zou. 2019. Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems. arXiv preprint arXiv:1909.11810(2019)."},{"key":"e_1_3_2_1_9_1","unstructured":"Emil\u00a0Julius Gumbel. 1948. Statistical theory of extreme values and some practical applications: a series of lectures. Vol.\u00a033. US Government Printing Office. Emil\u00a0Julius Gumbel. 1948. Statistical theory of extreme values and some practical applications: a series of lectures. Vol.\u00a033. US Government Printing Office."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/239"},{"key":"e_1_3_2_1_11_1","unstructured":"Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939(2015). Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939(2015)."},{"key":"e_1_3_2_1_12_1","volume-title":"International Conference on Machine Learning. 448\u2013456","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy . 2015 . Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift . In International Conference on Machine Learning. 448\u2013456 . Sergey Ioffe and Christian Szegedy. 2015. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In International Conference on Machine Learning. 448\u2013456."},{"key":"e_1_3_2_1_13_1","unstructured":"Eric Jang Shixiang Gu and Ben Poole. 2016. Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144(2016). Eric Jang Shixiang Gu and Ben Poole. 2016. Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144(2016)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403288"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Wang-Cheng Kang Derek\u00a0Zhiyuan Cheng Ting Chen Xinyang Yi Dong Lin Lichan Hong and Ed\u00a0H Chi. 2020. Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. arXiv preprint arXiv:2002.08530(2020). Wang-Cheng Kang Derek\u00a0Zhiyuan Cheng Ting Chen Xinyang Yi Dong Lin Lichan Hong and Ed\u00a0H Chi. 2020. Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. arXiv preprint arXiv:2002.08530(2020).","DOI":"10.1145\/3366424.3383416"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220023"},{"key":"e_1_3_2_1_17_1","volume-title":"Darts: Differentiable architecture search. arXiv preprint arXiv:1806.09055(2018).","author":"Liu Hanxiao","year":"2018","unstructured":"Hanxiao Liu , Karen Simonyan , and Yiming Yang . 2018 . Darts: Differentiable architecture search. arXiv preprint arXiv:1806.09055(2018). Hanxiao Liu, Karen Simonyan, and Yiming Yang. 2018. Darts: Differentiable architecture search. arXiv preprint arXiv:1806.09055(2018)."},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of the 32nd International Conference on Neural Information Processing Systems. 7827\u20137838","author":"Luo Renqian","year":"2018","unstructured":"Renqian Luo , Fei Tian , Tao Qin , Enhong Chen , and Tie-Yan Liu . 2018 . Neural architecture optimization . In Proceedings of the 32nd International Conference on Neural Information Processing Systems. 7827\u20137838 . Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, and Tie-Yan Liu. 2018. Neural architecture optimization. In Proceedings of the 32nd International Conference on Neural Information Processing Systems. 7827\u20137838."},{"key":"e_1_3_2_1_19_1","volume-title":"International Conference on Machine Learning. 4095\u20134104","author":"Pham Hieu","year":"2018","unstructured":"Hieu Pham , Melody Guan , Barret Zoph , Quoc Le , and Jeff Dean . 2018 . Efficient Neural Architecture Search via Parameters Sharing . In International Conference on Machine Learning. 4095\u20134104 . Hieu Pham, Melody Guan, Barret Zoph, Quoc Le, and Jeff Dean. 2018. Efficient Neural Architecture Search via Parameters Sharing. In International Conference on Machine Learning. 4095\u20134104."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0151"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742726"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988452"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080786"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052638"},{"key":"e_1_3_2_1_27_1","unstructured":"Sirui Xie Hehui Zheng Chunxiao Liu and Liang Lin. 2018. SNAS: stochastic neural architecture search. arXiv preprint arXiv:1812.09926(2018). Sirui Xie Hehui Zheng Chunxiao Liu and Liang Lin. 2018. SNAS: stochastic neural architecture search. arXiv preprint arXiv:1812.09926(2018)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3316481"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401467"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Xiangyu Zhao Changsheng Gu Haoshenglun Zhang Xiaobing Liu Xiwang Yang and Jiliang Tang. 2019. Deep Reinforcement Learning for Online Advertising in Recommender Systems. arXiv preprint arXiv:1909.03602(2019). Xiangyu Zhao Changsheng Gu Haoshenglun Zhang Xiaobing Liu Xiwang Yang and Jiliang Tang. 2019. Deep Reinforcement Learning for Online Advertising in Recommender Systems. arXiv preprint arXiv:1909.03602(2019).","DOI":"10.1145\/3320496.3320500"},{"key":"e_1_3_2_1_31_1","unstructured":"Xiangyu Zhao Chong Wang Ming Chen Xudong Zheng Xiaobing Liu and Jiliang Tang. 2020. AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. arXiv preprint arXiv:2002.11252(2020). Xiangyu Zhao Chong Wang Ming Chen Xudong Zheng Xiaobing Liu and Jiliang Tang. 2020. AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. arXiv preprint arXiv:2002.11252(2020)."},{"key":"e_1_3_2_1_32_1","unstructured":"Xiangyu Zhao Long Xia Zhuoye Ding Dawei Yin and Jiliang Tang. 2019. Toward Simulating Environments in Reinforcement Learning Based Recommendations. arXiv preprint arXiv:1906.11462(2019). Xiangyu Zhao Long Xia Zhuoye Ding Dawei Yin and Jiliang Tang. 2019. Toward Simulating Environments in Reinforcement Learning Based Recommendations. arXiv preprint arXiv:1906.11462(2019)."},{"key":"e_1_3_2_1_33_1","volume-title":"Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator. ACM SIGWEB NewsletterSpring","author":"Zhao Xiangyu","year":"2019","unstructured":"Xiangyu Zhao , Long Xia , Jiliang Tang , and Dawei Yin . 2019. Deep reinforcement learning for search, recommendation, and online advertising: a survey by Xiangyu Zhao , Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator. ACM SIGWEB NewsletterSpring ( 2019 ), 4. Xiangyu Zhao, Long Xia, Jiliang Tang, and Dawei Yin. 2019. Deep reinforcement learning for search, recommendation, and online advertising: a survey by Xiangyu Zhao, Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator. ACM SIGWEB NewsletterSpring (2019), 4."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240374"},{"key":"e_1_3_2_1_35_1","volume-title":"Whole-Chain Recommendations. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 1883\u20131891","author":"Zhao Xiangyu","year":"2020","unstructured":"Xiangyu Zhao , Long Xia , Lixin Zou , Hui Liu , Dawei Yin , and Jiliang Tang . 2020 . Whole-Chain Recommendations. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 1883\u20131891 . Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, and Jiliang Tang. 2020. Whole-Chain Recommendations. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 1883\u20131891."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219886"},{"key":"e_1_3_2_1_37_1","unstructured":"Xiangyu Zhao Liang Zhang Zhuoye Ding Dawei Yin Yihong Zhao and Jiliang Tang. 2017. Deep Reinforcement Learning for List-wise Recommendations. arXiv preprint arXiv:1801.00209(2017). Xiangyu Zhao Liang Zhang Zhuoye Ding Dawei Yin Yihong Zhao and Jiliang Tang. 2017. Deep Reinforcement Learning for List-wise Recommendations. arXiv preprint arXiv:1801.00209(2017)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403384"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_1_40_1","unstructured":"Barret Zoph and Quoc\u00a0V Le. 2016. Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578(2016). Barret Zoph and Quoc\u00a0V Le. 2016. Neural architecture search with reinforcement learning. arXiv preprint arXiv:1611.01578(2016)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401181"}],"event":{"name":"WWW '21: The Web Conference 2021","location":"Ljubljana Slovenia","acronym":"WWW '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the Web Conference 2021"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3450124","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442381.3450124","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:28Z","timestamp":1750195468000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3450124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":42,"alternative-id":["10.1145\/3442381.3450124","10.1145\/3442381"],"URL":"https:\/\/doi.org\/10.1145\/3442381.3450124","relation":{},"subject":[],"published":{"date-parts":[[2021,4,19]]},"assertion":[{"value":"2021-06-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}