{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T22:54:26Z","timestamp":1753052066388,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,30]],"date-time":"2023-04-30T00:00:00Z","timestamp":1682812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072182,92270119"],"award-info":[{"award-number":["62072182,92270119"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,30]]},"DOI":"10.1145\/3543507.3583351","type":"proceedings-article","created":{"date-parts":[[2023,4,26]],"date-time":"2023-04-26T23:30:51Z","timestamp":1682551851000},"page":"1043-1052","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Quantize Sequential Recommenders Without Private Data"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6687-3996","authenticated-orcid":false,"given":"Lingfeng","family":"Shi","sequence":"first","affiliation":[{"name":"East China Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7338-4696","authenticated-orcid":false,"given":"Yuang","family":"Liu","sequence":"additional","affiliation":[{"name":"East China Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2787-8932","authenticated-orcid":false,"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"East China Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6763-8146","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"East China Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,4,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Jin Chen Defu Lian Binbin Jin Xu Huang Kai Zheng and Enhong Chen. 2022. Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. In WWW. 1944\u20131954.","DOI":"10.1145\/3485447.3512068"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Tong Chen Hongzhi Yin Yujia Zheng Zi Huang Yang Wang and Meng Wang. 2021. Learning elastic embeddings for customizing on-device recommenders. In KDD. 138\u2013147.","DOI":"10.1145\/3447548.3467220"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Wei Deng Junwei Pan Tian Zhou Deguang Kong Aaron Flores and Guang Lin. 2021. DeepLight: Deep lightweight feature interactions for accelerating CTR predictions in ad serving. In WSDM. 922\u2013930.","DOI":"10.1145\/3437963.3441727"},{"key":"e_1_3_2_1_4_1","volume-title":"Compressing deep convolutional networks using vector quantization. arXiv preprint arXiv:1412.6115","author":"Gong Yunchao","year":"2014","unstructured":"Yunchao Gong, Liu Liu, Ming Yang, and Lubomir Bourdev. 2014. Compressing deep convolutional networks using vector quantization. arXiv preprint arXiv:1412.6115 (2014)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"e_1_3_2_1_6_1","volume-title":"Post-training 4-bit quantization on embedding tables. arXiv preprint arXiv:1911.02079","author":"Guan Hui","year":"2019","unstructured":"Hui Guan, Andrey Malevich, Jiyan Yang, Jongsoo Park, and Hector Yuen. 2019. Post-training 4-bit quantization on embedding tables. arXiv preprint arXiv:1911.02079 (2019)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Jialiang Han Yun Ma Qiaozhu Mei and Xuanzhe Liu. 2021. DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. In WWW. 900\u2013911.","DOI":"10.1145\/3442381.3449942"},{"key":"e_1_3_2_1_8_1","unstructured":"Ruining He and Julian McAuley. 2016. Fusing similarity models with markov chains for sparse sequential recommendation. In ICDM. 191\u2013200."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Bal\u00e1zs Hidasi and Alexandros Karatzoglou. 2018. Recurrent neural networks with top-k gains for session-based recommendations. In CIKM. 843\u2013852.","DOI":"10.1145\/3269206.3271761"},{"key":"e_1_3_2_1_10_1","volume-title":"Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939","author":"Hidasi Bal\u00e1zs","year":"2015","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)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.02.002"},{"key":"e_1_3_2_1_12_1","volume-title":"Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 2, 7","author":"Hinton Geoffrey","year":"2015","unstructured":"Geoffrey Hinton, Oriol Vinyals, Jeff Dean, 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 2, 7 (2015)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew Tang Andrew Howard Hartwig Adam and Dmitry Kalenichenko. 2018. Quantization and training of neural networks for efficient integer-arithmetic-only inference. In CVPR. 2704\u20132713.","DOI":"10.1109\/CVPR.2018.00286"},{"key":"e_1_3_2_1_14_1","volume-title":"Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144","author":"Jang Eric","year":"2016","unstructured":"Eric Jang, Shixiang Gu, and Ben Poole. 2016. Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144 (2016)."},{"volume-title":"Social Media Retrieval","author":"Jeckmans JP","key":"e_1_3_2_1_15_1","unstructured":"Arjan\u00a0JP Jeckmans, Michael Beye, Zekeriya Erkin, Pieter Hartel, Reginald\u00a0L Lagendijk, and Qiang Tang. 2013. Privacy in recommender systems. In Social Media Retrieval. Springer, 263\u2013281."},{"key":"e_1_3_2_1_16_1","volume-title":"Product quantization for nearest neighbor search","author":"Jegou Herve","year":"2010","unstructured":"Herve Jegou, Matthijs Douze, and Cordelia Schmid. 2010. Product quantization for nearest neighbor search. IEEE transactions on pattern analysis and machine intelligence 33, 1 (2010), 117\u2013128."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Gangwei Jiang Hao Wang Jin Chen Haoyu Wang Defu Lian and Enhong Chen. 2021. xLightFM: Extremely Memory-Efficient Factorization Machine. In SIGIR. 337\u2013346.","DOI":"10.1145\/3404835.3462941"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Manas\u00a0R Joglekar Cong Li Mei Chen Taibai Xu Xiaoming Wang Jay\u00a0K Adams Pranav Khaitan Jiahui Liu and Quoc\u00a0V Le. 2020. Neural input search for large scale recommendation models. In KDD. 2387\u20132397.","DOI":"10.1145\/3394486.3403288"},{"volume-title":"Self-attentive sequential recommendation","author":"Kang Wang-Cheng","key":"e_1_3_2_1_19_1","unstructured":"Wang-Cheng Kang and Julian McAuley. 2018. Self-attentive sequential recommendation. In ICDM. IEEE, 197\u2013206."},{"key":"e_1_3_2_1_20_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma P","year":"2014","unstructured":"Diederik\u00a0P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_21_1","volume-title":"Training quantized nets: A deeper understanding. Advances in Neural Information Processing Systems 30","author":"Li Hao","year":"2017","unstructured":"Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, and Tom Goldstein. 2017. Training quantized nets: A deeper understanding. Advances in Neural Information Processing Systems 30 (2017)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Jingjing Li Mengmeng Jing Ke Lu Lei Zhu Yang Yang and Zi Huang. 2019. From zero-shot learning to cold-start recommendation. In AAAI Vol.\u00a033. 4189\u20134196.","DOI":"10.1609\/aaai.v33i01.33014189"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Yang Li Tong Chen Peng-Fei Zhang and Hongzhi Yin. 2021. Lightweight self-attentive sequential recommendation. In CIKM. 967\u2013977.","DOI":"10.1145\/3459637.3482448"},{"key":"e_1_3_2_1_24_1","volume-title":"Learnable embedding sizes for recommender systems. arXiv preprint arXiv:2101.07577","author":"Liu Siyi","year":"2021","unstructured":"Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, and Yong Li. 2021. Learnable embedding sizes for recommender systems. arXiv preprint arXiv:2101.07577 (2021)."},{"key":"e_1_3_2_1_25_1","volume-title":"Data-free knowledge transfer: A survey. arXiv preprint arXiv:2112.15278","author":"Liu Yuang","year":"2021","unstructured":"Yuang Liu, Wei Zhang, Jun Wang, and Jianyong Wang. 2021. Data-free knowledge transfer: A survey. arXiv preprint arXiv:2112.15278 (2021)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Julian McAuley Christopher Targett Qinfeng Shi and Anton Van Den\u00a0Hengel. 2015. Image-based recommendations on styles and substitutes. In SIGIR. 43\u201352.","DOI":"10.1145\/2766462.2767755"},{"key":"e_1_3_2_1_27_1","unstructured":"Jianmo Ni Jiacheng Li and Julian McAuley. 2019. Justifying recommendations using distantly-labeled reviews and fine-grained aspects. In EMNLP-IJCNLP. 188\u2013197."},{"key":"e_1_3_2_1_28_1","volume-title":"Model compression via distillation and quantization. arXiv preprint arXiv:1802.05668","author":"Polino Antonio","year":"2018","unstructured":"Antonio Polino, Razvan Pascanu, and Dan Alistarh. 2018. Model compression via distillation and quantization. arXiv preprint arXiv:1802.05668 (2018)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Steffen Rendle Christoph Freudenthaler and Lars Schmidt-Thieme. 2010. Factorizing personalized markov chains for next-basket recommendation. In WWW. 811\u2013820.","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_30_1","volume-title":"Carlo Gatta, and Yoshua Bengio","author":"Romero Adriana","year":"2014","unstructured":"Adriana Romero, Nicolas Ballas, Samira\u00a0Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio. 2014. Fitnets: Hints for thin deep nets. arXiv preprint arXiv:1412.6550 (2014)."},{"key":"e_1_3_2_1_31_1","volume-title":"An MDP-based recommender system.JMLR 6, 9","author":"Shani Guy","year":"2005","unstructured":"Guy Shani, David Heckerman, Ronen\u00a0I Brafman, and Craig Boutilier. 2005. An MDP-based recommender system.JMLR 6, 9 (2005)."},{"key":"e_1_3_2_1_32_1","unstructured":"Hao-Jun\u00a0Michael Shi Dheevatsa Mudigere Maxim Naumov and Jiyan Yang. 2020. Compositional embeddings using complementary partitions for memory-efficient recommendation systems. In KDD. 165\u2013175."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou and Peng Jiang. 2019. BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In CIKM. 1441\u20131450.","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Yang Sun Fajie Yuan Min Yang Guoao Wei Zhou Zhao and Duo Liu. 2020. A generic network compression framework for sequential recommender systems. In SIGIR. 1299\u20131308.","DOI":"10.1145\/3397271.3401125"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Jiaxi Tang and Ke Wang. 2018. Ranking distillation: Learning compact ranking models with high performance for recommender system. In KDD. 2289\u20132298.","DOI":"10.1145\/3219819.3220021"},{"key":"e_1_3_2_1_36_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NeurIPS Vol.\u00a030."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Qinyong Wang Hongzhi Yin Tong Chen Zi Huang Hao Wang Yanchang Zhao and Nguyen\u00a0Quoc Viet\u00a0Hung. 2020. Next point-of-interest recommendation on resource-constrained mobile devices. In WWW. 906\u2013916.","DOI":"10.1145\/3366423.3380170"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3465401","article-title":"A survey on session-based recommender systems","volume":"54","author":"Wang Shoujin","year":"2021","unstructured":"Shoujin Wang, Longbing Cao, Yan Wang, Quan\u00a0Z Sheng, Mehmet\u00a0A Orgun, and Defu Lian. 2021. A survey on session-based recommender systems. Comput. Surveys 54, 7 (2021), 1\u201338.","journal-title":"Comput. Surveys"},{"key":"e_1_3_2_1_39_1","volume-title":"Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. In WWW. 3056\u20133062.","author":"Wang Wen","year":"2020","unstructured":"Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, and Hongyuan Zha. 2020. Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. In WWW. 3056\u20133062."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu and Jian Cheng. 2016. Quantized convolutional neural networks for mobile devices. In CVPR. 4820\u20134828.","DOI":"10.1109\/CVPR.2016.521"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Xin Xia Hongzhi Yin Junliang Yu Qinyong Wang Guandong Xu and Quoc Viet\u00a0Hung Nguyen. 2022. On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. In SIGIR. 546\u2013555.","DOI":"10.1145\/3477495.3531775"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2014.2327053"},{"volume-title":"EMC2-NeurIPS","author":"Zafrir Ofir","key":"e_1_3_2_1_43_1","unstructured":"Ofir Zafrir, Guy Boudoukh, Peter Izsak, and Moshe Wasserblat. 2019. Q8bert: Quantized 8bit bert. In EMC2-NeurIPS. IEEE, 36\u201339."},{"key":"e_1_3_2_1_44_1","volume-title":"Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer. arXiv preprint arXiv:1612.03928","author":"Zagoruyko Sergey","year":"2016","unstructured":"Sergey Zagoruyko and Nikos Komodakis. 2016. Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer. arXiv preprint arXiv:1612.03928 (2016)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Hanwang Zhang Fumin Shen Wei Liu Xiangnan He Huanbo Luan and Tat-Seng Chua. 2016. Discrete collaborative filtering. In SIGIR. 325\u2013334.","DOI":"10.1145\/2911451.2911502"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3158369"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Yan Zhang Hongzhi Yin Zi Huang Xingzhong Du Guowu Yang and Defu Lian. 2018. Discrete deep learning for fast content-aware recommendation. In WSDM. 717\u2013726.","DOI":"10.1145\/3159652.3159688"},{"key":"e_1_3_2_1_48_1","unstructured":"Yichen Zhu and Yi Wang. 2021. Student customized knowledge distillation: Bridging the gap between student and teacher. In ICCV. 5057\u20135066."}],"event":{"name":"WWW '23: The ACM Web Conference 2023","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Austin TX USA","acronym":"WWW '23"},"container-title":["Proceedings of the ACM Web Conference 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583351","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3543507.3583351","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:23Z","timestamp":1750178243000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583351"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,30]]},"references-count":48,"alternative-id":["10.1145\/3543507.3583351","10.1145\/3543507"],"URL":"https:\/\/doi.org\/10.1145\/3543507.3583351","relation":{},"subject":[],"published":{"date-parts":[[2023,4,30]]},"assertion":[{"value":"2023-04-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}