{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T14:59:18Z","timestamp":1776697158124,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":69,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T00:00:00Z","timestamp":1663027200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/R018634\/1"],"award-info":[{"award-number":["EP\/R018634\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,18]]},"DOI":"10.1145\/3523227.3548487","type":"proceedings-article","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T14:13:46Z","timestamp":1663078426000},"page":"436-447","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":53,"title":["A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation"],"prefix":"10.1145","author":[{"given":"Aleksandr","family":"Petrov","sequence":"first","affiliation":[{"name":"School of Computing cience, University of Glasgow, United Kingdom"}]},{"given":"Craig","family":"Macdonald","sequence":"additional","affiliation":[{"name":"School of Computing cience, University of Glasgow, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2022,9,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88942-5_24"},{"key":"e_1_3_2_2_2_1","unstructured":"Nabiha Asghar. 2016. Yelp dataset challenge: Review rating prediction. arXiv preprint arXiv:1605.05362(2016)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481905"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412259"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2039320"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498519"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412216"},{"key":"e_1_3_2_2_8_1","volume-title":"Proc. RecSys. 101\u2013109","author":"Dacrema Maurizio\u00a0Ferrari","year":"2019","unstructured":"Maurizio\u00a0Ferrari Dacrema, Paolo Cremonesi, and Dietmar Jannach. 2019. Are we really making much progress? A worrying analysis of recent neural recommendation approaches. In Proc. RecSys. 101\u2013109."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3475943"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474255"},{"key":"e_1_3_2_2_11_1","volume-title":"Proc. NAACL-HLT. 4171\u20134186","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proc. NAACL-HLT. 4171\u20134186."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462978"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482242"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"e_1_3_2_2_15_1","volume-title":"Proc. ICLR.","author":"He Pengcheng","year":"2020","unstructured":"Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020. DeBERTa: Decoding-enhanced bert with disentangled attention. In Proc. ICLR."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482136"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271761"},{"key":"e_1_3_2_2_20_1","volume-title":"Proc. ICLR.","author":"Hidasi Bal\u00e1zs","year":"2016","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. In Proc. ICLR."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482492"},{"key":"e_1_3_2_2_22_1","volume-title":"Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations. ACM Transactions on Information Systems (TOIS)","author":"Huang Liwei","year":"2021","unstructured":"Liwei Huang, Yutao Ma, Yanbo Liu, Bohong\u00a0Danny Du, Shuliang Wang, and Deyi Li. 2021. Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations. ACM Transactions on Information Systems (TOIS) (2021)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463016"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403226"},{"key":"e_1_3_2_2_26_1","volume-title":"Proc. Workshop on New Trends on Content-Based Recommender @ RecSys(CEUR Workshop Proc., Vol.\u00a01448)","author":"Kula Maciej","year":"2015","unstructured":"Maciej Kula. 2015. Metadata Embeddings for User and Item Cold-start Recommendations. In Proc. Workshop on New Trends on Content-Based Recommender @ RecSys(CEUR Workshop Proc., Vol.\u00a01448). 14\u201321."},{"key":"e_1_3_2_2_27_1","volume-title":"Proc. ICLR.","author":"Lan Zhenzhong","year":"2019","unstructured":"Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. In Proc. ICLR."},{"key":"e_1_3_2_2_28_1","unstructured":"Chenglin Li Mingjun Zhao Huanming Zhang Chenyun Yu Lei Cheng Guoqiang Shu BeiBei Kong and Di Niu. 2022. RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. (2022) 571\u2013581."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3050571"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482351"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482448"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482257"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16549"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219950"},{"key":"e_1_3_2_2_37_1","unstructured":"Zhiwei Liu Yongjun Chen Jia Li Philip\u00a0S Yu Julian McAuley and Caiming Xiong. 2021. Contrastive self-supervised sequential recommendation with robust augmentation. arXiv preprint arXiv:2108.06479(2021)."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463036"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330984"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403091"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"crossref","unstructured":"Pranava Madhyastha and Rishabh Jain. 2019. On model stability as a function of random seed. arXiv preprint arXiv:1909.10447(2019).","DOI":"10.18653\/v1\/K19-1087"},{"key":"e_1_3_2_2_42_1","volume-title":"ARERec: Attentive Local Interaction Model for Sequential Recommendation","author":"Padungkiatwattana Umaporn","unstructured":"Umaporn Padungkiatwattana, Thitiya Sae-Diae, Saranya Maneeroj, and Atsuhiro Takasu. 2022. ARERec: Attentive Local Interaction Model for Sequential Recommendation. IEEE Access."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080724"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3546785"},{"key":"e_1_3_2_2_45_1","volume-title":"Proc. WSDM WebTour. 41\u201345","author":"Petrov Aleksandr","year":"2021","unstructured":"Aleksandr Petrov and Yuriy Makarov. 2021. Attention-based neural re-ranking approach for next city in trip recommendations. In Proc. WSDM WebTour. 41\u201345."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"crossref","unstructured":"Michael Potter Hamlin Liu Yash Lala Christian Loanzon and Yizhou Sun. 2022. GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). (2022).","DOI":"10.1609\/aaai.v36i11.21651"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498433"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474267"},{"key":"e_1_3_2_2_49_1","volume-title":"Proc. CUAI. 452\u2013461","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 Proc. CUAI. 452\u2013461."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-91560-5_11"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.01.064"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"crossref","unstructured":"Xiaohai Tong Pengfei Wang Chenliang Li Long Xia and Shaozhang Niu. 2021. Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. In IJCAI.","DOI":"10.24963\/ijcai.2021\/220"},{"key":"e_1_3_2_2_56_1","volume-title":"From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. Neurocomputing","author":"Tran Quyen","year":"2022","unstructured":"Quyen Tran, Lam Tran, Linh\u00a0Chu Hai, Ngo Van\u00a0Linh, and Khoat Than. 2022. From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. Neurocomputing (2022)."},{"key":"e_1_3_2_2_57_1","volume-title":"Proc. NeurIPS. 5998\u20136008","author":"Vaswani Ashish","year":"2017","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 Proc. NeurIPS. 5998\u20136008."},{"key":"e_1_3_2_2_58_1","volume-title":"Sequential Recommendation with Multiple Contrast Signals. ACM Transactions on Information Systems (TOIS)","author":"Wang Chenyang","year":"2022","unstructured":"Chenyang Wang, Weizhi Ma, and Chong Chen. 2022. Sequential Recommendation with Multiple Contrast Signals. ACM Transactions on Information Systems (TOIS) (2022)."},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"crossref","unstructured":"Thomas Wolf Lysandre Debut Victor Sanh Julien Chaumond Clement Delangue Anthony Moi Pierric Cistac Tim Rault R\u00e9mi Louf Morgan Funtowicz 2019. Huggingface\u2019s transformers: State-of-the-art natural language processing. arXiv preprint arXiv:1910.03771(2019).","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482296"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290975"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474275"},{"key":"e_1_3_2_2_63_1","doi-asserted-by":"crossref","unstructured":"Zheni Zeng Chaojun Xiao Yuan Yao Ruobing Xie Zhiyuan Liu Fen Lin Leyu Lin and Maosong Sun. 2021. Knowledge transfer via pre-training for recommendation: A review and prospect. Frontiers in big Data(2021) 4.","DOI":"10.3389\/fdata.2021.602071"},{"key":"e_1_3_2_2_64_1","volume-title":"Proc","author":"Zhang Lingxiao","unstructured":"Lingxiao Zhang, Jiangpeng Yan, Yujiu Yang, and Li Xiu. 2020. Match4rec: A novel recommendation algorithm based on bidirectional encoder representation with the matching task. In Proc. ICONIP. Springer, 491\u2013503."},{"key":"e_1_3_2_2_65_1","doi-asserted-by":"crossref","unstructured":"Yixin Zhang Lizhen Cui Wei He Xudong Lu and Shipeng Wang. 2021. Behavioral data assists decisions: exploring the mental representation of digital-self. International Journal of Crowd Science(2021).","DOI":"10.1108\/IJCS-03-2021-0011"},{"key":"e_1_3_2_2_66_1","volume-title":"Proc. ICJAI.","author":"Zhao Pengyu","year":"2021","unstructured":"Pengyu Zhao, Tianxiao Shui, Yuanxing Zhang, Kecheng Xiao, and Kaigui Bian. 2021. Adversarial oracular seq2seq learning for sequential recommendation. In Proc. ICJAI."},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482016"},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467102"},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411954"}],"event":{"name":"RecSys '22: Sixteenth ACM Conference on Recommender Systems","location":"Seattle WA USA","acronym":"RecSys '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 16th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523227.3548487","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3523227.3548487","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:03:01Z","timestamp":1750186981000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523227.3548487"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,13]]},"references-count":69,"alternative-id":["10.1145\/3523227.3548487","10.1145\/3523227"],"URL":"https:\/\/doi.org\/10.1145\/3523227.3548487","relation":{},"subject":[],"published":{"date-parts":[[2022,9,13]]},"assertion":[{"value":"2022-09-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}