{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T06:32:08Z","timestamp":1772519528099,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":69,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"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":["62276099"],"award-info":[{"award-number":["62276099"]}],"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":[[2023,10,21]]},"DOI":"10.1145\/3583780.3614773","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:45:42Z","timestamp":1697874342000},"page":"976-986","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":50,"title":["AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0835-9686","authenticated-orcid":false,"given":"Juyong","family":"Jiang","sequence":"first","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8691-1846","authenticated-orcid":false,"given":"Peiyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1794-3657","authenticated-orcid":false,"given":"Yingtao","family":"Luo","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9867-1712","authenticated-orcid":false,"given":"Chaozhuo","family":"Li","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5451-6617","authenticated-orcid":false,"given":"Jae Boum","family":"Kim","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3984-9957","authenticated-orcid":false,"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3615-4859","authenticated-orcid":false,"given":"Senzhang","family":"Wang","sequence":"additional","affiliation":[{"name":"Central South University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8608-8482","authenticated-orcid":false,"given":"Xing","family":"Xie","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4478-9720","authenticated-orcid":false,"given":"Sunghun","family":"Kim","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1033"},{"key":"e_1_3_2_1_2_1","volume-title":"Jamie Ryan Kiros, and Geoffrey E Hinton","author":"Ba Jimmy Lei","year":"2016","unstructured":"Jimmy Lei Ba , Jamie Ryan Kiros, and Geoffrey E Hinton . 2016 . Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326937.3341261"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00113"},{"key":"e_1_3_2_1_5_1","volume-title":"MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. In Fourteenth ACM Conference on Recommender Systems. 515--520","author":"Cho Sung Min","year":"2020","unstructured":"Sung Min Cho , Eunhyeok Park , and Sungjoo Yoo . 2020 . MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. In Fourteenth ACM Conference on Recommender Systems. 515--520 . Sung Min Cho, Eunhyeok Park, and Sungjoo Yoo. 2020. MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. In Fourteenth ACM Conference on Recommender Systems. 515--520."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959185"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2881260"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079628.3079670"},{"key":"e_1_3_2_1_9_1","volume-title":"Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth. arXiv preprint arXiv:2103.03404","author":"Dong Yihe","year":"2021","unstructured":"Yihe Dong , Jean-Baptiste Cordonnier , and Andreas Loukas . 2021. Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth. arXiv preprint arXiv:2103.03404 ( 2021 ). Yihe Dong, Jean-Baptiste Cordonnier, and Andreas Loukas. 2021. Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth. arXiv preprint arXiv:2103.03404 (2021)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417834"},{"key":"e_1_3_2_1_11_1","volume-title":"International Conference on Machine Learning. PMLR, 3800--3809","author":"Gu Albert","year":"2020","unstructured":"Albert Gu , Caglar Gulcehre , Thomas Paine , Matt Hoffman , and Razvan Pascanu . 2020 . Improving the gating mechanism of recurrent neural networks . In International Conference on Machine Learning. PMLR, 3800--3809 . Albert Gu, Caglar Gulcehre, Thomas Paine, Matt Hoffman, and Razvan Pascanu. 2020. Improving the gating mechanism of recurrent neural networks. In International Conference on Machine Learning. PMLR, 3800--3809."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557314"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3295822"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109882"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0030"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371776"},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of Fourth International Conference on Learning Representations (ICLR'16)","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 Proceedings of Fourth International Conference on Learning Representations (ICLR'16) . Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based recommendations with recurrent neural networks. In Proceedings of Fourth International Conference on Learning Representations (ICLR'16)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531955"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269278"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Liang Hu Longbing Cao Shoujin Wang Guandong Xu Jian Cao and Zhiping Gu. 2017. Diversifying Personalized Recommendation with User-session Context.. In IJCAI. 1858--1864. Liang Hu Longbing Cao Shoujin Wang Guandong Xu Jian Cao and Zhiping Gu. 2017. Diversifying Personalized Recommendation with User-session Context.. In IJCAI. 1858--1864.","DOI":"10.24963\/ijcai.2017\/258"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3382180","article-title":"Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network","volume":"16","author":"Huang Xiaowen","year":"2020","unstructured":"Xiaowen Huang , Shengsheng Qian , Quan Fang , Jitao Sang , and Changsheng Xu . 2020 . Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network . ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , Vol. 16 , 2 (2020), 1 -- 24 . Xiaowen Huang, Shengsheng Qian, Quan Fang, Jitao Sang, and Changsheng Xu. 2020. Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 16, 2 (2020), 1--24.","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5854"},{"key":"e_1_3_2_1_26_1","volume-title":"Kai Zhang, and Sunghun Kim.","author":"Jiang Juyong","year":"2021","unstructured":"Juyong Jiang , Yingtao Luo , Jae Boum Kim , Kai Zhang, and Sunghun Kim. 2021 . Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer . arXiv preprint arXiv:2112.06460 (2021). Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, and Sunghun Kim. 2021. Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. arXiv preprint arXiv:2112.06460 (2021)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358054"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462926"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371786"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412247"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380138"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.12.087"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0135"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9971"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219950"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3379999"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449998"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330984"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5945"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_45_1","volume-title":"Local-Global Memory Neural Network for Medication Prediction","author":"Song Jun","year":"2020","unstructured":"Jun Song , Yueyang Wang , Siliang Tang , Yin Zhang , Zhigang Chen , Zhongfei Zhang , Tong Zhang , and Fei Wu. 2020. Local-Global Memory Neural Network for Medication Prediction . IEEE transactions on neural networks and learning systems ( 2020 ). Jun Song, Yueyang Wang, Siliang Tang, Yin Zhang, Zhigang Chen, Zhongfei Zhang, Tong Zhang, and Fei Wu. 2020. Local-Global Memory Neural Network for Medication Prediction. IEEE transactions on neural networks and learning systems (2020)."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441811"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_50_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008. Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401133"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3555372","article-title":"An adaptive graph pre-training framework for localized collaborative filtering","volume":"41","author":"Wang Yiqi","year":"2022","unstructured":"Yiqi Wang , Chaozhuo Li , Zheng Liu , Mingzheng Li , Jiliang Tang , Xing Xie , Lei Chen , and Philip S Yu . 2022 . An adaptive graph pre-training framework for localized collaborative filtering . ACM Transactions on Information Systems , Vol. 41 , 2 (2022), 1 -- 27 . Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, and Philip S Yu. 2022. An adaptive graph pre-training framework for localized collaborative filtering. ACM Transactions on Information Systems, Vol. 41, 2 (2022), 1--27.","journal-title":"ACM Transactions on Information Systems"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412258"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498371"},{"key":"e_1_3_2_1_56_1","first-page":"3940","article-title":"Graph Contextualized Self-Attention Network for Session-based Recommendation","volume":"19","author":"Xu Chengfeng","year":"2019","unstructured":"Chengfeng Xu , Pengpeng Zhao , Yanchi Liu , Victor S Sheng , Jiajie Xu , Fuzhen Zhuang , Junhua Fang , and Xiaofang Zhou . 2019 a. Graph Contextualized Self-Attention Network for Session-based Recommendation .. In IJCAI , Vol. 19. 3940 -- 3946 . Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, and Xiaofang Zhou. 2019a. Graph Contextualized Self-Attention Network for Session-based Recommendation.. In IJCAI, Vol. 19. 3940--3946.","journal-title":"IJCAI"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313408"},{"key":"e_1_3_2_1_58_1","volume-title":"ECAI","author":"Xu Yong","year":"2020","unstructured":"Yong Xu , Jiahui Chen , Chao Huang , Bo Zhang , Hao Xing , Peng Dai , and Liefeng Bo. 2020. Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation . In ECAI 2020 . IOS Press , 545--552. Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, and Liefeng Bo. 2020. Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. In ECAI 2020. IOS Press, 545--552."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914683"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401319"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015709"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"crossref","unstructured":"Zeping Yu Jianxun Lian Ahmad Mahmoody Gongshen Liu and Xing Xie. 2019a. Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.. In IJCAI. 4213--4219. Zeping Yu Jianxun Lian Ahmad Mahmoody Gongshen Liu and Xing Xie. 2019a. Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.. In IJCAI. 4213--4219.","DOI":"10.24963\/ijcai.2019\/585"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290975"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570445"},{"key":"e_1_3_2_1_65_1","volume-title":"A Survey on Incremental Update for Neural Recommender Systems. arXiv preprint arXiv:2303.02851","author":"Zhang Peiyan","year":"2023","unstructured":"Peiyan Zhang and Sunghun Kim . 2023. A Survey on Incremental Update for Neural Recommender Systems. arXiv preprint arXiv:2303.02851 ( 2023 ). Peiyan Zhang and Sunghun Kim. 2023. A Survey on Incremental Update for Neural Recommender Systems. arXiv preprint arXiv:2303.02851 (2023)."},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983873"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3285029"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591642"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","location":"Birmingham United Kingdom","acronym":"CIKM '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614773","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3614773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:31Z","timestamp":1750178791000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614773"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":69,"alternative-id":["10.1145\/3583780.3614773","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3614773","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}