{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T20:33:31Z","timestamp":1785443611780,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSFC","award":["61532001"],"award-info":[{"award-number":["61532001"]}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018AAA0101902"],"award-info":[{"award-number":["2018AAA0101902"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,2,27]]},"DOI":"10.1145\/3539597.3570445","type":"proceedings-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T23:27:00Z","timestamp":1677108420000},"page":"168-176","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":111,"title":["Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8691-1846","authenticated-orcid":false,"given":"Peiyan","family":"Zhang","sequence":"first","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7741-1153","authenticated-orcid":false,"given":"Jiayan","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Intelligence Science and Technology, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9867-1712","authenticated-orcid":false,"given":"Chaozhuo","family":"Li","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5169-3180","authenticated-orcid":false,"given":"Yueqi","family":"Xie","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"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 & Upstage, Yongin-si, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4003-0290","authenticated-orcid":false,"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Intelligence Science and Technology, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8608-8482","authenticated-orcid":false,"given":"Xing","family":"Xie","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1826-4069","authenticated-orcid":false,"given":"Haohan","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Champaign, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8002-2485","authenticated-orcid":false,"given":"Sunghun","family":"Kim","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109912"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-018-9654-y"},{"key":"e_1_3_2_2_3_1","volume-title":"Bias and Debias in Recommender System: A Survey and Future Directions. arXiv preprint arXiv:2010.03240","author":"Chen Jiawei","year":"2020","unstructured":"Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey and Future Directions. arXiv preprint arXiv:2010.03240 (2020)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00113"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403170"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450005"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2013.120"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3501396"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557314"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330839"},{"key":"e_1_3_2_2_11_1","volume-title":"NISER: Normalized item and session representations to handle popularity bias. arXiv preprint arXiv:1909.04276","author":"Gupta Priyanka","year":"2019","unstructured":"Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, and Gautam Shroff. 2019. NISER: Normalized item and session representations to handle popularity bias. arXiv preprint arXiv:1909.04276 (2019)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482071"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330838"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.5127\/jep.017711"},{"key":"e_1_3_2_2_15_1","unstructured":"Bal\u00e1zs Hidasi Alexandros Karatzoglou L. Baltrunas and D. Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. CoRR Vol. abs\/1511.06939 (2016)."},{"key":"e_1_3_2_2_16_1","volume-title":"International Conference on Machine Learning","author":"Huang Zhongyu","year":"2022","unstructured":"Zhongyu Huang, Yingheng Wang, Chaozhuo Li, and Huiguang He. 2022. Going Deeper into Permutation-Sensitive Graph Neural Networks. International Conference on Machine Learning (2022)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1080\/09548980701418942"},{"key":"e_1_3_2_2_18_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_19_1","volume-title":"Variational dropout and the local reparameterization trick. Advances in neural information processing systems","author":"Kingma Durk P","year":"2015","unstructured":"Durk P Kingma, Tim Salimans, and Max Welling. 2015. Variational dropout and the local reparameterization trick. Advances in neural information processing systems, Vol. 28 (2015)."},{"key":"e_1_3_2_2_20_1","volume-title":"AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. SIGIR","author":"Li Chaozhuo","year":"2021","unstructured":"Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, and Qi Zhang. 2021. AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. SIGIR (2021)."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"e_1_3_2_2_22_1","volume-title":"Gated graph sequence neural networks. arXiv preprint arXiv:1511.05493","author":"Li Yujia","year":"2015","unstructured":"Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard Zemel. 2015. Gated graph sequence neural networks. arXiv preprint arXiv:1511.05493 (2015)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219950"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412222"},{"key":"e_1_3_2_2_25_1","volume-title":"International Conference on Machine Learning. PMLR, 2498--2507","author":"Molchanov Dmitry","year":"2017","unstructured":"Dmitry Molchanov, Arsenii Ashukha, and Dmitry Vetrov. 2017. Variational dropout sparsifies deep neural networks. In International Conference on Machine Learning. PMLR, 2498--2507."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412014"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358010"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014806"},{"key":"e_1_3_2_2_29_1","unstructured":"R. Srivastava Klaus Greff and J. Schmidhuber. 2015. Highway Networks. ArXiv Vol. abs\/1505.00387 (2015)."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_2_31_1","volume-title":"Attention is all you need. Advances in neural information processing systems","author":"Vaswani Ashish","year":"2017","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. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_2_32_1","volume-title":"PA-GGAN: Session-Based Recommendation with Position-Aware Gated Graph Attention Network. 2020 IEEE International Conference on Multimedia and Expo (ICME)","author":"Wang Jinshan","year":"2020","unstructured":"Jinshan Wang, Qianfang Xu, Jiahuan Lei, Chaoqun Lin, and Bo Xiao. 2020c. PA-GGAN: Session-Based Recommendation with Position-Aware Gated Graph Attention Network. 2020 IEEE International Conference on Multimedia and Expo (ICME) (2020), 1--6."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3440207"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512083"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401142"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401142"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"crossref","unstructured":"S. Wu Y. Tang Yanqiao Zhu L. Wang X. Xie and T. Tan. 2019. Session-based Recommendation with Graph Neural Networks. In AAAI.","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16578"},{"key":"e_1_3_2_2_39_1","volume-title":"Decoupled Side Information Fusion for Sequential Recommendation. arXiv preprint arXiv:2204.11046","author":"Xie Yueqi","year":"2022","unstructured":"Yueqi Xie, Peilin Zhou, and Sunghun Kim. 2022. Decoupled Side Information Fusion for Sequential Recommendation. arXiv preprint arXiv:2204.11046 (2022)."},{"key":"e_1_3_2_2_40_1","unstructured":"Chengfeng Xu Pengpeng Zhao Yanchi Liu V. Sheng J. Xu Fuzhen Zhuang J. Fang and X. Zhou. 2019. Graph Contextualized Self-Attention Network for Session-based Recommendation. In IJCAI."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401319"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290975"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16593"},{"key":"e_1_3_2_2_44_1","volume-title":"Deep sets. Advances in neural information processing systems","author":"Zaheer Manzil","year":"2017","unstructured":"Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabas Poczos, Russ R Salakhutdinov, and Alexander J Smola. 2017. Deep sets. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449788"},{"key":"e_1_3_2_2_46_1","volume-title":"Equivariant Contrastive Learning for Sequential Recommendation. arXiv preprint arXiv:2211.05290","author":"Zhou Peilin","year":"2022","unstructured":"Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, and Sunghun Kim. 2022. Equivariant Contrastive Learning for Sequential Recommendation. arXiv preprint arXiv:2211.05290 (2022)."}],"event":{"name":"WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining","location":"Singapore Singapore","acronym":"WSDM '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570445","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539597.3570445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:14Z","timestamp":1750186934000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,27]]},"references-count":46,"alternative-id":["10.1145\/3539597.3570445","10.1145\/3539597"],"URL":"https:\/\/doi.org\/10.1145\/3539597.3570445","relation":{},"subject":[],"published":{"date-parts":[[2023,2,27]]},"assertion":[{"value":"2023-02-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}