{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:18:48Z","timestamp":1783153128052,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":108,"publisher":"ACM","funder":[{"name":"Collaborative Research: III: Small: Towards A Computational Foundation of Teams Network Science","award":["2433308"],"award-info":[{"award-number":["2433308"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792483","type":"proceedings-article","created":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T12:38:33Z","timestamp":1777293513000},"page":"6469-6480","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7334-3820","authenticated-orcid":false,"given":"Xiao","family":"Lin","sequence":"first","affiliation":[{"name":"UIUC, Urbana, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9628-5310","authenticated-orcid":false,"given":"Zhicheng","family":"Tang","sequence":"additional","affiliation":[{"name":"Meta, Sunnyvale, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8726-3238","authenticated-orcid":false,"given":"Weilin","family":"Cong","sequence":"additional","affiliation":[{"name":"Meta, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4125-2135","authenticated-orcid":false,"given":"Mengyue","family":"Hang","sequence":"additional","affiliation":[{"name":"Meta, Sunnyvale, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5102-6217","authenticated-orcid":false,"given":"Kai","family":"Wang","sequence":"additional","affiliation":[{"name":"Meta, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5600-8165","authenticated-orcid":false,"given":"Yajuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Meta, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5534-3401","authenticated-orcid":false,"given":"Zhichen","family":"Zeng","sequence":"additional","affiliation":[{"name":"UIUC, Urbana, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3160-6417","authenticated-orcid":false,"given":"Ting-Wei","family":"Li","sequence":"additional","affiliation":[{"name":"UIUC, Urbana, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5253-5646","authenticated-orcid":false,"given":"Hyunsik","family":"Yoo","sequence":"additional","affiliation":[{"name":"UIUC, Urbana, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1828-2109","authenticated-orcid":false,"given":"Zhining","family":"Liu","sequence":"additional","affiliation":[{"name":"UIUC, Urbana, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3521-6634","authenticated-orcid":false,"given":"Xuying","family":"Ning","sequence":"additional","affiliation":[{"name":"UIUC, Urbana, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3253-8890","authenticated-orcid":false,"given":"Ruizhong","family":"Qiu","sequence":"additional","affiliation":[{"name":"UIUC, Urbana, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9371-5642","authenticated-orcid":false,"given":"Wen-Yen","family":"Chen","sequence":"additional","affiliation":[{"name":"Meta, Sunnyvale, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8016-9506","authenticated-orcid":false,"given":"Shuo","family":"Chang","sequence":"additional","affiliation":[{"name":"Meta, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8797-4646","authenticated-orcid":false,"given":"Rong","family":"Jin","sequence":"additional","affiliation":[{"name":"Meta, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2659-0833","authenticated-orcid":false,"given":"Huayu","family":"Li","sequence":"additional","affiliation":[{"name":"Meta, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4405-3887","authenticated-orcid":false,"given":"Hanghang","family":"Tong","sequence":"additional","affiliation":[{"name":"UIUC, Urbana, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3690624.3709196"},{"key":"e_1_3_2_1_2_1","volume-title":"Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities. arXiv preprint arXiv:2506","author":"Bei Yuanchen","year":"2025","unstructured":"Yuanchen Bei, Weizhi Zhang, Siwen Wang, Weizhi Chen, Sheng Zhou, Hao Chen, Yong Li, et al., 2025. Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities. arXiv preprint arXiv:2506.18019 (2025)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614978"},{"key":"e_1_3_2_1_4_1","volume-title":"LightGCL: Simple yet effective graph contrastive learning for recommendation. arXiv preprint arXiv:2302.08191","author":"Cai Xuheng","year":"2023","unstructured":"Xuheng Cai, Chao Huang, Lianghao Xia, and Xubin Ren. 2023. LightGCL: Simple yet effective graph contrastive learning for recommendation. arXiv preprint arXiv:2302.08191 (2023)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557082"},{"key":"e_1_3_2_1_6_1","volume-title":"How smooth is attention? arXiv preprint arXiv:2312.14820","author":"Castin Val\u00e9rie","year":"2023","unstructured":"Val\u00e9rie Castin, Pierre Ablin, and Gabriel Peyr\u00e9. 2023. How smooth is attention? arXiv preprint arXiv:2312.14820 (2023)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3705328.3748065"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401198"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462968"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599922"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645517"},{"key":"e_1_3_2_1_12_1","first-page":"26924","article-title":"Curriculum disentangled recommendation with noisy multi-feedback","volume":"34","author":"Chen Hong","year":"2021","unstructured":"Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, et al., 2021. Curriculum disentangled recommendation with noisy multi-feedback. NeurIPS, Vol. 34 (2021), 26924-26936.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240617"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159668"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512090"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2507"},{"key":"e_1_3_2_1_19_1","volume-title":"Multi-intent-aware Session-based Recommendation. arXiv preprint arXiv:2405.00986","author":"Choi Minjin","year":"2024","unstructured":"Minjin Choi, Hye-young Kim, Hyunsouk Cho, and Jongwuk Lee. 2024. Multi-intent-aware Session-based Recommendation. arXiv preprint arXiv:2405.00986 (2024)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_21_1","volume-title":"Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models. arXiv preprint arXiv:2401.06066","author":"Dai Damai","year":"2024","unstructured":"Damai Dai, Chengqi Deng, Chenggang Zhao, RX Xu, et al., 2024. Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models. arXiv preprint arXiv:2401.06066 (2024)."},{"key":"e_1_3_2_1_22_1","volume-title":"International Conference on Machine Learning. PMLR, 5547-5569","author":"Du Nan","year":"2022","unstructured":"Nan Du, Yanping Huang, Andrew M Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, et al., 2022. Glam: Efficient scaling of language models with mixture-of-experts. In International Conference on Machine Learning. PMLR, 5547-5569."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Wenqi Fan Yao Ma Qing Li Yuan He Eric Zhao Jiliang Tang and Dawei Yin. 2019. Graph neural networks for social recommendation. In The world wide web conference. 417-426.","DOI":"10.1145\/3308558.3313488"},{"key":"e_1_3_2_1_24_1","first-page":"1","article-title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity","volume":"23","author":"Fedus William","year":"2022","unstructured":"William Fedus, Barret Zoph, and Noam Shazeer. 2022. Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity. Journal of Machine Learning Research, Vol. 23, 120 (2022), 1-39.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3546767"},{"key":"e_1_3_2_1_26_1","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247 (2017)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498524"},{"key":"e_1_3_2_1_28_1","first-page":"29335","article-title":"Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning","volume":"34","author":"Hazimeh Hussein","year":"2021","unstructured":"Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, et al., 2021. Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning. NeurIPS, Vol. 34 (2021), 29335-29347.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_30_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. 2015a. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_31_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. 2015b. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539381"},{"key":"e_1_3_2_1_33_1","volume-title":"Adaptive mixtures of local experts. Neural computation","author":"Jacobs Robert A","year":"1991","unstructured":"Robert A Jacobs, Michael I Jordan, Steven J Nowlan, and Geoffrey E Hinton. 1991. Adaptive mixtures of local experts. Neural computation, Vol. 3, 1 (1991), 79-87."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_37_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_38_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf TN","year":"2016","unstructured":"TN Kipf. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_1_39_1","volume-title":"Proceedings of ECML2000 workshop: machine learning in new information age. 39-46","author":"Koychev Ivan","year":"2000","unstructured":"Ivan Koychev and Ingo Schwab. 2000. Adaptation to drifting user's interests. In Proceedings of ECML2000 workshop: machine learning in new information age. 39-46."},{"key":"e_1_3_2_1_40_1","first-page":"1","article-title":"EB-NeRD a large-scale dataset for news recommendation","volume":"2024","author":"Kruse Johannes","year":"2024","unstructured":"Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, et al., 2024. EB-NeRD a large-scale dataset for news recommendation. In Proceedings of the Recommender Systems Challenge 2024. 1-11.","journal-title":"Proceedings of the Recommender Systems Challenge"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.5555\/367904.367923"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/243199.243279"},{"key":"e_1_3_2_1_43_1","unstructured":"Gyuseok Lee Yaokun Liu Yifan Liu Susik Yoon et al. 2025. Session-Based Recommendation with Validated and Enriched LLM Intents. arXiv preprint arXiv:2508.00570 (2025)."},{"key":"e_1_3_2_1_44_1","volume-title":"Gshard: Scaling giant models with conditional computation and automatic sharding. arXiv preprint arXiv:2006.16668","author":"Lepikhin Dmitry","year":"2020","unstructured":"Dmitry Lepikhin, HyoukJoong Lee, Yuanzhong Xu, Dehao Chen, Orhan Firat, Yanping Huang, Maxim Krikun, Noam Shazeer, and Zhifeng Chen. 2020. Gshard: Scaling giant models with conditional computation and automatic sharding. arXiv preprint arXiv:2006.16668 (2020)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401238"},{"key":"e_1_3_2_1_46_1","volume-title":"FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction. arXiv preprint arXiv:2407.13349","author":"Li Honghao","year":"2024","unstructured":"Honghao Li, Yiwen Zhang, Yi Zhang, Hanwei Li, Lei Sang, and Jieming Zhu. 2024a. FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction. arXiv preprint arXiv:2407.13349 (2024)."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671915"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350950"},{"key":"e_1_3_2_1_50_1","volume-title":"Learning on Graphs Conference. PMLR, 37-1.","author":"Lin Xiao","year":"2024","unstructured":"Xiao Lin, Jian Kang, Weilin Cong, and Hanghang Tong. 2024a. Bemap: Balanced message passing for fair graph neural network. In Learning on Graphs Conference. PMLR, 37-1."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-4174"},{"key":"e_1_3_2_1_52_1","volume-title":"Cats: Mitigating correlation shift for multivariate time series classification. arXiv preprint arXiv:2504.04283","author":"Lin Xiao","year":"2025","unstructured":"Xiao Lin, Zhichen Zeng, Tianxin Wei, Zhining Liu, et al., 2025. Cats: Mitigating correlation shift for multivariate time series classification. arXiv preprint arXiv:2504.04283 (2025)."},{"key":"e_1_3_2_1_53_1","volume-title":"Mamba4rec: Towards efficient sequential recommendation with selective state space models. arXiv preprint arXiv:2403.03900","author":"Liu Chengkai","year":"2024","unstructured":"Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, and James Caverlee. 2024b. Mamba4rec: Towards efficient sequential recommendation with selective state space models. arXiv preprint arXiv:2403.03900 (2024)."},{"key":"e_1_3_2_1_54_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Liu Xin","year":"2024","unstructured":"Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, et al., 2024a. Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301216"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220007"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3731936"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482291"},{"key":"e_1_3_2_1_59_1","volume-title":"Graph4MM: Weaving multimodal learning with structural information. arXiv preprint arXiv:2510.16990","author":"Ning Xuying","year":"2025","unstructured":"Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, and Jingrui He. 2025. Graph4MM: Weaving multimodal learning with structural information. arXiv preprint arXiv:2510.16990 (2025)."},{"key":"e_1_3_2_1_60_1","volume-title":"ICML 2024 Workshop on Theoretical Foundations of Foundation Models.","author":"Nishikawa Naoki","year":"2024","unstructured":"Naoki Nishikawa and Taiji Suzuki. 2024. State Space Models are Comparable to Transformers in Estimating Functions with Dynamic Smoothness. In ICML 2024 Workshop on Theoretical Foundations of Foundation Models."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3669940.3707272"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3719344"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403359"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498433"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_66_1","volume-title":"Heterogeneous graph neural network for recommendation. arXiv preprint arXiv:2009.00799","author":"Shi Jinghan","year":"2020","unstructured":"Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, and Jun Zhou. 2020. Heterogeneous graph neural network for recommendation. arXiv preprint arXiv:2009.00799 (2020)."},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403137"},{"key":"e_1_3_2_1_68_1","volume-title":"Mlsa4rec: Mamba combined with low-rank decomposed self-attention for sequential recommendation. arXiv preprint arXiv:2407.13135","author":"Su Jinzhao","year":"2024","unstructured":"Jinzhao Su and Zhenhua Huang. 2024. Mlsa4rec: Mamba combined with low-rank decomposed self-attention for sequential recommendation. arXiv preprint arXiv:2407.13135 (2024)."},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412236"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_73_1","volume-title":"NeurIPS","volume":"30","author":"Den Oord Aaron Van","year":"2017","unstructured":"Aaron Van Den Oord, Oriol Vinyals, et al., 2017. Neural discrete representation learning. NeurIPS, Vol. 30 (2017)."},{"key":"e_1_3_2_1_74_1","unstructured":"Petar Veli\u010dkovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero et al. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)."},{"key":"e_1_3_2_1_75_1","volume-title":"Recurrent neural networks for long and short-term sequential recommendation. arXiv preprint arXiv:1807.09142","author":"Villatel Kiewan","year":"2018","unstructured":"Kiewan Villatel, Elena Smirnova, J\u00e9r\u00e9mie Mary, and Philippe Preux. 2018. Recurrent neural networks for long and short-term sequential recommendation. arXiv preprint arXiv:1807.09142 (2018)."},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976700.10"},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIBA50161.2020.9277337"},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411996"},{"key":"e_1_3_2_1_79_1","volume-title":"Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. In The Twelfth International Conference on Learning Representations.","author":"Wei Tianxin","unstructured":"Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, et al., [n.d.]. Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_80_1","unstructured":"Tianxin Wei Xuying Ning Xuxing Chen et al. 2025a. Coarse-to-Fine Tokenization for Generative Recommendation. arXiv preprint arXiv:2511.22707 (2025)."},{"key":"e_1_3_2_1_81_1","unstructured":"Tianxin Wei Noveen Sachdeva Benjamin Coleman et al. 2025b. Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory. arXiv preprint arXiv:2511.20857 (2025)."},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00075"},{"key":"e_1_3_2_1_83_1","volume-title":"Augmentations in hypergraph contrastive learning: Fabricated and generative. Advances in neural information processing systems","author":"Wei Tianxin","year":"2022","unstructured":"Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, and Zhangyang Wang. 2022. Augmentations in hypergraph contrastive learning: Fabricated and generative. Advances in neural information processing systems, Vol. 35 (2022), 1909-1922."},{"key":"e_1_3_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599918"},{"key":"e_1_3_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00099"},{"key":"e_1_3_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/547"},{"key":"e_1_3_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-70341-6_10"},{"key":"e_1_3_2_1_89_1","volume-title":"Instructagent: Building user controllable recommender via llm agent. arXiv preprint arXiv:2502.14662","author":"Xu Wujiang","year":"2025","unstructured":"Wujiang Xu, Yunxiao Shi, Zujie Liang, et al., 2025a. Instructagent: Building user controllable recommender via llm agent. arXiv preprint arXiv:2502.14662 (2025)."},{"key":"e_1_3_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.1145\/3690624.3709438"},{"key":"e_1_3_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.1145\/3690624.3709438"},{"key":"e_1_3_2_1_92_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583361"},{"key":"e_1_3_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2022.e11145"},{"key":"e_1_3_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1145\/3690624.3709299"},{"key":"e_1_3_2_1_95_1","first-page":"913","article-title":"XSimGCL: Towards extremely simple graph contrastive learning for recommendation","volume":"36","author":"Yu Junliang","year":"2023","unstructured":"Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, and Hongzhi Yin. 2023. XSimGCL: Towards extremely simple graph contrastive learning for recommendation. IEEE Transactions on Knowledge and Data Engineering, Vol. 36, 2 (2023), 913-926.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_96_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635760"},{"key":"e_1_3_2_1_97_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570445"},{"key":"e_1_3_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1145\/3696410.3714676"},{"key":"e_1_3_2_1_99_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512094"},{"key":"e_1_3_2_1_100_1","first-page":"4320","article-title":"Feature-level deeper self-attention network for sequential recommendation","author":"Zhang Tingting","year":"2019","unstructured":"Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S Sheng, et al., 2019. Feature-level deeper self-attention network for sequential recommendation.. In IJCAI. 4320-4326.","journal-title":"IJCAI."},{"key":"e_1_3_2_1_101_1","volume-title":"Henry Peng Zou, et al","author":"Zhang Weizhi","year":"2025","unstructured":"Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, et al., 2025a. Cold-start recommendation towards the era of large language models (llms): A comprehensive survey and roadmap. arXiv preprint arXiv:2501.01945 (2025)."},{"key":"e_1_3_2_1_102_1","volume-title":"Deep learning for click-through rate estimation. arXiv preprint arXiv:2104.10584","author":"Zhang Weinan","year":"2021","unstructured":"Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, and Xiuqiang He. 2021. Deep learning for click-through rate estimation. arXiv preprint arXiv:2104.10584 (2021)."},{"key":"e_1_3_2_1_103_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671569"},{"key":"e_1_3_2_1_104_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346997"},{"key":"e_1_3_2_1_105_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_1_106_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_1_107_1","first-page":"7103","article-title":"Mixture-of-experts with expert choice routing","volume":"35","author":"Zhou Yanqi","year":"2022","unstructured":"Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M Dai, Quoc V Le, James Laudon, et al., 2022. Mixture-of-experts with expert choice routing. NeurIPS, Vol. 35 (2022), 7103-7114.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_108_1","first-page":"2912","article-title":"Bars: Towards open benchmarking for recommender systems","author":"Zhu Jieming","year":"2022","unstructured":"Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, and Rui Zhang. 2022. Bars: Towards open benchmarking for recommender systems. In SIGIR. 2912-2923.","journal-title":"SIGIR."}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774904.3792483","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T07:51:39Z","timestamp":1783151499000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792483"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":108,"alternative-id":["10.1145\/3774904.3792483","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792483","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}