{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T22:50:52Z","timestamp":1753051852750,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591980","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:59Z","timestamp":1689726179000},"page":"1966-1970","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3937-7967","authenticated-orcid":false,"given":"Wanjie","family":"Tao","sequence":"first","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0779-8997","authenticated-orcid":false,"given":"Huihui","family":"Liu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0643-3934","authenticated-orcid":false,"given":"Xuqi","family":"Li","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3738-0073","authenticated-orcid":false,"given":"Qun","family":"Dai","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6924-2839","authenticated-orcid":false,"given":"Hong","family":"Wen","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0807-6889","authenticated-orcid":false,"given":"Zulong","family":"Chen","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203","author":"Bruna Joan","year":"2013","unstructured":"Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 (2013)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16516"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449909"},{"key":"e_1_3_2_2_4_1","unstructured":"Micha\u00ebl Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in neural information processing systems. 3844--3852."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781680835397"},{"key":"e_1_3_2_2_6_1","first-page":"1","article-title":"GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing","volume":"21","author":"Guo Jian","year":"2020","unstructured":"Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, et al . 2020. GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 21, 23 (2020), 1--7.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00167"},{"key":"e_1_3_2_2_8_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_2_9_1","volume-title":"et al","author":"Hou Zhenyu","year":"2022","unstructured":"Zhenyu Hou, Xiao Liu, Yuxiao Dong, Chunjie Wang, Jie Tang, et al . 2022. GraphMAE: Self-Supervised Masked Graph Autoencoders. arXiv preprint arXiv:2205.10803 (2022)."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3042064"},{"key":"e_1_3_2_2_11_1","volume-title":"Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising. In 2021 IEEE International Conference on Data Mining (ICDM). IEEE, 1156--1161","author":"Ke Wenwei","year":"2021","unstructured":"Wenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, S Yu Philip, and Xiaoqiang Zhu. 2021. Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising. In 2021 IEEE International Conference on Data Mining (ICDM). IEEE, 1156--1161."},{"key":"e_1_3_2_2_12_1","volume-title":"Deep learning for natural language processing: advantages and challenges. National Science Review","author":"Hang Li.","year":"2017","unstructured":"Hang Li. 2017. Deep learning for natural language processing: advantages and challenges. National Science Review (2017)."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16107"},{"key":"e_1_3_2_2_14_1","volume-title":"Hierarchical question-image co-attention for visual question answering. Advances in neural information processing systems 29","author":"Lu Jiasen","year":"2016","unstructured":"Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh. 2016. Hierarchical question-image co-attention for visual question answering. Advances in neural information processing systems 29 (2016)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412720"},{"key":"e_1_3_2_2_16_1","volume-title":"Steven Martin, and Dominique Quadri.","author":"Nguyen-Thanh Nhan","year":"2019","unstructured":"Nhan Nguyen-Thanh, Dana Marinca, Kinda Khawam, David Rohde, Flavian Vasile, Elena Simona Lohan, Steven Martin, and Dominique Quadri. 2019. Recommendation System-based Upper Confidence Bound for Online Advertising. arXiv preprint arXiv:1909.04190 (2019)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00670-y"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9377822"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412744"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1287\/moor.2014.0650"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481948"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531859"},{"key":"e_1_3_2_2_23_1","unstructured":"Wanjie Tao Yu Li Liangyue Li Zulong Chen Hong Wen Peilin Chen Tingting Liang and Quan Lu. 2021. SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. (2021)."},{"key":"e_1_3_2_2_24_1","unstructured":"Wanjie Tao Yu Li Liangyue Li Zulong Chen Hong Wen Peilin Chen Tingting Liang and Quan Lu. 2022. SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. In AAAI."},{"key":"e_1_3_2_2_25_1","volume-title":"Graph attention networks. arXiv preprint arXiv:1710.10903","author":"Velickovic Petar","year":"2017","unstructured":"Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)."},{"key":"e_1_3_2_2_26_1","volume-title":"Deep learning for computer vision: A brief review. Computational intelligence and neuroscience 2018","author":"Voulodimos Athanasios","year":"2018","unstructured":"Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis, and Eftychios Protopapadakis. 2018. Deep learning for computer vision: A brief review. Computational intelligence and neuroscience 2018 (2018)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219869"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449910"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"Xiao Wang Houye Ji Chuan Shi Bai Wang Yanfang Ye Peng Cui and Philip S Yu. 2019. Heterogeneous graph attention network. In The world wide web conference. 2022--2032.","DOI":"10.1145\/3308558.3313562"},{"key":"e_1_3_2_2_30_1","volume-title":"Towards Personalized Bundle Creative Generation with Contrastive Non- Autoregressive Decoding. arXiv preprint arXiv:2205.14970","author":"Wei Penghui","year":"2022","unstructured":"Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, and Bo Zheng. 2022. Towards Personalized Bundle Creative Generation with Contrastive Non- Autoregressive Decoding. arXiv preprint arXiv:2205.14970 (2022)."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401310"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3374217","article-title":"Adversarial attacks on deep-learning models in natural language processing: A survey","volume":"11","author":"Zhang Wei Emma","year":"2020","unstructured":"Wei Emma Zhang, Quan Z Sheng, Ahoud Alhazmi, and Chenliang Li. 2020. Adversarial attacks on deep-learning models in natural language processing: A survey. ACM Transactions on Intelligent Systems and Technology (TIST) 11, 3 (2020), 1--41.","journal-title":"ACM Transactions on Intelligent Systems and Technology (TIST)"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Taipei Taiwan","acronym":"SIGIR '23"},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591980","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591980","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:48Z","timestamp":1750178268000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591980"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":34,"alternative-id":["10.1145\/3539618.3591980","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591980","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}