{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T16:03:44Z","timestamp":1759939424144,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T00:00:00Z","timestamp":1691107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176014"],"award-info":[{"award-number":["62176014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021ZD0113602"],"award-info":[{"award-number":["2021ZD0113602"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020593","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100020593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,8,6]]},"DOI":"10.1145\/3580305.3599866","type":"proceedings-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T18:13:58Z","timestamp":1691172838000},"page":"5628-5638","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Modeling Dual Period-Varying Preferences for Takeaway Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8698-6142","authenticated-orcid":false,"given":"Yuting","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8068-9420","authenticated-orcid":false,"given":"Yiqing","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6010-6781","authenticated-orcid":false,"given":"Ran","family":"Le","sequence":"additional","affiliation":[{"name":"Meituan, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7096-3190","authenticated-orcid":false,"given":"Yongchun","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9170-7009","authenticated-orcid":false,"given":"Fuzhen","family":"Zhuang","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9298-1584","authenticated-orcid":false,"given":"Ruidong","family":"Han","sequence":"additional","affiliation":[{"name":"Meituan, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2834-8765","authenticated-orcid":false,"given":"Xiang","family":"Li","sequence":"additional","affiliation":[{"name":"Unaffiliated, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2851-820X","authenticated-orcid":false,"given":"Wei","family":"Lin","sequence":"additional","affiliation":[{"name":"Unaffiliated, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7593-8293","authenticated-orcid":false,"given":"Zhulin","family":"An","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6647-0986","authenticated-orcid":false,"given":"Yongjun","family":"Xu","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,4]]},"reference":[{"volume-title":"Number of users of the online food delivery market worldwide in 2022 and","year":"2027","key":"e_1_3_2_2_1_1","unstructured":"2023. Number of users of the online food delivery market worldwide in 2022 and 2027 , by region. https:\/\/www.statista.com\/forecasts\/1358171\/online-food- delivery-users-by-region-worldwide. 2023. Number of users of the online food delivery market worldwide in 2022 and 2027, by region. https:\/\/www.statista.com\/forecasts\/1358171\/online-food- delivery-users-by-region-worldwide."},{"key":"e_1_3_2_2_2_1","volume-title":"Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263","author":"van den Berg Rianne","year":"2017","unstructured":"Rianne van den Berg , Thomas N Kipf , and Max Welling . 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 ( 2017 ). Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186070"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3373807","article-title":"Efficient neural matrix factorization without sampling for recommendation","volume":"38","author":"Chen Chong","year":"2020","unstructured":"Chong Chen , Min Zhang , Yongfeng Zhang , Yiqun Liu , and Shaoping Ma . 2020 . Efficient neural matrix factorization without sampling for recommendation . ACM Transactions on Information Systems (TOIS) , Vol. 38 , 2 (2020), 1 -- 28 . Chong Chen, Min Zhang, Yongfeng Zhang, Yiqun Liu, and Shaoping Ma. 2020. Efficient neural matrix factorization without sampling for recommendation. ACM Transactions on Information Systems (TOIS), Vol. 38, 2 (2020), 1--28.","journal-title":"ACM Transactions on Information Systems (TOIS)"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186183"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781601984432"},{"key":"e_1_3_2_2_7_1","volume-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11)","author":"Ferri Cesar","year":"2011","unstructured":"Cesar Ferri , Jos\u00e9 Hern\u00e1ndez-Orallo , and Peter A Flach . 2011 . A coherent interpretation of AUC as a measure of aggregated classification performance . In Proceedings of the 28th International Conference on Machine Learning (ICML-11) . 657--664. Cesar Ferri, Jos\u00e9 Hern\u00e1ndez-Orallo, and Peter A Flach. 2011. A coherent interpretation of AUC as a measure of aggregated classification performance. In Proceedings of the 28th International Conference on Machine Learning (ICML-11). 657--664."},{"key":"e_1_3_2_2_8_1","volume-title":"Inductive representation learning on large graphs. Advances in neural information processing systems","author":"Hamilton Will","year":"2017","unstructured":"Will Hamilton , Zhitao Ying , and Jure Leskovec . 2017. Inductive representation learning on large graphs. Advances in neural information processing systems , Vol. 30 ( 2017 ). Will Hamilton, Zhitao Ying, and Jure Leskovec. 2017. Inductive representation learning on large graphs. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"e_1_3_2_2_13_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling . 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 ( 2016 ). Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539122"},{"key":"e_1_3_2_2_16_1","volume-title":"Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services. arXiv preprint arXiv:2209.09427","author":"Lin Shaochuan","year":"2022","unstructured":"Shaochuan Lin , Yicong Yu , Xiyu Ji , Taotao Zhou , Hengxu He , Zisen Sang , Jia Jia , Guodong Cao , and Ning Hu. 2022. Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services. arXiv preprint arXiv:2209.09427 ( 2022 ). Shaochuan Lin, Yicong Yu, Xiyu Ji, Taotao Zhou, Hengxu He, Zisen Sang, Jia Jia, Guodong Cao, and Ning Hu. 2022. Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services. arXiv preprint arXiv:2209.09427 (2022)."},{"key":"e_1_3_2_2_17_1","volume-title":"Decoupled Weight Decay Regularization. In International Conference on Learning Representations.","author":"Loshchilov Ilya","year":"2018","unstructured":"Ilya Loshchilov and Frank Hutter . 2018 . Decoupled Weight Decay Regularization. In International Conference on Learning Representations. Ilya Loshchilov and Frank Hutter. 2018. Decoupled Weight Decay Regularization. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210104"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482297"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482291"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557462"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00148"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482206"},{"key":"e_1_3_2_2_24_1","unstructured":"Dragomir R Radev Hong Qi Harris Wu and Weiguo Fan. 2002. Evaluating Web-based Question Answering Systems.. In LREC. Citeseer.  Dragomir R Radev Hong Qi Harris Wu and Weiguo Fan. 2002. Evaluating Web-based Question Answering Systems.. In LREC. Citeseer."},{"key":"e_1_3_2_2_25_1","volume-title":"Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. 452--461","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 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. 452--461 . Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. 452--461."},{"key":"e_1_3_2_2_26_1","volume-title":"Markus Hagenbuchner, and Gabriele Monfardini.","author":"Scarselli Franco","year":"2008","unstructured":"Franco Scarselli , Marco Gori , Ah Chung Tsoi , Markus Hagenbuchner, and Gabriele Monfardini. 2008 . The graph neural network model. IEEE transactions on neural networks, Vol. 20 , 1 (2008), 61--80. Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. 2008. The graph neural network model. IEEE transactions on neural networks, Vol. 20, 1 (2008), 61--80."},{"key":"e_1_3_2_2_27_1","volume-title":"International Workshop on Machine Learning Methods for Recommender Systems.","author":"Seo Sungyong","year":"2017","unstructured":"Sungyong Seo , Jing Huang , Hao Yang , and Yan Liu . 2017 . Representation learning of users and items for review rating prediction using attention-based convolutional neural network . In International Workshop on Machine Learning Methods for Recommender Systems. Sungyong Seo, Jing Huang, Hao Yang, and Yan Liu. 2017. Representation learning of users and items for review rating prediction using attention-based convolutional neural network. In International Workshop on Machine Learning Methods for Recommender Systems."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00165"},{"key":"e_1_3_2_2_29_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 ). 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_30_1","volume-title":"Graph attention networks. arXiv preprint arXiv:1710.10903","author":"Petar Velivc","year":"2017","unstructured":"Petar Velivc kovi\u0107, Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Lio , and Yoshua Bengio . 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 ( 2017 ). Petar Velivc kovi\u0107, 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_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403308"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_2_33_1","volume-title":"International conference on machine learning. PMLR, 6861--6871","author":"Wu Felix","year":"2019","unstructured":"Felix Wu , Amauri Souza , Tianyi Zhang , Christopher Fifty , Tao Yu , and Kilian Weinberger . 2019 a. Simplifying graph convolutional networks . In International conference on machine learning. PMLR, 6861--6871 . Felix Wu, Amauri Souza, Tianyi Zhang, Christopher Fifty, Tao Yu, and Kilian Weinberger. 2019a. Simplifying graph convolutional networks. In International conference on machine learning. PMLR, 6861--6871."},{"key":"e_1_3_2_2_34_1","unstructured":"Qitian Wu Hengrui Zhang Xiaofeng Gao Peng He Paul Weng Han Gao and Guihai Chen. 2019b. Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems. In The world wide web conference. 2091--2102.  Qitian Wu Hengrui Zhang Xiaofeng Gao Peng He Paul Weng Han Gao and Guihai Chen. 2019b. Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems. In The world wide web conference. 2091--2102."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3494523"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412754"},{"key":"e_1_3_2_2_38_1","volume-title":"Gated Hypergraph Neural Network for Scene-Aware Recommendation. In International Conference on Database Systems for Advanced Applications. Springer, 199--215","author":"Yang Tianchi","year":"2022","unstructured":"Tianchi Yang , Luhao Zhang , Chuan Shi , Cheng Yang , Siyong Xu , Ruiyu Fang , Maodi Hu , Huaijun Liu , Tao Li , and Dong Wang . 2022 . Gated Hypergraph Neural Network for Scene-Aware Recommendation. In International Conference on Database Systems for Advanced Applications. Springer, 199--215 . Tianchi Yang, Luhao Zhang, Chuan Shi, Cheng Yang, Siyong Xu, Ruiyu Fang, Maodi Hu, Huaijun Liu, Tao Li, and Dong Wang. 2022. Gated Hypergraph Neural Network for Scene-Aware Recommendation. In International Conference on Database Systems for Advanced Applications. Springer, 199--215."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"e_1_3_2_2_40_1","volume-title":"A dual augmented two-tower model for online large-scale recommendation. DLP-KDD","author":"Yu Yantao","year":"2021","unstructured":"Yantao Yu , Weipeng Wang , Zhoutian Feng , and Daiyue Xue . 2021. A dual augmented two-tower model for online large-scale recommendation. DLP-KDD ( 2021 ). Yantao Yu, Weipeng Wang, Zhoutian Feng, and Daiyue Xue. 2021. A dual augmented two-tower model for online large-scale recommendation. DLP-KDD (2021)."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3316481"},{"key":"e_1_3_2_2_42_1","volume-title":"Deep learning on graphs: A survey","author":"Zhang Ziwei","year":"2020","unstructured":"Ziwei Zhang , Peng Cui , and Wenwu Zhu . 2020. Deep learning on graphs: A survey . IEEE Transactions on Knowledge and Data Engineering ( 2020 ). Ziwei Zhang, Peng Cui, and Wenwu Zhu. 2020. Deep learning on graphs: A survey. IEEE Transactions on Knowledge and Data Engineering (2020)."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330686"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018665"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"}],"event":{"name":"KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Long Beach CA USA","acronym":"KDD '23"},"container-title":["Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3580305.3599866","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3580305.3599866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:24Z","timestamp":1750182564000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3580305.3599866"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,4]]},"references-count":45,"alternative-id":["10.1145\/3580305.3599866","10.1145\/3580305"],"URL":"https:\/\/doi.org\/10.1145\/3580305.3599866","relation":{},"subject":[],"published":{"date-parts":[[2023,8,4]]},"assertion":[{"value":"2023-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}