{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T15:59:27Z","timestamp":1780675167747,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T00:00:00Z","timestamp":1595635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSF","award":["1841138"],"award-info":[{"award-number":["1841138"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,7,25]]},"DOI":"10.1145\/3397271.3401133","type":"proceedings-article","created":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T07:50:08Z","timestamp":1595663408000},"page":"1101-1110","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":241,"title":["Next-item Recommendation with Sequential Hypergraphs"],"prefix":"10.1145","author":[{"given":"Jianling","family":"Wang","sequence":"first","affiliation":[{"name":"Texas A&amp;M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaize","family":"Ding","sequence":"additional","affiliation":[{"name":"Arizona State University, Tempe, AZ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangjie","family":"Hong","sequence":"additional","affiliation":[{"name":"LinkedIn Inc., Sunnyvale, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huan","family":"Liu","sequence":"additional","affiliation":[{"name":"Arizona State University, Tempe, AZ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Caverlee","sequence":"additional","affiliation":[{"name":"Texas A&amp;M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Sameer Agarwal Kristin Branson and Serge Belongie. 2006. Higher order learning with graphs. In ICML.  Sameer Agarwal Kristin Branson and Serge Belongie. 2006. Higher order learning with graphs. In ICML.","DOI":"10.1145\/1143844.1143847"},{"key":"e_1_3_2_1_2_1","unstructured":"James Atwood and Don Towsley. 2016. Diffusion-convolutional neural networks. In NeurIPS.  James Atwood and Don Towsley. 2016. Diffusion-convolutional neural networks. In NeurIPS."},{"key":"e_1_3_2_1_3_1","volume-title":"Hypergraph Convolution and Hypergraph Attention. arXiv preprint arXiv:1901.08150","author":"Bai Song","year":"2019","unstructured":"Song Bai , Feihu Zhang , and Philip HS Torr . 2019. Hypergraph Convolution and Hypergraph Attention. arXiv preprint arXiv:1901.08150 ( 2019 ). Song Bai, Feihu Zhang, and Philip HS Torr. 2019. Hypergraph Convolution and Hypergraph Attention. arXiv preprint arXiv:1901.08150 (2019)."},{"key":"e_1_3_2_1_4_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_1_5_1","unstructured":"Jiajun Bu Shulong Tan Chun Chen Can Wang Hao Wu Lijun Zhang and Xiaofei He. 2010. Music recommendation by unified hypergraph: combining social media information and music content. In MM.  Jiajun Bu Shulong Tan Chun Chen Can Wang Hao Wu Lijun Zhang and Xiaofei He. 2010. Music recommendation by unified hypergraph: combining social media information and music content. In MM."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Zhiyong Cheng Jialie Shen Lei Zhu Mohan S Kankanhalli and Liqiang Nie. 2017. Exploiting Music Play Sequence for Music Recommendation.. In IJCAI.  Zhiyong Cheng Jialie Shen Lei Zhu Mohan S Kankanhalli and Liqiang Nie. 2017. Exploiting Music Play Sequence for Music Recommendation.. In IJCAI.","DOI":"10.24963\/ijcai.2017\/511"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988451"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Kaize Ding Jundong Li Rohit Bhanushali and Huan Liu. 2019 a. Deep anomaly detection on attributed networks. In SDM.  Kaize Ding Jundong Li Rohit Bhanushali and Huan Liu. 2019 a. Deep anomaly detection on attributed networks. In SDM.","DOI":"10.1145\/3289600.3290964"},{"key":"e_1_3_2_1_9_1","volume-title":"2019 b. Feature Interaction-aware Graph Neural Networks. arXiv preprint arXiv:1908.07110","author":"Ding Kaize","year":"2019","unstructured":"Kaize Ding , Yichuan Li , Jundong Li , Chenghao Liu , and Huan Liu . 2019 b. Feature Interaction-aware Graph Neural Networks. arXiv preprint arXiv:1908.07110 ( 2019 ). Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, and Huan Liu. 2019 b. Feature Interaction-aware Graph Neural Networks. arXiv preprint arXiv:1908.07110 (2019)."},{"key":"e_1_3_2_1_10_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. WWW.  Wenqi Fan Yao Ma Qing Li Yuan He Eric Zhao Jiliang Tang and Dawei Yin. 2019. Graph Neural Networks for Social Recommendation. WWW.","DOI":"10.1145\/3308558.3313488"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji and Yue Gao. 2019. Hypergraph neural networks. In AAAI.  Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji and Yue Gao. 2019. Hypergraph neural networks. In AAAI.","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Mihajlo Grbovic Vladan Radosavljevic Nemanja Djuric Narayan Bhamidipati Jaikit Savla Varun Bhagwan and Doug Sharp. 2015. E-commerce in your inbox: Product recommendations at scale. In KDD .  Mihajlo Grbovic Vladan Radosavljevic Nemanja Djuric Narayan Bhamidipati Jaikit Savla Varun Bhagwan and Doug Sharp. 2015. E-commerce in your inbox: Product recommendations at scale. In KDD .","DOI":"10.1145\/2783258.2788627"},{"key":"e_1_3_2_1_13_1","unstructured":"Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. NeurIPS.  Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. NeurIPS."},{"key":"e_1_3_2_1_14_1","unstructured":"Ruining He Wang-Cheng Kang and Julian McAuley. 2017a. Translation-based recommendation. In RecSys.  Ruining He Wang-Cheng Kang and Julian McAuley. 2017a. Translation-based recommendation. In RecSys."},{"key":"e_1_3_2_1_15_1","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017b. Neural collaborative filtering. In WWW.  Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017b. Neural collaborative filtering. In WWW."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Bal\u00e1zs Hidasi and Alexandros Karatzoglou. 2018. Recurrent neural networks with top-k gains for session-based recommendations. In CIKM .  Bal\u00e1zs Hidasi and Alexandros Karatzoglou. 2018. Recurrent neural networks with top-k gains for session-based recommendations. In CIKM .","DOI":"10.1145\/3269206.3271761"},{"key":"e_1_3_2_1_17_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 ). 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_1_18_1","doi-asserted-by":"crossref","unstructured":"Wang-Cheng Kang and Julian McAuley. 2018. Self-attentive sequential recommendation. In ICDM.  Wang-Cheng Kang and Julian McAuley. 2018. Self-attentive sequential recommendation. In ICDM.","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_19_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_1_20_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren. 2009. Collaborative filtering with temporal dynamics. In KDD.  Yehuda Koren. 2009. Collaborative filtering with temporal dynamics. In KDD.","DOI":"10.1145\/1557019.1557072"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Lei Li and Tao Li. 2013. News recommendation via hypergraph learning: encapsulation of user behavior and news content. In WSDM.  Lei Li and Tao Li. 2013. News recommendation via hypergraph learning: encapsulation of user behavior and news content. In WSDM.","DOI":"10.1145\/2433396.2433436"},{"key":"e_1_3_2_1_22_1","unstructured":"Chen Ma Peng Kang and Xue Liu. 2019. Hierarchical Gating Networks for Sequential Recommendation. In KDD.  Chen Ma Peng Kang and Xue Liu. 2019. Hierarchical Gating Networks for Sequential Recommendation. In KDD."},{"key":"e_1_3_2_1_23_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In NeurIPS.  Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In NeurIPS."},{"key":"e_1_3_2_1_24_1","unstructured":"Jianmo Ni Jiacheng Li and Julian McAuley. 2019. Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. In EMNLP-IJCNLP.  Jianmo Ni Jiacheng Li and Julian McAuley. 2019. Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. In EMNLP-IJCNLP."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Kan Ren Jiarui Qin Yuchen Fang Weinan Zhang Lei Zheng Weijie Bian Guorui Zhou Jian Xu Yong Yu Xiaoqiang Zhu et almbox. 2019 b. Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. In SIGIR.  Kan Ren Jiarui Qin Yuchen Fang Weinan Zhang Lei Zheng Weijie Bian Guorui Zhou Jian Xu Yong Yu Xiaoqiang Zhu et almbox. 2019 b. Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. In SIGIR.","DOI":"10.1145\/3331184.3331230"},{"key":"e_1_3_2_1_26_1","unstructured":"Pengjie Ren Zhumin Chen Jing Li Zhaochun Ren Jun Ma and Maarten de Rijke. 2019 a. RepeatNet: A repeat aware neural recommendation machine for session-based recommendation. In AAAI.  Pengjie Ren Zhumin Chen Jing Li Zhaochun Ren Jun Ma and Maarten de Rijke. 2019 a. RepeatNet: A repeat aware neural recommendation machine for session-based recommendation. In AAAI."},{"key":"e_1_3_2_1_27_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. In UAI.","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 UAI. Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In UAI."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Steffen Rendle Christoph Freudenthaler and Lars Schmidt-Thieme. 2010. Factorizing personalized markov chains for next-basket recommendation. In WWW.  Steffen Rendle Christoph Freudenthaler and Lars Schmidt-Thieme. 2010. Factorizing personalized markov chains for next-basket recommendation. In WWW.","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Qingquan Song Shiyu Chang and Xia Hu. 2019 a. Coupled Variational Recurrent Collaborative Filtering. In KDD.  Qingquan Song Shiyu Chang and Xia Hu. 2019 a. Coupled Variational Recurrent Collaborative Filtering. In KDD.","DOI":"10.1145\/3292500.3330940"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Weiping Song Zhiping Xiao Yifan Wang Laurent Charlin Ming Zhang and Jian Tang. 2019 b. Session-based Social Recommendation via Dynamic Graph Attention Networks. In WSDM.  Weiping Song Zhiping Xiao Yifan Wang Laurent Charlin Ming Zhang and Jian Tang. 2019 b. Session-based Social Recommendation via Dynamic Graph Attention Networks. In WSDM.","DOI":"10.1145\/3289600.3290989"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou and Peng Jiang. 2019. BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CIKM.  Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou and Peng Jiang. 2019. BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CIKM.","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Jiaxi Tang and Ke Wang. 2018. Personalized top-n sequential recommendation via convolutional sequence embedding. In WSDM.  Jiaxi Tang and Ke Wang. 2018. Personalized top-n sequential recommendation via convolutional sequence embedding. In WSDM.","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_33_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 NeurIPS.  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 NeurIPS."},{"key":"e_1_3_2_1_34_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_1_35_1","doi-asserted-by":"crossref","unstructured":"Jianling Wang and James Caverlee. 2019. Recurrent Recommendation with Local Coherence. In WSDM.  Jianling Wang and James Caverlee. 2019. Recurrent Recommendation with Local Coherence. In WSDM.","DOI":"10.1145\/3289600.3291024"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Jianling Wang Kaize Ding Ziwei Zhu Yin Zhang and James Caverlee. 2020 a. Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. In WSDM.  Jianling Wang Kaize Ding Ziwei Zhu Yin Zhang and James Caverlee. 2020 a. Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. In WSDM.","DOI":"10.1145\/3336191.3371826"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Jianling Wang Raphael Louca Diane Hu Caitlin Cellier James Caverlee and Liangjie Hong. 2020 b. Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. In WSDM.  Jianling Wang Raphael Louca Diane Hu Caitlin Cellier James Caverlee and Liangjie Hong. 2020 b. Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. In WSDM.","DOI":"10.1145\/3336191.3371836"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural Graph Collaborative Filtering. In SIGIR.  Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural Graph Collaborative Filtering. In SIGIR.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_39_1","unstructured":"Chao-Yuan Wu Amr Ahmed Alex Beutel Alexander J Smola and How Jing. 2017. Recurrent recommender networks. In WSDM.  Chao-Yuan Wu Amr Ahmed Alex Beutel Alexander J Smola and How Jing. 2017. Recurrent recommender networks. In WSDM."},{"key":"e_1_3_2_1_40_1","volume-title":"2019 a. A Neural Influence Diffusion Model for Social Recommendation. arXiv preprint arXiv:1904.10322","author":"Wu Le","year":"2019","unstructured":"Le Wu , Peijie Sun , Yanjie Fu , Richang Hong , Xiting Wang , and Meng Wang . 2019 a. A Neural Influence Diffusion Model for Social Recommendation. arXiv preprint arXiv:1904.10322 ( 2019 ). Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, and Meng Wang. 2019 a. A Neural Influence Diffusion Model for Social Recommendation. arXiv preprint arXiv:1904.10322 (2019)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie and Tieniu Tan. 2019 b. Session-based recommendation with graph neural networks. In AAAI.  Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie and Tieniu Tan. 2019 b. Session-based recommendation with graph neural networks. In AAAI.","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Liang Xiang Quan Yuan Shiwan Zhao Li Chen Xiatian Zhang Qing Yang and Jimeng Sun. 2010. Temporal recommendation on graphs via long-and short-term preference fusion. In KDD.  Liang Xiang Quan Yuan Shiwan Zhao Li Chen Xiatian Zhang Qing Yang and Jimeng Sun. 2010. Temporal recommendation on graphs via long-and short-term preference fusion. In KDD.","DOI":"10.1145\/1835804.1835896"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Dingqi Yang Bingqing Qu Jie Yang and Philippe Cudre-Mauroux. 2019. Revisiting user mobility and social relationships in lbsns: a hypergraph embedding approach. In WWW.  Dingqi Yang Bingqing Qu Jie Yang and Philippe Cudre-Mauroux. 2019. Revisiting user mobility and social relationships in lbsns: a hypergraph embedding approach. In WWW.","DOI":"10.1145\/3308558.3313635"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis Joemon M Jose and Xiangnan He. 2019. A Simple Convolutional Generative Network for Next Item Recommendation. In WSDM.  Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis Joemon M Jose and Xiangnan He. 2019. A Simple Convolutional Generative Network for Next Item Recommendation. In WSDM.","DOI":"10.1145\/3289600.3290975"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.07.030"}],"event":{"name":"SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval","location":"Virtual Event China","acronym":"SIGIR '20","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401133","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3397271.3401133","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3397271.3401133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:43Z","timestamp":1750200103000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401133"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,25]]},"references-count":45,"alternative-id":["10.1145\/3397271.3401133","10.1145\/3397271"],"URL":"https:\/\/doi.org\/10.1145\/3397271.3401133","relation":{},"subject":[],"published":{"date-parts":[[2020,7,25]]},"assertion":[{"value":"2020-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}