{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T15:41:33Z","timestamp":1779291693294,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"AWS Cloud Credits for Research"},{"name":"NSF Grant","award":["CNS-1755536"],"award-info":[{"award-number":["CNS-1755536"]}]},{"name":"Google Cloud"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3411926","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:04Z","timestamp":1603085464000},"page":"1455-1464","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation"],"prefix":"10.1145","author":[{"given":"Thanh","family":"Tran","sequence":"first","affiliation":[{"name":"Worcester Polytechnic Institute, Worcester, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di","family":"You","sequence":"additional","affiliation":[{"name":"Worcester Polytechnic Institute, Worcester, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyumin","family":"Lee","sequence":"additional","affiliation":[{"name":"Worcester Polytechnic Institute, Worcester, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"crossref","unstructured":"Travis Ebesu Bin Shen and Yi Fang. 2018. Collaborative memory network for recommendation systems. In SIGIR. 515--524. Travis Ebesu Bin Shen and Yi Fang. 2018. Collaborative memory network for recommendation systems. In SIGIR. 515--524.","DOI":"10.1145\/3209978.3209991"},{"key":"e_1_3_2_2_2_1","volume-title":"Yeow Meng Chee, and Quan Yuan","author":"Feng Shanshan","year":"2015","unstructured":"Shanshan Feng , Xutao Li , Yifeng Zeng , Gao Cong , Yeow Meng Chee, and Quan Yuan . 2015 . Personalized ranking metric embedding for next new POI recommendation. In IJCAI. 2069--2075. Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, and Quan Yuan. 2015. Personalized ranking metric embedding for next new POI recommendation. In IJCAI. 2069--2075."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Chase J Gaudet and Anthony S Maida. 2018. Deep quaternion networks. In IJCNN. 1--8. Chase J Gaudet and Anthony S Maida. 2018. Deep quaternion networks. In IJCNN. 1--8.","DOI":"10.1109\/IJCNN.2018.8489651"},{"key":"e_1_3_2_2_4_1","article-title":"LXXVIII. On quaternions; or on a new system of imaginaries in Algebra: To the editors of the Philosophical Magazine and Journal","volume":"25","author":"Hamilton William Rowan","year":"1844","unstructured":"William Rowan Hamilton . 1844 . LXXVIII. On quaternions; or on a new system of imaginaries in Algebra: To the editors of the Philosophical Magazine and Journal . The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science , Vol. 25 , 169 ( 1844), 489--495. William Rowan Hamilton. 1844. LXXVIII. On quaternions; or on a new system of imaginaries in Algebra: To the editors of the Philosophical Magazine and Journal. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, Vol. 25, 169 ( 1844), 489--495.","journal-title":"The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science"},{"key":"e_1_3_2_2_5_1","unstructured":"Ruining He Wang-Cheng Kang and Julian McAuley. 2017a. Translation-based recommendation. In RecSys. 161--169. Ruining He Wang-Cheng Kang and Julian McAuley. 2017a. Translation-based recommendation. In RecSys. 161--169."},{"key":"e_1_3_2_2_6_1","unstructured":"Ruining He and Julian McAuley. 2016. Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering. In WWW. 507--517. Ruining He and Julian McAuley. 2016. Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering. In WWW. 507--517."},{"key":"e_1_3_2_2_7_1","unstructured":"Xiangnan He Zhankui He Xiaoyu Du and Tat-Seng Chua. 2018a. Adversarial personalized ranking for recommendation. In SIGIR. 355--364. Xiangnan He Zhankui He Xiaoyu Du and Tat-Seng Chua. 2018a. Adversarial personalized ranking for recommendation. In SIGIR. 355--364."},{"key":"e_1_3_2_2_8_1","first-page":"2354","article-title":"NAIS: Neural attentive item similarity model for recommendation","volume":"30","author":"He Xiangnan","year":"2018","unstructured":"Xiangnan He , Zhankui He , Jingkuan Song , Zhenguang Liu , Yu-Gang Jiang , and Tat-Seng Chua . 2018 b. NAIS: Neural attentive item similarity model for recommendation . IEEE TKDE , Vol. 30 , 12 (2018), 2354 -- 2366 . Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, and Tat-Seng Chua. 2018b. NAIS: Neural attentive item similarity model for recommendation. IEEE TKDE, Vol. 30, 12 (2018), 2354--2366.","journal-title":"IEEE TKDE"},{"key":"e_1_3_2_2_9_1","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017b. Neural collaborative filtering. In WWW. 173--182. Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017b. Neural collaborative filtering. In WWW. 173--182."},{"key":"e_1_3_2_2_10_1","unstructured":"Xiangnan He Hanwang Zhang Min-Yen Kan and Tat-Seng Chua. 2016. Fast matrix factorization for online recommendation with implicit feedback. In SIGIR. 549--558. Xiangnan He Hanwang Zhang Min-Yen Kan and Tat-Seng Chua. 2016. Fast matrix factorization for online recommendation with implicit feedback. In SIGIR. 549--558."},{"key":"e_1_3_2_2_11_1","unstructured":"Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2016. Session-based recommendations with recurrent neural networks. In ICLR. Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2016. Session-based recommendations with recurrent neural networks. In ICLR."},{"key":"e_1_3_2_2_12_1","volume-title":"Long short-term memory. Neural computation","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation , Vol. 9 , 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation, Vol. 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_2_13_1","unstructured":"Yifan Hu Yehuda Koren and Chris Volinsky. 2008. Collaborative filtering for implicit feedback datasets. In ICDM. 263--272. Yifan Hu Yehuda Koren and Chris Volinsky. 2008. Collaborative filtering for implicit feedback datasets. In ICDM. 263--272."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Santosh Kabbur Xia Ning and George Karypis. 2013. Fism: factored item similarity models for top-n recommender systems. In KDD. 659--667. Santosh Kabbur Xia Ning and George Karypis. 2013. Fism: factored item similarity models for top-n recommender systems. In KDD. 659--667.","DOI":"10.1145\/2487575.2487589"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Wang-Cheng Kang and Julian McAuley. 2018. Self-attentive sequential recommendation. In ICDM. 197--206. Wang-Cheng Kang and Julian McAuley. 2018. Self-attentive sequential recommendation. In ICDM. 197--206.","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_2_16_1","volume-title":"Adam: A method for stochastic optimization. In ICLR.","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma and Jimmy Ba . 2015 . Adam: A method for stochastic optimization. In ICLR. Diederik P Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. In ICLR."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In KDD. 426--434. Yehuda Koren. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In KDD. 426--434.","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_19_1","volume-title":"ICLR Workshop","author":"Kurakin Alexey","year":"2017","unstructured":"Alexey Kurakin , Ian Goodfellow , and Samy Bengio . 2017 . Adversarial examples in the physical world . ICLR Workshop (2017). Alexey Kurakin, Ian Goodfellow, and Samy Bengio. 2017. Adversarial examples in the physical world. ICLR Workshop (2017)."},{"key":"e_1_3_2_2_20_1","unstructured":"Jing Li Pengjie Ren Zhumin Chen Zhaochun Ren Tao Lian and Jun Ma. 2017. Neural attentive session-based recommendation. In CIKM. 1419--1428. Jing Li Pengjie Ren Zhumin Chen Zhaochun Ren Tao Lian and Jun Ma. 2017. Neural attentive session-based recommendation. In CIKM. 1419--1428."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"crossref","unstructured":"Dawen Liang Rahul G Krishnan Matthew D Hoffman and Tony Jebara. 2018. Variational autoencoders for collaborative filtering. In WWW. 689--698. Dawen Liang Rahul G Krishnan Matthew D Hoffman and Tony Jebara. 2018. Variational autoencoders for collaborative filtering. In WWW. 689--698.","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Qiang Liu Shu Wu Diyi Wang Zhaokang Li and Liang Wang. 2016. Context-aware sequential recommendation. In ICDM. 1053--1058. Qiang Liu Shu Wu Diyi Wang Zhaokang Li and Liang Wang. 2016. Context-aware sequential recommendation. In ICDM. 1053--1058.","DOI":"10.1109\/ICDM.2016.0135"},{"key":"e_1_3_2_2_23_1","unstructured":"Chen Ma Peng Kang and Xue Liu. 2019 a. Hierarchical gating networks for sequential recommendation. In KDD. 825--833. Chen Ma Peng Kang and Xue Liu. 2019 a. Hierarchical gating networks for sequential recommendation. In KDD. 825--833."},{"key":"e_1_3_2_2_24_1","unstructured":"Chen Ma Peng Kang Bin Wu Qinglong Wang and Xue Liu. 2019 b. Gated attentive-autoencoder for content-aware recommendation. In WSDM. 519--527. Chen Ma Peng Kang Bin Wu Qinglong Wang and Xue Liu. 2019 b. Gated attentive-autoencoder for content-aware recommendation. In WSDM. 519--527."},{"key":"e_1_3_2_2_25_1","unstructured":"Chen Ma Yingxue Zhang Qinglong Wang and Xue Liu. 2018. Point-of-interest recommendation: Exploiting self-attentive autoencoders with neighbor-aware influence. In CIKM. 697--706. Chen Ma Yingxue Zhang Qinglong Wang and Xue Liu. 2018. Point-of-interest recommendation: Exploiting self-attentive autoencoders with neighbor-aware influence. In CIKM. 697--706."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Shumpei Okura Yukihiro Tagami Shingo Ono and Akira Tajima. 2017. Embedding-based news recommendation for millions of users. In KDD. 1933--1942. Shumpei Okura Yukihiro Tagami Shingo Ono and Akira Tajima. 2017. Embedding-based news recommendation for millions of users. In KDD. 1933--1942.","DOI":"10.1145\/3097983.3098108"},{"key":"e_1_3_2_2_27_1","volume-title":"2019 a. Quaternion convolutional neural networks for heterogeneous image processing","author":"Parcollet Titouan","unstructured":"Titouan Parcollet , Mohamed Morchid , and Georges Linar\u00e8s . 2019 a. Quaternion convolutional neural networks for heterogeneous image processing . In ICASSP. IEEE , 8514--8518. Titouan Parcollet, Mohamed Morchid, and Georges Linar\u00e8s. 2019 a. Quaternion convolutional neural networks for heterogeneous image processing. In ICASSP. IEEE, 8514--8518."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Titouan Parcollet Mirco Ravanelli Mohamed Morchid Georges Linar\u00e8s Chiheb Trabelsi Renato De Mori and Yoshua Bengio. 2019 b. Quaternion recurrent neural networks. In ICLR. Titouan Parcollet Mirco Ravanelli Mohamed Morchid Georges Linar\u00e8s Chiheb Trabelsi Renato De Mori and Yoshua Bengio. 2019 b. Quaternion recurrent neural networks. In ICLR.","DOI":"10.1007\/s10462-019-09752-1"},{"key":"e_1_3_2_2_29_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. In UAI. 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 UAI. 452--461. Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In UAI. 452--461."},{"key":"e_1_3_2_2_30_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. 811--820. Steffen Rendle Christoph Freudenthaler and Lars Schmidt-Thieme. 2010. Factorizing personalized markov chains for next-basket recommendation. In WWW. 811--820.","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/245108.245121"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Jiaxi Tang and Ke Wang. 2018. Personalized top-n sequential recommendation via convolutional sequence embedding. In WSDM. 565--573. Jiaxi Tang and Ke Wang. 2018. Personalized top-n sequential recommendation via convolutional sequence embedding. In WSDM. 565--573.","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_2_33_1","volume-title":"Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, and Siu Cheung Hui.","author":"Tay Yi","year":"2019","unstructured":"Yi Tay , Aston Zhang , Luu Anh Tuan , Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, and Siu Cheung Hui. 2019 . Lightweight and efficient neural natural language processing with quaternion networks. In ACL. 1494--1503. Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, and Siu Cheung Hui. 2019. Lightweight and efficient neural natural language processing with quaternion networks. In ACL. 1494--1503."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Thanh Tran Kyumin Lee Yiming Liao and Dongwon Lee. 2018. Regularizing matrix factorization with user and item embeddings for recommendation. In CIKM. 687--696. Thanh Tran Kyumin Lee Yiming Liao and Dongwon Lee. 2018. Regularizing matrix factorization with user and item embeddings for recommendation. In CIKM. 687--696.","DOI":"10.1145\/3269206.3271730"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"crossref","unstructured":"Thanh Tran Xinyue Liu Kyumin Lee and Xiangnan Kong. 2019 a. Signed Distance-based Deep Memory Recommender. In WWW. 1841--1852. Thanh Tran Xinyue Liu Kyumin Lee and Xiangnan Kong. 2019 a. Signed Distance-based Deep Memory Recommender. In WWW. 1841--1852.","DOI":"10.1145\/3308558.3313460"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"crossref","unstructured":"Thanh Tran Renee Sweeney and Kyumin Lee. 2019 b. Adversarial mahalanobis distance-based attentive song recommender for automatic playlist continuation. In SIGIR. 245--254. Thanh Tran Renee Sweeney and Kyumin Lee. 2019 b. Adversarial mahalanobis distance-based attentive song recommender for automatic playlist continuation. In SIGIR. 245--254.","DOI":"10.1145\/3331184.3331234"},{"key":"e_1_3_2_2_37_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. 5998--6008. 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. 5998--6008."},{"key":"e_1_3_2_2_38_1","volume-title":"Yi Tay, Yiding Liu, Gao Cong, and Xiaoli Li.","author":"Tran Lucas Vinh","year":"2019","unstructured":"Lucas Vinh Tran , Tuan-Anh Nguyen Pham , Yi Tay, Yiding Liu, Gao Cong, and Xiaoli Li. 2019 . Interact and decide: Medley of sub-attention networks for effective group recommendation. In SIGIR. 255--264. Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, and Xiaoli Li. 2019. Interact and decide: Medley of sub-attention networks for effective group recommendation. In SIGIR. 255--264."},{"key":"e_1_3_2_2_39_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. 165--174. Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural graph collaborative filtering. In SIGIR. 165--174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_2_40_1","unstructured":"Chao-Yuan Wu Amr Ahmed Alex Beutel Alexander J Smola and How Jing. 2017. Recurrent recommender networks. In WSDM. 495--503. Chao-Yuan Wu Amr Ahmed Alex Beutel Alexander J Smola and How Jing. 2017. Recurrent recommender networks. In WSDM. 495--503."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"crossref","unstructured":"Xin Xin Xiangnan He Yongfeng Zhang Yongdong Zhang and Joemon Jose. 2019. Relational collaborative filtering: Modeling multiple item relations for recommendation. In SIGIR. 125--134. Xin Xin Xiangnan He Yongfeng Zhang Yongdong Zhang and Joemon Jose. 2019. Relational collaborative filtering: Modeling multiple item relations for recommendation. In SIGIR. 125--134.","DOI":"10.1145\/3331184.3331188"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"crossref","unstructured":"Zeping Yu Jianxun Lian Ahmad Mahmoody Gongshen Liu and Xing Xie. 2019. Adaptive user modeling with long and short-term preferences for personalized recommendation. In IJCAI. 4213--4219. Zeping Yu Jianxun Lian Ahmad Mahmoody Gongshen Liu and Xing Xie. 2019. Adaptive user modeling with long and short-term preferences for personalized recommendation. In IJCAI. 4213--4219.","DOI":"10.24963\/ijcai.2019\/585"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"crossref","unstructured":"Hanwang Zhang Fumin Shen Wei Liu Xiangnan He Huanbo Luan and Tat-Seng Chua. 2016. Discrete collaborative filtering. In SIGIR. 325--334. Hanwang Zhang Fumin Shen Wei Liu Xiangnan He Huanbo Luan and Tat-Seng Chua. 2016. Discrete collaborative filtering. In SIGIR. 325--334.","DOI":"10.1145\/2911451.2911502"},{"key":"e_1_3_2_2_44_1","volume-title":"Aston Zhang, and Yi Tay.","author":"Zhang Shuai","year":"2019","unstructured":"Shuai Zhang , Lina Yao , Lucas Vinh Tran , Aston Zhang, and Yi Tay. 2019 . Quaternion Collaborative Filtering for Recommendation. In IJCAI. 4313--4319. Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, and Yi Tay. 2019. Quaternion Collaborative Filtering for Recommendation. In IJCAI. 4313--4319."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"crossref","unstructured":"Victor Zhong Caiming Xiong and Richard Socher. 2018. Global-Locally Self-Attentive Encoder for Dialogue State Tracking. In ACL. 1458--1467. Victor Zhong Caiming Xiong and Richard Socher. 2018. Global-Locally Self-Attentive Encoder for Dialogue State Tracking. In ACL. 1458--1467.","DOI":"10.18653\/v1\/P18-1135"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_2_47_1","unstructured":"Xuanyu Zhu Yi Xu Hongteng Xu and Changjian Chen. 2018. Quaternion convolutional neural networks. In ECCV. 631--647. Xuanyu Zhu Yi Xu Hongteng Xu and Changjian Chen. 2018. Quaternion convolutional neural networks. In ECCV. 631--647."}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411926","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3411926","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:22Z","timestamp":1750197682000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411926"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":47,"alternative-id":["10.1145\/3340531.3411926","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3411926","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}