{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:20:54Z","timestamp":1767183654920,"version":"build-2065373602"},"reference-count":117,"publisher":"Association for Computing Machinery (ACM)","issue":"CSCW2","license":[{"start":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T00:00:00Z","timestamp":1730937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Natural Science Foundation of Guangdong Province of China","award":["2022A1515011474"],"award-info":[{"award-number":["2022A1515011474"]}]},{"name":"Stable Support Project of Shenzhen","award":["20231120161634002"],"award-info":[{"award-number":["20231120161634002"]}]},{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102265"],"award-info":[{"award-number":["62102265"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Hum.-Comput. Interact."],"published-print":{"date-parts":[[2024,11,7]]},"abstract":"<jats:p>The multiplayer online battle arena (MOBA) genre has gained significant popularity and economic success, attracting considerable research interest within the Human-Computer Interaction community. Enhancing the gaming experience requires a deep understanding of player behavior, and a crucial aspect of MOBA games is matchmaking, which aims to assemble teams of comparable skill levels. However, existing matchmaking systems often neglect important factors such as players' position preferences and team assignment, resulting in imbalanced matches and reduced player satisfaction. To address these limitations, this paper proposes a novel framework called CUPID, which introduces a novel process called ''re-matchmaking'' to optimize team and position assignments to improve both fairness and player satisfaction. CUPID incorporates a pre-filtering step to ensure a minimum level of matchmaking quality, followed by a pre-match win-rate prediction model that evaluates the fairness of potential assignments. By simultaneously considering players' position satisfaction and game fairness, CUPID aims to provide an enhanced matchmaking experience.<\/jats:p>\n          <jats:p>Extensive experiments were conducted on two large-scale, real-world MOBA datasets to validate the effectiveness of CUPID. The results surpass all existing state-of-the-art baselines, with an average relative improvement of 7.18% in terms of win prediction accuracy. Furthermore, CUPID has been successfully deployed in a popular online MOBA game. The deployment resulted in significant improvements in match fairness and player satisfaction, as evidenced by critical Human-Computer Interaction (HCI) metrics covering usability, accessibility, and engagement, observed through A\/B testing. To the best of our knowledge, Cupid is the first re-matchmaking system designed specifically for large-scale MOBA games.<\/jats:p>","DOI":"10.1145\/3686978","type":"journal-article","created":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T15:52:40Z","timestamp":1731081160000},"page":"1-39","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System"],"prefix":"10.1145","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5653-1626","authenticated-orcid":false,"given":"Ge","family":"Fan","sequence":"first","affiliation":[{"name":"Tencent Inc., Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1304-6839","authenticated-orcid":false,"given":"Chaoyun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4325-7359","authenticated-orcid":false,"given":"Kai","family":"Wang","sequence":"additional","affiliation":[{"name":"Bytedance, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7259-730X","authenticated-orcid":false,"given":"Yingjie","family":"Li","sequence":"additional","affiliation":[{"name":"Tencent Inc., Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1139-8654","authenticated-orcid":false,"given":"Junyang","family":"Chen","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5550-6461","authenticated-orcid":false,"given":"Zenglin","family":"Xu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,8]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2531602.2531724"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274358"},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the ACM on Human-Computer Interaction, 3(CSCW):1--26","author":"Tsung-Han Sher Stephen","year":"2019","unstructured":"Stephen Tsung-Han Sher and Norman Makoto Su. Speedrunning for charity: How donations gather around a live streamed couch. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW):1--26, 2019."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3415229"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445740"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3569009.3576220"},{"key":"e_1_2_1_7_1","volume-title":"https:\/\/activeplayer.io\/league-of-legends\/","author":"Legends Live Player Count League","year":"2023","unstructured":"League of Legends Live Player Count and Statistics. https:\/\/activeplayer.io\/league-of-legends\/, 2023. [Online]."},{"key":"e_1_2_1_8_1","volume-title":"Dota 2 The International: All TI winners throughout the years. https:\/\/www.oneesports.gg\/dota2\/theinternational- all-ti-winners\/","author":"Zalamea Nigel","year":"2022","unstructured":"Nigel Zalamea. Dota 2 The International: All TI winners throughout the years. https:\/\/www.oneesports.gg\/dota2\/theinternational- all-ti-winners\/, 2022. [Online]."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.11591\/ijeecs.v11.i3.pp908-917"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274362"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557070"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2022.3149044"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.entcom.2018.02.005"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2597176.2578265"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/GEM.2015.7377234"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3490486.3538314"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403279"},{"key":"e_1_2_1_18_1","first-page":"16","article-title":"The glicko system","volume":"16","author":"Glickman Mark E","year":"1995","unstructured":"Mark E Glickman. The glicko system. Boston University, 16:16--17, 1995.","journal-title":"Boston University"},{"key":"e_1_2_1_19_1","volume-title":"a bayesian skill rating system. Advances in neural information processing systems, 19","author":"Herbrich Ralf","year":"2006","unstructured":"Ralf Herbrich, Tom Minka, and Thore Graepel. Trueskill?: a bayesian skill rating system. Advances in neural information processing systems, 19, 2006."},{"key":"e_1_2_1_20_1","first-page":"1","volume-title":"Example of the glicko-2 system","author":"Glickman Mark E","year":"2012","unstructured":"Mark E Glickman. Example of the glicko-2 system. Boston University, pages 1--6, 2012."},{"key":"e_1_2_1_21_1","unstructured":"Tom Minka Ryan Cleven and Yordan Zaykov. Trueskill 2: An improved bayesian skill rating system. Technical Report 2018."},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450091"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550301"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3585639"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3585637"},{"key":"e_1_2_1_26_1","first-page":"1","volume-title":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","author":"Nacke Lennart E","year":"2019","unstructured":"Lennart E Nacke, Pejman Mirza-Babaei, and Anders Drachen. User experience (ux) research in games. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, pages 1--4, 2019."},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580939"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3574181"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1125451.1125774"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/1460563.1460603"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3406865.3418565"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3583826"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3585882"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858464"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449290"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6144"},{"key":"e_1_2_1_37_1","volume-title":"Proceedings of the ACM on Human-Computer Interaction, 4(CSCW3):1--25","author":"Zhang Rui","year":"2021","unstructured":"Rui Zhang, Nathan J McNeese, Guo Freeman, and Geoff Musick. ' an ideal human' expectations of ai teammates in human-ai teaming. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW3):1--25, 2021."},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3579476"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581270"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3272973.3272989"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491101.3503566"},{"key":"e_1_2_1_42_1","volume-title":"The development of the game engagement questionnaire: A measure of engagement in video game-playing. Journal of experimental social psychology, 45(4):624--634","author":"Brockmyer Jeanne H","year":"2009","unstructured":"Jeanne H Brockmyer, Christine M Fox, Kathleen A Curtiss, Evan McBroom, Kimberly M Burkhart, and Jacquelyn N Pidruzny. The development of the game engagement questionnaire: A measure of engagement in video game-playing. Journal of experimental social psychology, 45(4):624--634, 2009."},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702447"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702529"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3415252"},{"key":"e_1_2_1_46_1","volume-title":"ACM Transactions on Computer-Human Interaction","author":"Dunham John","year":"2022","unstructured":"John Dunham, Konstantinos Papangelis, Samuli Laato, Nicolas LaLone, Jin Ha Lee, and Michael Saker. The impacts of covid-19 on players of pok\u00e9mon go. ACM Transactions on Computer-Human Interaction, 2022."},{"key":"e_1_2_1_47_1","volume-title":"Proceedings of the ACM on Human-Computer Interaction, 6(CHI PLAY):1--23","author":"Jang Junho","year":"2022","unstructured":"Junho Jang, Ji Young Woo, and Huy Kang Kim. Action2score: An embedding approach to score player action. Proceedings of the ACM on Human-Computer Interaction, 6(CHI PLAY):1--23, 2022."},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.75"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580346"},{"key":"e_1_2_1_50_1","volume-title":"Actorlens: Visual analytics for high-level actor identification in moba games. arXiv preprint arXiv:2307.09699","author":"Jin Zhihua","year":"2023","unstructured":"Zhihua Jin, Gaoping Huang, Zixin Chen, Shiyi Liu, Yang Chao, Zhenchuan Yang, Quan Li, and Huamin Qu. Actorlens: Visual analytics for high-level actor identification in moba games. arXiv preprint arXiv:2307.09699, 2023."},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12650-019-00566-5"},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517712"},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512278"},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290607.3313049"},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025893"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445230"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.2307\/2334029"},{"key":"e_1_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3573023"},{"key":"e_1_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2010.108"},{"key":"e_1_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/1999995.2000003"},{"key":"e_1_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2012.2188833"},{"key":"e_1_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467074"},{"key":"e_1_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2904897"},{"key":"e_1_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11873"},{"key":"e_1_2_1_65_1","first-page":"1","volume-title":"Proceedings of the 26th Annual International Conference on Mobile Computing and Networking","author":"Zhang Chaoyun","year":"2020","unstructured":"Chaoyun Zhang, Marco Fiore, Cezary Ziemlicki, and Paul Patras. Microscope: mobile service traffic decomposition for network slicing as a service. In Proceedings of the 26th Annual International Conference on Mobile Computing and Networking, pages 1--14, 2020."},{"key":"e_1_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17296"},{"key":"e_1_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2021.3137084"},{"key":"e_1_2_1_68_1","volume-title":"ImDiffusion: Imputed diffusion models for multivariate time series anomaly detection. arXiv preprint arXiv:2307.00754","author":"Chen Yuhang","year":"2023","unstructured":"Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang. ImDiffusion: Imputed diffusion models for multivariate time series anomaly detection. arXiv preprint arXiv:2307.00754, 2023."},{"key":"e_1_2_1_69_1","volume-title":"Everything of thoughts: Defying the law of penrose triangle for thought generation. arXiv preprint arXiv:2311.04254","author":"Ding Ruomeng","year":"2023","unstructured":"Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang. Everything of thoughts: Defying the law of penrose triangle for thought generation. arXiv preprint arXiv:2311.04254, 2023."},{"key":"e_1_2_1_70_1","volume-title":"et al. Xpert: Empowering incident management with query recommendations via large language models. arXiv preprint arXiv:2312.11988","author":"Jiang Yuxuan","year":"2023","unstructured":"Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, et al. Xpert: Empowering incident management with query recommendations via large language models. arXiv preprint arXiv:2312.11988, 2023."},{"key":"e_1_2_1_71_1","volume-title":"et al. Ufo: A UI-focused agent for windows OS interaction. arXiv preprint arXiv:2402.07939","author":"Zhang Chaoyun","year":"2024","unstructured":"Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, et al. Ufo: A UI-focused agent for windows OS interaction. arXiv preprint arXiv:2402.07939, 2024."},{"key":"e_1_2_1_72_1","volume-title":"Social Networks and Texts: 5th International Conference, AIST 2016","author":"Semenov Aleksandr","year":"2016","unstructured":"Aleksandr Semenov, Peter Romov, Sergey Korolev, Daniil Yashkov, and Kirill Neklyudov. Performance of machine learning algorithms in predicting game outcome from drafts in dota 2. In Analysis of Images, Social Networks and Texts: 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7--9, 2016, Revised Selected Papers 5, pages 26--37. Springer, 2017."},{"key":"e_1_2_1_73_1","volume-title":"Social Networks and Texts: 6th International Conference, AIST 2017","author":"Makarov Ilya","year":"2017","unstructured":"Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov, and Dmitry I Ignatov. Predicting winning team and probabilistic ratings in 'dota 2' and 'counter-strike: Global offensive' video games. In Analysis of Images, Social Networks and Texts: 6th International Conference, AIST 2017, Moscow, Russia, July 27--29, 2017, Revised Selected Papers 6, pages 183--196. Springer, 2018."},{"key":"e_1_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/3210825.3210833"},{"key":"e_1_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2019.2948469"},{"key":"e_1_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412696"},{"key":"e_1_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512275"},{"key":"e_1_2_1_78_1","doi-asserted-by":"crossref","unstructured":"Charles Ringer Sondess Missaoui Victoria J Hodge Alan Pedrassoli Chitayat Athanasios Kokkinakis Sagarika Patra Simon Demediuk Alvaro Caceres Munoz Oluseji Olarewaju Marian Ursu et al. Time to die 2: Improved in-game death prediction in dota 2. Machine Learning with Applications page 100466 2023.","DOI":"10.1016\/j.mlwa.2023.100466"},{"key":"e_1_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583390"},{"key":"e_1_2_1_80_1","article-title":"Machine learning methods for predicting league of legends game outcome","author":"Hitar-Garcia Juan-Agustin","year":"2022","unstructured":"Juan-Agustin Hitar-Garcia, Laura Moran-Fernandez, and Veronica Bolon-Canedo. Machine learning methods for predicting league of legends game outcome. IEEE Transactions on Games, 2022.","journal-title":"IEEE Transactions on Games"},{"key":"e_1_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16528"},{"key":"e_1_2_1_82_1","volume-title":"Large language models can deliver accurate and interpretable time series anomaly detection. arXiv preprint arXiv:2405.15370","author":"Liu Jun","year":"2024","unstructured":"Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, and Dongmei Zhang. Large language models can deliver accurate and interpretable time series anomaly detection. arXiv preprint arXiv:2405.15370, 2024."},{"key":"e_1_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.1145\/3472538.3472579"},{"key":"e_1_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1198-6"},{"key":"e_1_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3551349.3559496"},{"key":"e_1_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1145\/2998181.2998185"},{"key":"e_1_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00321"},{"key":"e_1_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1109\/2.485891"},{"key":"e_1_2_1_89_1","first-page":"10193","volume-title":"International Conference on Machine Learning","author":"Tay Yi","year":"2021","unstructured":"Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Gupta, Philip M Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, and Donald Metzler. Omninet: Omnidirectional representations from transformers. In International Conference on Machine Learning, pages 10193--10202. PMLR, 2021."},{"key":"e_1_2_1_90_1","volume-title":"Attention is all you need. Advances in neural information processing systems, 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, ?ukasz Kaiser, and Illia Polosukhin. Attention is all you need. Advances in neural information processing systems, 30, 2017."},{"key":"e_1_2_1_91_1","first-page":"32","article-title":"Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting","author":"Li Shiyang","year":"2019","unstructured":"Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, and Xifeng Yan. Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting. Advances in Neural Information Processing Systems, 32, 2019.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_92_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467401"},{"key":"e_1_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"e_1_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-30672-3_36"},{"key":"e_1_2_1_95_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41019-023-00225-8"},{"key":"e_1_2_1_96_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614904"},{"key":"e_1_2_1_97_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_2_1_98_1","volume-title":"Yun Wang, Zhipeng Wang, Huamin Qu, and Xiaojuan Ma. A visual analytics approach for understanding reasons behind snowballing and comeback in moba games","author":"Li Quan","year":"2016","unstructured":"Quan Li, Peng Xu, Yeuk Yin Chan, Yun Wang, Zhipeng Wang, Huamin Qu, and Xiaojuan Ma. A visual analytics approach for understanding reasons behind snowballing and comeback in moba games. IEEE transactions on visualization and computer graphics, 23(1):211--220, 2016."},{"key":"e_1_2_1_99_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-016-1030-6"},{"key":"e_1_2_1_100_1","doi-asserted-by":"publisher","DOI":"10.1515\/jqas-2019-0096"},{"key":"e_1_2_1_101_1","doi-asserted-by":"publisher","DOI":"10.1109\/29.56063"},{"key":"e_1_2_1_102_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_2_1_103_1","first-page":"265","volume-title":"12th USENIX symposium on operating systems design and implementation (OSDI 16)","author":"Abadi Mart\u00edn","year":"2016","unstructured":"Mart\u00edn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. TensorFlow: a system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16), pages 265--283, 2016."},{"key":"e_1_2_1_104_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980, 2014."},{"key":"e_1_2_1_105_1","doi-asserted-by":"publisher","DOI":"10.1145\/3161197"},{"key":"e_1_2_1_106_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614905"},{"key":"e_1_2_1_107_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.215"},{"key":"e_1_2_1_108_1","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753687"},{"key":"e_1_2_1_109_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.08.221"},{"volume-title":"Street Basketball. https:\/\/freestyle2.joycitygames.com\/intro","year":"2023","key":"e_1_2_1_110_1","unstructured":"FreeStyles: Street Basketball. https:\/\/freestyle2.joycitygames.com\/intro, 2023. [Online]."},{"volume-title":"https:\/\/2k.com\/en-US\/game\/evolve\/","year":"2023","key":"e_1_2_1_111_1","unstructured":"Evolve. https:\/\/2k.com\/en-US\/game\/evolve\/, 2023. [Online]."},{"key":"e_1_2_1_112_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40869-020-00117-1"},{"key":"e_1_2_1_113_1","doi-asserted-by":"publisher","DOI":"10.1145\/3494993"},{"key":"e_1_2_1_114_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.11.059"},{"key":"e_1_2_1_115_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220007"},{"key":"e_1_2_1_116_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3270910"},{"key":"e_1_2_1_117_1","volume-title":"et al. Allhands: Ask me anything on large-scale verbatim feedback via large language models. arXiv preprint arXiv:2403.15157","author":"Zhang Chaoyun","year":"2024","unstructured":"Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, et al. Allhands: Ask me anything on large-scale verbatim feedback via large language models. arXiv preprint arXiv:2403.15157, 2024."}],"container-title":["Proceedings of the ACM on Human-Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3686978","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3686978","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T00:45:48Z","timestamp":1755737148000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3686978"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,7]]},"references-count":117,"journal-issue":{"issue":"CSCW2","published-print":{"date-parts":[[2024,11,7]]}},"alternative-id":["10.1145\/3686978"],"URL":"https:\/\/doi.org\/10.1145\/3686978","relation":{},"ISSN":["2573-0142"],"issn-type":[{"type":"electronic","value":"2573-0142"}],"subject":[],"published":{"date-parts":[[2024,11,7]]},"assertion":[{"value":"2024-11-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}