{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T13:09:59Z","timestamp":1767704999642,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"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":[[2021,2]]},"DOI":"10.1145\/3437378.3442690","type":"proceedings-article","created":{"date-parts":[[2021,2,2]],"date-time":"2021-02-02T00:05:57Z","timestamp":1612224357000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games"],"prefix":"10.1145","author":[{"given":"Rafet","family":"Sifa","sequence":"first","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anders","family":"Drachen","sequence":"additional","affiliation":[{"name":"University of York, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Florian","family":"Block","sequence":"additional","affiliation":[{"name":"University of York, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Spencer","family":"Moon","sequence":"additional","affiliation":[{"name":"Northwestern University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anisha","family":"Dubhashi","sequence":"additional","affiliation":[{"name":"Northwestern University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Xiao","sequence":"additional","affiliation":[{"name":"Northwestern University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zili","family":"Li","sequence":"additional","affiliation":[{"name":"Northwestern University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Klabjan","sequence":"additional","affiliation":[{"name":"Northwestern University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Demediuk","sequence":"additional","affiliation":[{"name":"University of York, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,2]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCS45141.2019.9065758"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3337722.3337765"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3210825.3210833"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.entcom.2020.100393"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1994.10485840"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3167918.3167937"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Vol.\u00a015","author":"Demediuk Simon","year":"2019","unstructured":"Simon Demediuk , Peter York , Anders Drachen , James\u00a0Alfred Walker , and Florian Block . 2019 . Role Identification for Accurate Analysis in Dota 2 . In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Vol.\u00a015 . 130\u2013138. Simon Demediuk, Peter York, Anders Drachen, James\u00a0Alfred Walker, and Florian Block. 2019. Role Identification for Accurate Analysis in Dota 2. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Vol.\u00a015. 130\u2013138."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/NICS.2016.7725645"},{"volume-title":"Game Analytics","author":"Drachen Anders","key":"e_1_3_2_1_9_1","unstructured":"Anders Drachen and Matthias Schubert . 2013. Spatial game analytics . In Game Analytics . Springer , 365\u2013402. Anders Drachen and Matthias Schubert. 2013. Spatial game analytics. In Game Analytics. Springer, 365\u2013402."},{"volume-title":"Game analytics","author":"El-Nasr Magy\u00a0Seif","key":"e_1_3_2_1_10_1","unstructured":"Magy\u00a0Seif El-Nasr , Anders Drachen , and Alessandro Canossa . 2016. Game analytics . Springer . Magy\u00a0Seif El-Nasr, Anders Drachen, and Alessandro Canossa. 2016. Game analytics. Springer."},{"volume-title":"Social game design: Monetization methods and mechanics","author":"Fields Tim","key":"e_1_3_2_1_11_1","unstructured":"Tim Fields and Brandon Cotton . 2011. Social game design: Monetization methods and mechanics . CRC Press . Tim Fields and Brandon Cotton. 2011. Social game design: Monetization methods and mechanics. CRC Press."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3337722.3341855"},{"key":"e_1_3_2_1_13_1","volume-title":"Peter\u00a0Ivan Cowling, and Anders Drachen.","author":"Hodge J","year":"2019","unstructured":"Victoria\u00a0 J Hodge , Sam\u00a0Michael Devlin , Nicholas\u00a0John Sephton , Florian\u00a0Oliver Block , Peter\u00a0Ivan Cowling, and Anders Drachen. 2019 . Win Prediction in Multi-Player Esports: Live Professional Match Prediction. IEEE Transactions on Games( 2019). Victoria\u00a0J Hodge, Sam\u00a0Michael Devlin, Nicholas\u00a0John Sephton, Florian\u00a0Oliver Block, Peter\u00a0Ivan Cowling, and Anders Drachen. 2019. Win Prediction in Multi-Player Esports: Live Professional Match Prediction. IEEE Transactions on Games(2019)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/VISUAL.2004.120"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38577-3_53"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290688.3290750"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.camwa.2012.01.034"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2019.8847997"},{"key":"e_1_3_2_1_19_1","volume-title":"DAX: Data-Driven Audience Experiences in Esports. In ACM International Conference on Interactive Media Experiences (Cornella","author":"Kokkinakis Athanasios\u00a0Vasileios","year":"2020","unstructured":"Athanasios\u00a0Vasileios Kokkinakis , Simon Demediuk , Isabelle N\u00f6lle , Oluseyi Olarewaju , Sagarika Patra , Justus Robertson , Peter York , Alan\u00a0Pedrassoli Pedrassoli\u00a0Chitayat , Alistair Coates , Daniel Slawson , Peter Hughes , Nicolas Hardie , Ben Kirman , Jonathan Hook , Anders Drachen , Marian\u00a0 F Ursu , and Florian Block . 2020 . DAX: Data-Driven Audience Experiences in Esports. In ACM International Conference on Interactive Media Experiences (Cornella , Barcelona, Spain) (IMX \u201920). Association for Computing Machinery, New York, NY, USA, 94\u2013105. https:\/\/doi.org\/10.1145\/3391614.3393659 10.1145\/3391614.3393659 Athanasios\u00a0Vasileios Kokkinakis, Simon Demediuk, Isabelle N\u00f6lle, Oluseyi Olarewaju, Sagarika Patra, Justus Robertson, Peter York, Alan\u00a0Pedrassoli Pedrassoli\u00a0Chitayat, Alistair Coates, Daniel Slawson, Peter Hughes, Nicolas Hardie, Ben Kirman, Jonathan Hook, Anders Drachen, Marian\u00a0F Ursu, and Florian Block. 2020. DAX: Data-Driven Audience Experiences in Esports. In ACM International Conference on Interactive Media Experiences (Cornella, Barcelona, Spain) (IMX \u201920). Association for Computing Machinery, New York, NY, USA, 94\u2013105. https:\/\/doi.org\/10.1145\/3391614.3393659"},{"key":"e_1_3_2_1_20_1","volume-title":"Applying metrics driven development to MMO costs and risks","author":"Mellon Larry","year":"2009","unstructured":"Larry Mellon . 2009. Applying metrics driven development to MMO costs and risks . Versant Corporation ( 2009 ). Larry Mellon. 2009. Applying metrics driven development to MMO costs and risks. Versant Corporation (2009)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Pejman Mirza-Babaei G\u00fcnter Wallner Graham McAllister and Lennart\u00a0E Nacke. 2014. Unified visualization of quantitative and qualitative playtesting data. In CHI\u201914 Extended Abstracts on Human Factors in Computing Systems. ACM 1363\u20131368.  Pejman Mirza-Babaei G\u00fcnter Wallner Graham McAllister and Lennart\u00a0E Nacke. 2014. Unified visualization of quantitative and qualitative playtesting data. In CHI\u201914 Extended Abstracts on Human Factors in Computing Systems. ACM 1363\u20131368.","DOI":"10.1145\/2559206.2581224"},{"volume-title":"Market Report","year":"2020","key":"e_1_3_2_1_22_1","unstructured":"Newzoo. 2020. Newzoo Global Esports Market Report 2020 . https:\/\/newzoo.com\/insights\/trend-reports\/newzoo-global-esports-market-report-2020-light-version\/ Newzoo. 2020. Newzoo Global Esports Market Report 2020. https:\/\/newzoo.com\/insights\/trend-reports\/newzoo-global-esports-market-report-2020-light-version\/"},{"key":"e_1_3_2_1_23_1","volume-title":"Glyph: Visualization Tool for Understanding Problem Solving Strategies in Puzzle Games.. In FDG.","author":"Nguyen D","year":"2015","unstructured":"Truong-Huy\u00a0 D Nguyen , Magy\u00a0Seif El-Nasr , and Alessandro Canossa . 2015 . Glyph: Visualization Tool for Understanding Problem Solving Strategies in Puzzle Games.. In FDG. Truong-Huy\u00a0D Nguyen, Magy\u00a0Seif El-Nasr, and Alessandro Canossa. 2015. Glyph: Visualization Tool for Understanding Problem Solving Strategies in Puzzle Games.. In FDG."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2833258.2833305"},{"volume-title":"August 30th(2012).","author":"Nozhnin Dmitry","key":"e_1_3_2_1_25_1","unstructured":"Dmitry Nozhnin . 2012. Predicting churn: When do veterans quit. Gamasutra , August 30th(2012). Dmitry Nozhnin. 2012. Predicting churn: When do veterans quit. Gamasutra, August 30th(2012)."},{"key":"e_1_3_2_1_26_1","unstructured":"Riot. 2019. League of Legends - https:\/\/euw.leagueoflegends.com\/en\/. https:\/\/euw.leagueoflegends.com\/en\/  Riot. 2019. League of Legends - https:\/\/euw.leagueoflegends.com\/en\/. https:\/\/euw.leagueoflegends.com\/en\/"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aasri.2014.08.014"},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of the MIT Sloan Sports Analytics Conference.","author":"Schubert Matthias","year":"2016","unstructured":"Matthias Schubert , Anders Drachen , and Tobias Mahlmann . 2016 . Esports analytics through encounter detection . In Proceedings of the MIT Sloan Sports Analytics Conference. Matthias Schubert, Anders Drachen, and Tobias Mahlmann. 2016. Esports analytics through encounter detection. In Proceedings of the MIT Sloan Sports Analytics Conference."},{"volume-title":"Proc","author":"Sifa Rafet","key":"e_1_3_2_1_29_1","unstructured":"Rafet Sifa . 2018. An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization . In Proc . ICANN. Springer . Rafet Sifa. 2018. An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization. In Proc. ICANN. Springer."},{"key":"e_1_3_2_1_30_1","volume-title":"Matrix and tensor factorization for profiling player behavior. LeanPub","author":"Sifa Rafet","year":"2019","unstructured":"Rafet Sifa . 2019. Matrix and tensor factorization for profiling player behavior. LeanPub ( 2019 ). Rafet Sifa. 2019. Matrix and tensor factorization for profiling player behavior. LeanPub (2019)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2017.76"},{"key":"e_1_3_2_1_32_1","unstructured":"Rafet Sifa Christian Bauckhage and Anders Drachen. 2014. Archetypal Game Recommender Systems.. In LWA. 45\u201356.  Rafet Sifa Christian Bauckhage and Anders Drachen. 2014. Archetypal Game Recommender Systems.. In LWA. 45\u201356."},{"key":"e_1_3_2_1_33_1","volume-title":"Profiling in Games: Understanding Behavior from Telemetry. Social Interactions in Virtual Worlds: An Interdisciplinary Perspective","author":"Sifa Rafet","year":"2018","unstructured":"Rafet Sifa , Anders Drachen , and Christian Bauckhage . 2018. Profiling in Games: Understanding Behavior from Telemetry. Social Interactions in Virtual Worlds: An Interdisciplinary Perspective ( 2018 ). Rafet Sifa, Anders Drachen, and Christian Bauckhage. 2018. Profiling in Games: Understanding Behavior from Telemetry. Social Interactions in Virtual Worlds: An Interdisciplinary Perspective (2018)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Rafet Sifa Anders Drachen and Christian Bauckhauge. 2018. Profiling in Games: Understanding Behavior from Telemetry. In Social Interaction in Virtual Worlds. 337\u2013374.  Rafet Sifa Anders Drachen and Christian Bauckhauge. 2018. Profiling in Games: Understanding Behavior from Telemetry. In Social Interaction in Virtual Worlds. 337\u2013374.","DOI":"10.1017\/9781316422823.014"},{"key":"e_1_3_2_1_35_1","volume-title":"Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference.","author":"Sifa Rafet","year":"2015","unstructured":"Rafet Sifa , Fabian Hadiji , Julian Runge , Anders Drachen , Kristian Kersting , and Christian Bauckhage . 2015 . Predicting purchase decisions in mobile free-to-play games . In Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference. Rafet Sifa, Fabian Hadiji, Julian Runge, Anders Drachen, Kristian Kersting, and Christian Bauckhage. 2015. Predicting purchase decisions in mobile free-to-play games. In Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13218-019-00620-2"},{"key":"e_1_3_2_1_37_1","unstructured":"Markus Viljanen Jukka Vahlo Aki Koponen and Tapio Pahikkala. 2020. Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting. arXiv preprint arXiv:2009.08947(2020).  Markus Viljanen Jukka Vahlo Aki Koponen and Tapio Pahikkala. 2020. Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting. arXiv preprint arXiv:2009.08947(2020)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2013.11.010"}],"event":{"name":"ACSW '21: 2021 Australasian Computer Science Week Multiconference","acronym":"ACSW '21","location":"Dunedin New Zealand"},"container-title":["2021 Australasian Computer Science Week Multiconference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3437378.3442690","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3437378.3442690","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:25Z","timestamp":1750191445000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3437378.3442690"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":38,"alternative-id":["10.1145\/3437378.3442690","10.1145\/3437378"],"URL":"https:\/\/doi.org\/10.1145\/3437378.3442690","relation":{},"subject":[],"published":{"date-parts":[[2021,2]]},"assertion":[{"value":"2021-02-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}