{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T06:54:43Z","timestamp":1764053683897,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030522483"},{"type":"electronic","value":"9783030522490"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-52249-0_21","type":"book-chapter","created":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T11:03:49Z","timestamp":1593774229000},"page":"297-308","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Retention Prediction in Sandbox Games with Bipartite Tensor Factorization"],"prefix":"10.1007","author":[{"given":"Rafet","family":"Sifa","sequence":"first","affiliation":[]},{"given":"Michael","family":"Fedell","sequence":"additional","affiliation":[]},{"given":"Nathan","family":"Franklin","sequence":"additional","affiliation":[]},{"given":"Diego","family":"Klabjan","sequence":"additional","affiliation":[]},{"given":"Shiva","family":"Ram","sequence":"additional","affiliation":[]},{"given":"Arpan","family":"Venugopal","sequence":"additional","affiliation":[]},{"given":"Simon","family":"Demediuk","sequence":"additional","affiliation":[]},{"given":"Anders","family":"Drachen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,4]]},"reference":[{"key":"21_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4769-5","volume-title":"Game Analytics: Maximizing the Value of Player Data","author":"M El-Nasr","year":"2013","unstructured":"El-Nasr, M., Drachen, A., Canossa, A.: Game Analytics: Maximizing the Value of Player Data. Springer, Cham (2013)"},{"key":"21_CR2","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198794844.003.0031","volume-title":"Games User Research","author":"A Drachen","year":"2018","unstructured":"Drachen, A., Mirza-Babaei, P., Nacke, L.: Games User Research. Oxford University Press, Oxford (2018)"},{"key":"21_CR3","unstructured":"Sifa, R.: Matrix and tensor factorization for profiling player behavior. LeanPub (2019)"},{"key":"21_CR4","unstructured":"Sifa, R., Drachen, A., Bauckhage, C.: Profiling in games: understanding behavior from telemetry (2017)"},{"key":"21_CR5","unstructured":"Drachen, A., Lunquist, E., Kung, Y., Rao, P., Klabjan, D., Sifa, R., Runge, J.: Rapid prediction of player retention in free-to-play mobile games. In: Proceedings of the AAAI AIIDE (2016)"},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Hadiji, F., Sifa, R., Drachen, A., Thurau, C., Kersting, K., Bauckhage, C.: Predicting player churn in the wild. In: Proceedings of the IEEE CIG (2014)","DOI":"10.1109\/CIG.2014.6932876"},{"key":"21_CR7","unstructured":"Kim, K.-J., Yoon, D., Jeon, J., Yang, S.-I., Lee, S.-K., Lee, E., Bertens, P., Peri\u00e1\u00f1ez, A., Hadiji, F., M\u00fcller, M., Joo, Y., Lee, J., Hwang, I.: Game data mining competition on churn prediction and survival analysis using commercial game log data. In: Computational Intelligence and Games (CIG) (2017)"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Runge, J., Gao, P., Garcin, F., Faltings, B.: Churn prediction for high-value players in casual social games. In: Proceedings of the IEEE CIG (2014)","DOI":"10.1109\/CIG.2014.6932875"},{"key":"21_CR9","unstructured":"Sifa, R., Hadiji, F., Runge, J., Drachen, A., Kersting, K., Bauckhage, C.: Predicting purchase decisions in mobile free-to-play games. In: Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference (2015)"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Peri\u00e1\u00f1ez, \u00c1., Saas, A., Guitart, A., Magne, C.: Churn prediction in mobile social games: towards a complete assessment using survival ensembles. In: Proceedings of the IEEE DSAA (2016)","DOI":"10.1109\/DSAA.2016.84"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Demediuk, S., Murrin, A., Bulger, D., Hitchens, M., Drachen, A., Raffe, W.L., Tamassia, M.: Player retention in league of legends: a study using survival analysis. In: Proceedings of the ACSW IE. ACM (2018)","DOI":"10.1145\/3167918.3167937"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Sifa, R., Srikanth, S., Drachen, A., Ojeda, C., Bauckhage, C.: Predicting retention in sandbox games with tensor factorization-based representation learning. In: Proceedings of the IEEE CIG (2016)","DOI":"10.1109\/CIG.2016.7860405"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Sifa, R., Yawar, R., Ramamurthy, R., Bauckhage, C.: Matrix and tensor factorization based game content recommender systems: a bottom-up architecture and a comparative online evaluation. In: Proceedings of the AAAI AIIDE (2018)","DOI":"10.1609\/aiide.v14i1.13028"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Lee, S.K., Hong, S.J., Yang, S.I., Lee, H.: Predicting churn in mobile free-to-play games. In: Proceedings of the IEEE ICTC (2016)","DOI":"10.1109\/ICTC.2016.7763364"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Liu, X., Xie, M., Wen, X., Chen, R., Ge, Y., Duffield, N., Wang, N.: A semi-supervised and inductive embedding model for churn prediction of large-scale mobile games. In: 2018 IEEE International Conference on Data Mining (ICDM). IEEE (2018)","DOI":"10.1109\/ICDM.2018.00043"},{"key":"21_CR16","doi-asserted-by":"crossref","unstructured":"Viljanen, M., Airola, A., Pahikkala, T., Heikkonen, J.: Modelling user retention in mobile games. In: Proceedings of the IEEE CIG (2016)","DOI":"10.1109\/CIG.2016.7860393"},{"issue":"4","key":"21_CR17","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1109\/TCIAIG.2014.2339221","volume":"7","author":"GN Yannakakis","year":"2015","unstructured":"Yannakakis, G.N., Togelius, J.: A panorama of artificial and computational intelligence in games. IEEE Trans. Comput. Intell. AI Games 7(4), 317\u2013335 (2015)","journal-title":"IEEE Trans. Comput. Intell. AI Games"},{"key":"21_CR18","doi-asserted-by":"crossref","unstructured":"Xie, H., Devlin, S., Kudenko, D., Cowling, P.: Predicting player disengagement and first purchase with event-frequency based data representation. In: Proceedings of Computational Intelligence in Games (CIG) (2015)","DOI":"10.1109\/CIG.2015.7317919"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Sifa, R., Bauckhage, C.: Online k-maxoids clustering. In: 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 667\u2013675. IEEE (2017)","DOI":"10.1109\/DSAA.2017.76"},{"key":"21_CR20","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/j.cag.2013.11.010","volume":"38","author":"G Wallner","year":"2014","unstructured":"Wallner, G., Kriglstein, S.: PLATO: a visual analytics system for gameplay data. Comput. Graph. 38, 341\u2013356 (2014)","journal-title":"Comput. Graph."},{"issue":"3","key":"21_CR21","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1137\/07070111X","volume":"51","author":"TG Kolda","year":"2009","unstructured":"Kolda, T.G., Bader, B.W.: Tensor decompositions and applications. SIAM Rev. 51(3), 455\u2013500 (2009)","journal-title":"SIAM Rev."},{"issue":"3","key":"21_CR22","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/BF02289464","volume":"31","author":"LR Tucker","year":"1966","unstructured":"Tucker, L.R.: Some mathematical notes on three-mode factor analysis. Psychometrika 31(3), 279\u2013311 (1966)","journal-title":"Psychometrika"},{"key":"21_CR23","unstructured":"Harshman, R.A.: Models for analysis of asymmetrical relationships among N objects or stimuli. In: Proceedings of the Joint Meeting of the Psychometric Society and the Society for Mathematical Psychology (1978)"},{"key":"21_CR24","doi-asserted-by":"crossref","unstructured":"Bader, B.W., Harshman, R., Kolda, T.G.: Temporal analysis of semantic graphs using ASALSAN. In: Proceedings of the IEEE ICDM (2007)","DOI":"10.1109\/ICDM.2007.54"},{"key":"21_CR25","first-page":"57","volume":"34","author":"R Sifa","year":"2020","unstructured":"Sifa, R., Yawar, R., Ramamurthy, R., Bauckhage, C., Kersting, K.: Matrix- and tensor factorization for game content recommendation. Springer German J. Artif. Intell. 34, 57\u201367 (2020)","journal-title":"Springer German J. Artif. Intell."},{"key":"21_CR26","series-title":"Chapman and Hall\/CRC Monographs on Statistics and Applied Probability Series","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3242-6","volume-title":"Generalized Linear Models","author":"P McCullagh","year":"1989","unstructured":"McCullagh, P., Nelder, J.A.: Generalized Linear Models. Chapman and Hall\/CRC Monographs on Statistics and Applied Probability Series, 2nd edn. Chapman & Hall, Boca Raton (1989)","edition":"2"},{"issue":"1","key":"21_CR27","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"4","key":"21_CR28","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","volume":"38","author":"JH Friedman","year":"2002","unstructured":"Friedman, J.H.: Stochastic gradient boosting. Comput. Stat. Data Anal. 38(4), 367\u2013378 (2002)","journal-title":"Comput. Stat. Data Anal."}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-52249-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T23:43:41Z","timestamp":1667259821000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-52249-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030522483","9783030522490"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-52249-0_21","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Science and Information Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"London","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/saiconference.com\/Computing","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}