{"id":"https://openalex.org/W2003528492","doi":"https://doi.org/10.1109/cig.2014.6932876","title":"Predicting player churn in the wild","display_name":"Predicting player churn in the wild","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2003528492","doi":"https://doi.org/10.1109/cig.2014.6932876","mag":"2003528492"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2014.6932876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2014.6932876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Conference on Computational Intelligence and Games","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066413089","display_name":"Fabian Hadiji","orcid":"https://orcid.org/0000-0003-4564-9842"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Hadiji","raw_affiliation_strings":["Technical University Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064201630","display_name":"Rafet Sifa","orcid":"https://orcid.org/0009-0004-6680-8210"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]},{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rafet Sifa","raw_affiliation_strings":["Fraunhofer IAIS, St. Augustin, Germany","Technical University Dortmund, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS, St. Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]},{"raw_affiliation_string":"Technical University Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041617107","display_name":"Anders Drachen","orcid":"https://orcid.org/0000-0002-1002-0414"},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DE","DK"],"is_corresponding":false,"raw_author_name":"Anders Drachen","raw_affiliation_strings":["Aalborg University, Denmark","Fraunhofer IAIS, St, Augustin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Fraunhofer IAIS, St, Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082761119","display_name":"Christian Thurau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124905","display_name":"Climate Analytics","ror":"https://ror.org/02yr08r26","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210124905"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Thurau","raw_affiliation_strings":["Game Analytics, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Game Analytics, Berlin, Germany","institution_ids":["https://openalex.org/I4210124905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037636074","display_name":"Kristian Kersting","orcid":"https://orcid.org/0000-0002-2873-9152"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kristian Kersting","raw_affiliation_strings":["Technical University Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003875445","display_name":"Christian Bauckhage","orcid":"https://orcid.org/0000-0001-6615-2128"},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Bauckhage","raw_affiliation_strings":["Fraunhofer IAIS, St. Augustin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS, St. Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":29.4726,"has_fulltext":false,"cited_by_count":154,"citation_normalized_percentile":{"value":0.99623285,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141694188117981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37463855743408203}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141694188117981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37463855743408203}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/cig.2014.6932876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2014.6932876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Conference on Computational Intelligence and Games","raw_type":"proceedings-article"},{"id":"pmh:oai:sdu.dk:publications/516739b0-0118-40f2-8096-a4c94aaf40ed","is_oa":false,"landing_page_url":"https://portal.findresearcher.sdu.dk/da/publications/516739b0-0118-40f2-8096-a4c94aaf40ed","pdf_url":null,"source":{"id":"https://openalex.org/S4306400424","display_name":"University of Southern Denmark Research Portal (University of Southern Denmark)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177969490","host_organization_name":"University of Southern Denmark","host_organization_lineage":["https://openalex.org/I177969490"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hadiji, F, Sifa, R, Drachen, A, Thurau, C, Kersting, K & Bauckhage, C 2014, Predicting Player Churn In the Wild. in Proceedings of the 2014 IEEE Computational Intelligence in Games., 6932876, IEEE, pp. 131-139, IEEE Conference on Computational Intelligence And Games, Granada, Spain, 11/09/2012. https://doi.org/10.1109/CIG.2014.6932876","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:fraunhofer.de:N-351553","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-351553.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IAIS","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/387889","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/387889","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"pmh:oai:pure.atira.dk:publications/597d8ee1-37c7-4145-a605-c208c1ac56a3","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6932876","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hadiji , F , Sifa , R , Drachen , A , Thurau , C , Kersting , K & Bauckhage , C 2014 , Predicting Player Churn In the Wild . in Proceedings of the 2014 IEEE Computational Intelligence in Games . IEEE , pp. 131-139 , IEEE Conference on Computational Intelligence and Games , Dortmund , Germany , 26/08/2014 . https://doi.org/10.1109/CIG.2014.6932876","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W66291295","https://openalex.org/W73914705","https://openalex.org/W90410862","https://openalex.org/W97976214","https://openalex.org/W565891557","https://openalex.org/W1550093822","https://openalex.org/W2017204136","https://openalex.org/W2022402664","https://openalex.org/W2022573990","https://openalex.org/W2027731766","https://openalex.org/W2041224215","https://openalex.org/W2067225096","https://openalex.org/W2071552263","https://openalex.org/W2073201362","https://openalex.org/W2087097402","https://openalex.org/W2115756117","https://openalex.org/W2121946324","https://openalex.org/W2125055259","https://openalex.org/W2142752589","https://openalex.org/W2217659481","https://openalex.org/W2223017844","https://openalex.org/W2246203771","https://openalex.org/W2323566104","https://openalex.org/W4247955525","https://openalex.org/W4254800818","https://openalex.org/W4299998071","https://openalex.org/W6602825505","https://openalex.org/W6603979466","https://openalex.org/W6632992855","https://openalex.org/W6688406188","https://openalex.org/W6700620931"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Free-to-Play":[0,127],"or":[1],"\u201cfreemium\u201d":[2],"games":[3,55,131,154,217],"represent":[4],"a":[5,36,75,89,138,146,192,212],"fundamental":[6],"shift":[7],"in":[8,74,126,130,162,186,219],"the":[9,13,18,26,51,69,107,119,179,187],"business":[10],"models":[11],"of":[12,21,28,35,53,106,123,148],"game":[14,37,185],"industry,":[15],"facilitated":[16],"by":[17],"increasing":[19],"use":[20],"online":[22],"distribution":[23],"platforms":[24],"and":[25,42,61,67,83,102,112,134,157,170],"introduction":[27],"increasingly":[29],"powerful":[30],"mobile":[31],"platforms.":[32],"The":[33,78,206],"ability":[34,79],"development":[38,101],"company":[39,70],"to":[40,50,64,71,80,94,98,153],"analyze":[41],"derive":[43],"insights":[44,97],"from":[45],"behavioral":[46,175],"telemetry":[47],"is":[48,110,132],"crucial":[49,90],"success":[52],"these":[54,174],"which":[56,150,198],"rely":[57,201],"on":[58,202,211],"in-game":[59,62],"purchases":[60],"advertising":[63],"generate":[65],"revenue,":[66],"for":[68,159,183],"remain":[72],"competitive":[73],"global":[76],"marketplace.":[77],"model,":[81,197],"understand":[82],"predict":[84],"future":[85],"player":[86,114,164],"behavior":[87],"has":[88],"value,":[91],"allowing":[92],"developers":[93],"obtain":[95],"data-driven":[96],"inform":[99],"design,":[100],"marketing":[103],"strategies.":[104],"One":[105],"key":[108],"challenges":[109],"modeling":[111],"predicting":[113,163],"churn.":[115],"This":[116],"paper":[117],"presents":[118],"first":[120],"cross-game":[121],"study":[122],"churn":[124,195,222],"prediction":[125,196],"games.":[128],"Churn":[129],"discussed":[133],"thoroughly":[135],"defined":[136,156],"as":[137],"formal":[139],"problem,":[140],"aligning":[141],"with":[142,178],"industry":[143],"standards.":[144],"Furthermore,":[145],"range":[147],"features":[149],"are":[151,155,209],"generic":[152],"evaluated":[158],"their":[160],"usefulness":[161],"churn,":[165],"e.g.":[166],"playtime,":[167],"session":[168,171],"length":[169],"intervals.":[172],"Using":[173],"features,":[176],"combined":[177],"individual":[180],"retention":[181],"model":[182],"each":[184],"dataset":[188,213],"used,":[189],"we":[190],"develop":[191],"broadly":[193],"applicable":[194],"does":[199],"not":[200],"game-design":[203],"specific":[204],"features.":[205],"presented":[207],"classifiers":[208],"applied":[210],"covering":[214],"five":[215],"free-to-play":[216],"resulting":[218],"high":[220],"accuracy":[221],"prediction.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}