{"id":"https://openalex.org/W2976427594","doi":"https://doi.org/10.1109/cig.2019.8848045","title":"Predicting the monetization percentage with survival analysis in free-to-play games","display_name":"Predicting the monetization percentage with survival analysis in free-to-play games","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2976427594","doi":"https://doi.org/10.1109/cig.2019.8848045","mag":"2976427594"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2019.8848045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2019.8848045","pdf_url":null,"source":{"id":"https://openalex.org/S4306498491","display_name":"2019 IEEE Conference on Games (CoG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Games (CoG)","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/A5071510852","display_name":"Riikka Numminen","orcid":"https://orcid.org/0000-0003-2283-6290"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Riikka Numminen","raw_affiliation_strings":["Department of Future Technologies, University of Turku, Turku, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Future Technologies, University of Turku, Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026344091","display_name":"Markus Viljanen","orcid":"https://orcid.org/0000-0001-7909-5820"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Markus Viljanen","raw_affiliation_strings":["Department of Future Technologies, University of Turku, Turku, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Future Technologies, University of Turku, Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021993986","display_name":"Tapio Pahikkala","orcid":"https://orcid.org/0000-0003-4183-2455"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tapio Pahikkala","raw_affiliation_strings":["Department of Future Technologies, University of Turku, Turku, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Future Technologies, University of Turku, Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071510852"],"corresponding_institution_ids":["https://openalex.org/I155660961"],"apc_list":null,"apc_paid":null,"fwci":3.4012,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92287785,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"264","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9986000061035156,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.996399998664856,"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/T11705","display_name":"Gambling Behavior and Treatments","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monetization","display_name":"Monetization","score":0.9901122450828552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7471973299980164},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5160079002380371},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4947015941143036},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.4787249267101288},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4110097587108612},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3232933282852173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12325841188430786},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1159505546092987},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08203175663948059}],"concepts":[{"id":"https://openalex.org/C2780602052","wikidata":"https://www.wikidata.org/wiki/Q289845","display_name":"Monetization","level":2,"score":0.9901122450828552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471973299980164},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5160079002380371},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4947015941143036},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.4787249267101288},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4110097587108612},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3232933282852173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12325841188430786},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1159505546092987},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08203175663948059},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2019.8848045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2019.8848045","pdf_url":null,"source":{"id":"https://openalex.org/S4306498491","display_name":"2019 IEEE Conference on Games (CoG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Games (CoG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W620629027","https://openalex.org/W622863680","https://openalex.org/W754271696","https://openalex.org/W1553526580","https://openalex.org/W1918096142","https://openalex.org/W2011257994","https://openalex.org/W2027731766","https://openalex.org/W2049633694","https://openalex.org/W2053742104","https://openalex.org/W2075211514","https://openalex.org/W2117853077","https://openalex.org/W2136883754","https://openalex.org/W2142635246","https://openalex.org/W2202704248","https://openalex.org/W2294550615","https://openalex.org/W2396143953","https://openalex.org/W2491117609","https://openalex.org/W2575813499","https://openalex.org/W2576024249","https://openalex.org/W2578510892","https://openalex.org/W2797482815","https://openalex.org/W3000173465","https://openalex.org/W3105530125","https://openalex.org/W4232023503","https://openalex.org/W4239371790","https://openalex.org/W4244294689","https://openalex.org/W4293738259","https://openalex.org/W4301268066","https://openalex.org/W6622193818","https://openalex.org/W6687833805","https://openalex.org/W6732291021","https://openalex.org/W6744883194","https://openalex.org/W6786135873"],"related_works":["https://openalex.org/W4296873905","https://openalex.org/W4312342191","https://openalex.org/W2990215692","https://openalex.org/W2520281795","https://openalex.org/W2956015248","https://openalex.org/W4323565542","https://openalex.org/W4297808986","https://openalex.org/W72090","https://openalex.org/W20878794","https://openalex.org/W4240504770"],"abstract_inverted_index":{"Understanding":[0],"and":[1,122],"predicting":[2],"player":[3],"monetization":[4,120,125],"is":[5,13,69,111],"very":[6],"important,":[7],"because":[8],"the":[9,30,38,67,98,102,105,118,123,128],"free-to-play":[10,88],"revenue":[11],"model":[12,91,103],"so":[14,95],"common.":[15],"Many":[16],"game":[17,31,61],"developers":[18],"now":[19],"face":[20],"a":[21,45,58,72,112],"new":[22],"challenge":[23],"of":[24,51,101],"getting":[25,34],"users":[26,35],"to":[27,36,47,82],"buy":[28,37],"in":[29,127],"rather":[32],"than":[33],"game.":[39,89],"In":[40],"this":[41],"paper,":[42],"we":[43,96],"present":[44],"method":[46],"predict":[48],"what":[49],"percentage":[50,121],"all":[52],"players":[53],"will":[54],"eventually":[55],"monetize":[56],"for":[57],"limited":[59],"follow-up":[60],"data":[62,68,84,129],"set.":[63,130],"We":[64],"assume":[65],"that":[66],"described":[70],"by":[71],"survival":[73],"analysis":[74],"based":[75],"cure":[76],"model,":[77],"which":[78,116],"can":[79],"be":[80],"applied":[81],"unlabeled":[83],"collected":[85],"from":[86],"any":[87],"The":[90,109],"has":[92],"latent":[93],"variables,":[94],"solve":[97],"optimal":[99],"parameters":[100],"with":[104],"Expectation":[106],"Maximization":[107],"algorithm.":[108],"result":[110],"simple":[113],"iterative":[114],"algorithm,":[115],"returns":[117],"estimated":[119,124],"rate":[126]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}