{"id":"https://openalex.org/W2560665331","doi":"https://doi.org/10.1109/ictc.2016.7763364","title":"Predicting churn in mobile free-to-play games","display_name":"Predicting churn in mobile free-to-play games","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2560665331","doi":"https://doi.org/10.1109/ictc.2016.7763364","mag":"2560665331"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2016.7763364","doi":"https://doi.org/10.1109/ictc.2016.7763364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2016.7763364","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2016 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5045038402","display_name":"Sang-Kwang Lee","orcid":"https://orcid.org/0009-0001-3793-2608","observed_orcids":["https://orcid.org/0009-0001-3793-2608"]},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Kwang Lee","raw_affiliation_strings":["Game Technology Research Section, Electronics and Telecommunications Research Institute, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Game Technology Research Section, Electronics and Telecommunications Research Institute, Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074381877","display_name":"Seung-Jin Hong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-Jin Hong","raw_affiliation_strings":["School of Games Hongik University, Sejong, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Games Hongik University, Sejong, South Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028220953","display_name":"Seong-Il Yang","orcid":"https://orcid.org/0000-0002-8821-7540","observed_orcids":["https://orcid.org/0000-0002-8821-7540"]},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Il Yang","raw_affiliation_strings":["Game Technology Research Section, Electronics and Telecommunications Research Institute, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Game Technology Research Section, Electronics and Telecommunications Research Institute, Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074567338","display_name":"Hunjoo P. Lee","orcid":"https://orcid.org/0000-0002-7427-3322","observed_orcids":["https://orcid.org/0000-0002-7427-3322"]},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hunjoo Lee","raw_affiliation_strings":["Game Technology Research Section, Electronics and Telecommunications Research Institute, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Game Technology Research Section, Electronics and Telecommunications Research Institute, Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8983,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92840857,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1046","last_page":"1048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":1.0,"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":1.0,"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/T11197","display_name":"Digital Games and Media","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/player-retention","display_name":"player retention","score":0.9459999799728394},{"id":"https://openalex.org/keywords/in-game-purchases","display_name":"in-game purchases","score":0.7850000262260437},{"id":"https://openalex.org/keywords/player-behavior-modeling","display_name":"player behavior modeling","score":0.6019999980926514},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.8560000061988831},{"id":"https://openalex.org/keywords/video-game-industry","display_name":"video game industry","score":0.35499998927116394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302105069160461},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7999699115753174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5808536410331726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49428343772888184},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09655439853668213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2016.7763364","doi":"https://doi.org/10.1109/ictc.2016.7763364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2016.7763364","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"International Conference on Information and Communication Technology Convergence (ICTC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2016 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W73914705","https://openalex.org/W1918096142","https://openalex.org/W2003528492","https://openalex.org/W2087097402","https://openalex.org/W2148143831","https://openalex.org/W2202704248"],"related_works":["https://openalex.org/W4221126309","https://openalex.org/W2003528492","https://openalex.org/W7042672248","https://openalex.org/W3023258177","https://openalex.org/W2763992219","https://openalex.org/W3048807190","https://openalex.org/W2943661037","https://openalex.org/W3197935989","https://openalex.org/W2608554340","https://openalex.org/W4311780236"],"abstract_inverted_index":{"In":[0,20],"the":[1,43,50,53,57,64,79,82,92],"mobile":[2],"game":[3,26,44],"industry,":[4],"Free-to-Play":[5],"games":[6],"are":[7],"dominantly":[8],"released,":[9],"and":[10,14,45,77],"therefore":[11],"player":[12,27,40,54,58],"retention":[13],"purchases":[15],"have":[16],"become":[17],"important":[18],"issues.":[19],"this":[21],"paper,":[22],"we":[23,38,62,70],"propose":[24],"a":[25,35],"model":[28,85,94],"for":[29,102],"predicting":[30],"when":[31],"players":[32],"will":[33],"leave":[34],"game.":[36],"Firstly,":[37],"define":[39],"churn":[41,55,101],"in":[42],"extract":[46],"features":[47],"that":[48,91],"contain":[49],"properties":[51],"of":[52,66,81],"from":[56,74],"logs.":[59],"And":[60],"then":[61],"tackle":[63],"problem":[65],"imbalanced":[67],"datasets.":[68],"Finally,":[69],"exploit":[71],"classification":[72],"algorithms":[73],"machine":[75],"learning":[76],"evaluate":[78],"performance":[80],"proposed":[83,93],"prediction":[84],"using":[86],"cross-validation.":[87],"Experimental":[88],"results":[89],"show":[90],"has":[95],"high":[96],"accuracy":[97],"enough":[98],"to":[99],"predict":[100],"real-world":[103],"application.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-12-16T00:00:00"}
