{"id":"https://openalex.org/W4389221664","doi":"https://doi.org/10.3233/faia230823","title":"Predictive Modeling and Analysis of Wordle Player Engagement: Insights and Recommendations for Future Operations","display_name":"Predictive Modeling and Analysis of Wordle Player Engagement: Insights and Recommendations for Future Operations","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389221664","doi":"https://doi.org/10.3233/faia230823"},"language":"en","primary_location":{"id":"doi:10.3233/faia230823","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230823","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230823","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230823","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071996563","display_name":"Changze Wu","orcid":"https://orcid.org/0000-0001-5015-4153"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changze Wu","raw_affiliation_strings":["School of Advanced Manufacturing, Fuzhou University Quanzhou, China","Changze WU, School of Advanced Manufacturing, Fuzhou University Quanzhou;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Advanced Manufacturing, Fuzhou University Quanzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Changze WU, School of Advanced Manufacturing, Fuzhou University Quanzhou;","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317609","display_name":"Yuyang Li","orcid":"https://orcid.org/0000-0001-6774-5320"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyang Li","raw_affiliation_strings":["School of Advanced Manufacturing, Fuzhou University Quanzhou, China","Yuyang LI, School of Advanced Manufacturing, Fuzhou University Quanzhou;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Advanced Manufacturing, Fuzhou University Quanzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Yuyang LI, School of Advanced Manufacturing, Fuzhou University Quanzhou;","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020442468","display_name":"Shanling Lin","orcid":"https://orcid.org/0000-0001-6153-862X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shanling Lin","raw_affiliation_strings":["School of Advanced Manufacturing, Fuzhou University Quanzhou, China","School of Advanced Manufacturing, Fuzhou University Quanzhou;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Advanced Manufacturing, Fuzhou University Quanzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"School of Advanced Manufacturing, Fuzhou University Quanzhou;","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091865553","display_name":"Xuhui Jiang","orcid":"https://orcid.org/0000-0002-1741-0781"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhui Jiang","raw_affiliation_strings":["School of Advanced Manufacturing, Fuzhou University Quanzhou, China","Xuhui JIANG, School of Advanced Manufacturing, Fuzhou University Quanzhou;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Advanced Manufacturing, Fuzhou University Quanzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Xuhui JIANG, School of Advanced Manufacturing, Fuzhou University Quanzhou;","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020442468"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82782151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.977400004863739,"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":0.977400004863739,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.695441484451294},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6892126798629761},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6726007461547852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5304794907569885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5018191337585449},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4684234857559204},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.44026830792427063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11549568176269531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.695441484451294},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6892126798629761},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6726007461547852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5304794907569885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5018191337585449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4684234857559204},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.44026830792427063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11549568176269531},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230823","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230823","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230823","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230823","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230823","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230823","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389221664.pdf","grobid_xml":"https://content.openalex.org/works/W4389221664.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2782136875","https://openalex.org/W2940844598","https://openalex.org/W4281393072","https://openalex.org/W4308345571"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2979236518","https://openalex.org/W2358318464","https://openalex.org/W2340870721","https://openalex.org/W3091955004"],"abstract_inverted_index":{"To":[0,49],"further":[1],"improve":[2,45],"the":[3,16,23,34,39,51,62,66,71,87,105,133],"stickiness":[4],"of":[5,54,117],"puzzle":[6],"game":[7,134],"players,":[8],"we":[9,21,32,64,127],"developed":[10],"a":[11,58,114],"prediction":[12,47,89,111,121],"model":[13,43,90,112],"based":[14],"on":[15,124],"BP":[17,40,67],"neural":[18,41,68],"network.":[19],"Firstly,":[20],"preprocessed":[22],"existing":[24],"data":[25,93,107],"to":[26,37,56,98],"remove":[27],"some":[28],"useless":[29],"information.":[30],"Then,":[31],"introduced":[33],"WOA":[35],"algorithm":[36,75],"optimize":[38],"network":[42,69],"and":[44,102],"its":[46],"accuracy.":[48,122],"predict":[50],"distribution":[52],"percentage":[53],"attempts":[55],"guess":[57],"given":[59],"word":[60],"in":[61],"future,":[63],"improved":[65],"using":[70],"multi-input":[72],"multi-output":[73],"CIWOA":[74],"(Cubic":[76],"map":[77],"improvement":[78],"whale":[79],"optimization":[80],"algorithm).":[81],"The":[82],"experimental":[83],"results":[84],"showed":[85],"that":[86],"WOA-BP":[88],"predicted":[91],"player":[92],"for":[94,132],"March":[95],"1,":[96],"2023,":[97],"be":[99],"between":[100],"20,000":[101],"25,000,":[103],"while":[104],"actual":[106],"was":[108],"19,655.":[109],"Our":[110],"had":[113],"small":[115],"margin":[116],"error,":[118],"indicating":[119],"good":[120],"Based":[123],"this":[125],"model,":[126],"provided":[128],"reasonable":[129],"adjustment":[130],"suggestions":[131],"company\u2019s":[135],"later":[136],"operations.":[137]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}