{"id":"https://openalex.org/W4413410914","doi":"https://doi.org/10.1142/s0218126625504626","title":"Personalized Employment Information Recommendation Based on Data Mining and Decision Tree-Random Forest Algorithm","display_name":"Personalized Employment Information Recommendation Based on Data Mining and Decision Tree-Random Forest Algorithm","publication_year":2025,"publication_date":"2025-08-22","ids":{"openalex":"https://openalex.org/W4413410914","doi":"https://doi.org/10.1142/s0218126625504626"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126625504626","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625504626","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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":null,"display_name":"Yeping Wang","orcid":"https://orcid.org/0009-0004-6781-2932"},"institutions":[{"id":"https://openalex.org/I3133283408","display_name":"Baekseok Arts University","ror":"https://ror.org/006gp7f65","country_code":"KR","type":"education","lineage":["https://openalex.org/I3133283408"]},{"id":"https://openalex.org/I35919505","display_name":"Baekseok University","ror":"https://ror.org/045qyjz25","country_code":"KR","type":"education","lineage":["https://openalex.org/I35919505"]},{"id":"https://openalex.org/I4210102207","display_name":"College of Tourism","ror":"https://ror.org/018xbyb32","country_code":"BG","type":"education","lineage":["https://openalex.org/I4210102207"]},{"id":"https://openalex.org/I4210163123","display_name":"Korea Christian University","ror":"https://ror.org/05ar41694","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210163123"]}],"countries":["BG","KR"],"is_corresponding":true,"raw_author_name":"Yeping Wang","raw_affiliation_strings":["Department of Education, Graduate School of Christianity, Baekseok University, Seoul 06695, Republic of Korea","Hotel Management Department, Shanxi Vocational University of Culture and Tourism, TaiYuan 030000, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0004-6781-2932","affiliations":[{"raw_affiliation_string":"Department of Education, Graduate School of Christianity, Baekseok University, Seoul 06695, Republic of Korea","institution_ids":["https://openalex.org/I4210163123","https://openalex.org/I3133283408","https://openalex.org/I35919505"]},{"raw_affiliation_string":"Hotel Management Department, Shanxi Vocational University of Culture and Tourism, TaiYuan 030000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210102207"]}]},{"author_position":"last","author":{"id":null,"display_name":"Eunchul Lee","orcid":"https://orcid.org/0009-0008-7755-6556"},"institutions":[{"id":"https://openalex.org/I4210102207","display_name":"College of Tourism","ror":"https://ror.org/018xbyb32","country_code":"BG","type":"education","lineage":["https://openalex.org/I4210102207"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Eunchul Lee","raw_affiliation_strings":["Hotel Management Department, Shanxi Vocational University of Culture and Tourism, TaiYuan 030000, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0008-7755-6556","affiliations":[{"raw_affiliation_string":"Hotel Management Department, Shanxi Vocational University of Culture and Tourism, TaiYuan 030000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210102207"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3133283408","https://openalex.org/I35919505","https://openalex.org/I4210102207","https://openalex.org/I4210163123"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24554807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9221000075340271,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/T13812","display_name":"AI and HR Technologies","score":0.9221000075340271,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7766890525817871},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6748970150947571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6106604933738708},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6036434173583984},{"id":"https://openalex.org/keywords/id3-algorithm","display_name":"ID3 algorithm","score":0.4411028027534485},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43935149908065796},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.42828500270843506},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.41731739044189453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3694204092025757},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.3645842671394348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34385088086128235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18786129355430603}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7766890525817871},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6748970150947571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6106604933738708},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6036434173583984},{"id":"https://openalex.org/C183931066","wikidata":"https://www.wikidata.org/wiki/Q1653378","display_name":"ID3 algorithm","level":5,"score":0.4411028027534485},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43935149908065796},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.42828500270843506},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.41731739044189453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3694204092025757},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.3645842671394348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34385088086128235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18786129355430603},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126625504626","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625504626","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W4387623955","https://openalex.org/W4391103362","https://openalex.org/W4392173753","https://openalex.org/W4392979613","https://openalex.org/W4396594915","https://openalex.org/W4396753451","https://openalex.org/W4400351731","https://openalex.org/W4405056398","https://openalex.org/W4405838390"],"related_works":["https://openalex.org/W2030894524","https://openalex.org/W2592385415","https://openalex.org/W1982169401","https://openalex.org/W1648970942","https://openalex.org/W2143508752","https://openalex.org/W2348694184","https://openalex.org/W2188355725","https://openalex.org/W3197772267","https://openalex.org/W2167102385","https://openalex.org/W2622249843"],"abstract_inverted_index":{"The":[0,142,202],"current":[1,243],"employment":[2,52,63,82,94,108,125,131,244,255],"system":[3,86],"has":[4,194],"many":[5],"problems":[6,239],"in":[7,197,241],"talent":[8,212],"selection":[9],"and":[10,18,38,60,75,88,101,110,114,157,162,200,209,246,257],"matching,":[11],"such":[12],"as":[13],"the":[14,24,29,39,49,58,77,85,91,96,102,107,115,122,130,147,150,166,172,187,191,207,216,224,229,238,242,250,254,258],"mismatch":[15],"of":[16,26,31,41,62,81,90,124,133,184,211,218,253,261],"people":[17],"posts":[19],"caused":[20],"by":[21,34],"information":[22,64,109,219],"asymmetry,":[23,220],"difficulty":[25],"accurately":[27],"considering":[28],"characteristics":[30],"complex":[32],"talents":[33],"traditional":[35],"screening":[36],"methods":[37],"lack":[40],"a":[42,67,178,233],"dynamic":[43],"adjustment":[44],"mechanism":[45],"to":[46,48,56,73,120,129,164,228,236,248],"adapt":[47],"rapidly":[50],"changing":[51],"market.":[53],"In":[54,182],"order":[55],"improve":[57],"accuracy":[59,199,208],"preference":[61],"recommendation":[65,79,97,139,185,188,198,225],"results,":[66],"data":[68,92,151],"mining":[69,93,152],"model":[70,189],"is":[71,99,118,140],"introduced":[72],"design":[74,89],"study":[76],"personalized":[78,137],"method":[80,204],"information.":[83,126],"First,":[84],"development":[87],"system,":[95,245],"framework":[98],"described":[100],"features":[103,111],"are":[104,112],"extracted.":[105],"Second,":[106],"clustered,":[113],"Apriori":[116],"algorithm":[117,193],"used":[119],"analyze":[121],"association":[123],"Finally,":[127],"according":[128,227],"needs":[132],"different":[134,169],"job":[135],"seekers,":[136],"intelligent":[138],"provided.":[141],"experimental":[143],"results":[144],"show":[145],"that":[146],"paper":[148],"uses":[149],"algorithm-decision":[153],"tree-random":[154],"forest":[155],"(DT-RF)":[156],"other":[158],"algorithms":[159],"(SVM,":[160],"KNN":[161],"AdaBoost)":[163],"compare":[165],"performance":[167,196],"on":[168],"platforms.":[170],"Under":[171],"Hadoop":[173],"platform,":[174],"it":[175],"can":[176,221],"have":[177],"higher":[179],"processing":[180],"time.":[181],"terms":[183],"effect,":[186],"using":[190],"DT-RF":[192],"better":[195],"RMSE.":[201],"combination":[203],"effectively":[205],"improves":[206,215],"efficiency":[210],"recommendation,":[213],"significantly":[214],"problem":[217],"flexibly":[222],"adjust":[223],"strategy":[226],"market":[230,256],"dynamics,":[231],"provides":[232],"practical":[234],"way":[235],"solve":[237],"existing":[240],"helps":[247],"promote":[249],"efficient":[251],"operation":[252],"rational":[259],"allocation":[260],"talents.":[262]},"counts_by_year":[],"updated_date":"2026-01-14T00:41:55.809242","created_date":"2025-10-10T00:00:00"}