{"id":"https://openalex.org/W2808631100","doi":"https://doi.org/10.24963/ijcai.2018/492","title":"A Joint Learning Approach to Intelligent Job Interview Assessment","display_name":"A Joint Learning Approach to Intelligent Job Interview Assessment","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808631100","doi":"https://doi.org/10.24963/ijcai.2018/492","mag":"2808631100"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/492","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/492","pdf_url":"https://www.ijcai.org/proceedings/2018/0492.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0492.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075007087","display_name":"Dazhong Shen","orcid":"https://orcid.org/0000-0002-3947-4153"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhong Shen","raw_affiliation_strings":["Anhui Province Key Lab of Big Data Analysis and Application, University of S&T of China","Baidu Talent Intelligence Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Lab of Big Data Analysis and Application, University of S&T of China","institution_ids":[]},{"raw_affiliation_string":"Baidu Talent Intelligence Center","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["Baidu Talent Intelligence Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Talent Intelligence Center","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768322","display_name":"Chen Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhu","raw_affiliation_strings":["Baidu Talent Intelligence Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Talent Intelligence Center","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025292786","display_name":"Tong Xu","orcid":"https://orcid.org/0000-0003-4246-5386"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Xu","raw_affiliation_strings":["Anhui Province Key Lab of Big Data Analysis and Application, University of S&T of China","Baidu Talent Intelligence Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Lab of Big Data Analysis and Application, University of S&T of China","institution_ids":[]},{"raw_affiliation_string":"Baidu Talent Intelligence Center","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023893507","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0002-7443-6267"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["Baidu Talent Intelligence Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Talent Intelligence Center","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I4210129579","display_name":"National Engineering Laboratory of Deep Learning Technology and Application","ror":"https://ror.org/03z8p5796","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129579"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Anhui Province Key Lab of Big Data Analysis and Application, University of S&T of China","Baidu Talent Intelligence Center","Business Intelligence Lab, Baidu Research","National Engineering Laboratory of Deep Learning Technology and Application, China","Anhui Province Key Lab of Big Data Analysis and Application, University of S&T of China; Baidu Talent Intelligence Center; National Engineering Laboratory of Deep Learning Technology and Application, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Lab of Big Data Analysis and Application, University of S&T of China","institution_ids":[]},{"raw_affiliation_string":"Baidu Talent Intelligence Center","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Business Intelligence Lab, Baidu Research","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"National Engineering Laboratory of Deep Learning Technology and Application, China","institution_ids":["https://openalex.org/I4210129579"]},{"raw_affiliation_string":"Anhui Province Key Lab of Big Data Analysis and Application, University of S&T of China; Baidu Talent Intelligence Center; National Engineering Laboratory of Deep Learning Technology and Application, China","institution_ids":["https://openalex.org/I4210129579","https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.49,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.92433517,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3542","last_page":"3548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9858999848365784,"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/job-interview","display_name":"Job interview","score":0.8050493001937866},{"id":"https://openalex.org/keywords/job-performance","display_name":"Job performance","score":0.5473209023475647},{"id":"https://openalex.org/keywords/job-analysis","display_name":"Job analysis","score":0.5399839878082275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.538569450378418},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5285569429397583},{"id":"https://openalex.org/keywords/interview","display_name":"Interview","score":0.498920202255249},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.4762006998062134},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4195508658885956},{"id":"https://openalex.org/keywords/job-attitude","display_name":"Job attitude","score":0.4157015085220337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3358139991760254},{"id":"https://openalex.org/keywords/job-satisfaction","display_name":"Job satisfaction","score":0.22558102011680603},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.22150558233261108}],"concepts":[{"id":"https://openalex.org/C2776587543","wikidata":"https://www.wikidata.org/wiki/Q850171","display_name":"Job interview","level":2,"score":0.8050493001937866},{"id":"https://openalex.org/C174954385","wikidata":"https://www.wikidata.org/wiki/Q6206740","display_name":"Job performance","level":3,"score":0.5473209023475647},{"id":"https://openalex.org/C58346731","wikidata":"https://www.wikidata.org/wiki/Q627339","display_name":"Job analysis","level":3,"score":0.5399839878082275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.538569450378418},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5285569429397583},{"id":"https://openalex.org/C24845683","wikidata":"https://www.wikidata.org/wiki/Q178651","display_name":"Interview","level":2,"score":0.498920202255249},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.4762006998062134},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4195508658885956},{"id":"https://openalex.org/C150706916","wikidata":"https://www.wikidata.org/wiki/Q6206702","display_name":"Job attitude","level":4,"score":0.4157015085220337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3358139991760254},{"id":"https://openalex.org/C2718322","wikidata":"https://www.wikidata.org/wiki/Q629463","display_name":"Job satisfaction","level":2,"score":0.22558102011680603},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.22150558233261108},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/492","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/492","pdf_url":"https://www.ijcai.org/proceedings/2018/0492.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/492","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/492","pdf_url":"https://www.ijcai.org/proceedings/2018/0492.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4699999988079071,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1064288964","display_name":null,"funder_award_id":"61727809","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1869028341","display_name":null,"funder_award_id":"61703386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5375682351","display_name":null,"funder_award_id":"91746301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808631100.pdf","grobid_xml":"https://content.openalex.org/works/W2808631100.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W2003996632","https://openalex.org/W2024018222","https://openalex.org/W2033593667","https://openalex.org/W2077469664","https://openalex.org/W2105621451","https://openalex.org/W2128424290","https://openalex.org/W2135790056","https://openalex.org/W2171343266","https://openalex.org/W2288972158","https://openalex.org/W2483593449","https://openalex.org/W2512706923","https://openalex.org/W2743064457","https://openalex.org/W2774963710","https://openalex.org/W2963409084","https://openalex.org/W2963868026","https://openalex.org/W3098931577","https://openalex.org/W3101380508","https://openalex.org/W4231510805","https://openalex.org/W4250884797"],"related_works":["https://openalex.org/W3046190687","https://openalex.org/W2241466599","https://openalex.org/W2516348321","https://openalex.org/W132413899","https://openalex.org/W2112368856","https://openalex.org/W2951237581","https://openalex.org/W3035260353","https://openalex.org/W1485557866","https://openalex.org/W2155952228","https://openalex.org/W4383906841"],"abstract_inverted_index":{"The":[0],"job":[1,41,77,105,121,127,138,171,179],"interview":[2,42,52,62,78,85,110,122,148,180],"is":[3,45],"considered":[4],"as":[5,144],"one":[6],"of":[7,59,119,135,161,178],"the":[8,25,29,40,56,60,82,116,125,159],"most":[9],"essential":[10],"tasks":[11],"in":[12,23,67,130,137,170],"talent":[13],"recruitment,":[14],"which":[15,163],"forms":[16],"a":[17,72,90,133,175],"bridge":[18],"between":[19],"candidates":[20],"and":[21,109,147,173],"employers":[22],"fitting":[24],"right":[26,30],"person":[27],"for":[28],"job.":[31],"While":[32],"substantial":[33],"efforts":[34],"have":[35,48],"been":[36],"made":[37],"on":[38,98,154],"improving":[39],"process,":[43],"it":[44],"inevitable":[46],"to":[47,55,75,102,166],"biased":[49],"or":[50],"inconsistent":[51],"assessment":[53,79],"due":[54],"subjective":[57],"nature":[58],"traditional":[61],"process.":[63],"To":[64],"this":[65,68],"end,":[66],"paper,":[69],"we":[70,88],"propose":[71],"novel":[73],"approach":[74],"intelligent":[76],"by":[80],"learning":[81],"large-scale":[83],"real-world":[84,155],"data.":[86],"Specifically,":[87],"develop":[89],"latent":[91],"variable":[92],"model":[93,104],"named":[94],"Joint":[95],"Learning":[96],"Model":[97],"Interview":[99],"Assessment":[100],"(JLMIA)":[101],"jointly":[103],"description,":[106],"candidate":[107],"resume":[108],"assessment.":[111,181],"JLMIA":[112],"can":[113,140,164],"effectively":[114],"learn":[115],"representative":[117],"perspectives":[118],"different":[120],"processes":[123],"from":[124],"successful":[126],"application":[128],"records":[129],"history.":[131],"Therefore,":[132],"variety":[134],"applications":[136],"interviews":[139,172],"be":[141],"enabled,":[142],"such":[143],"person-job":[145],"fit":[146],"question":[149],"recommendation.":[150],"Extensive":[151],"experiments":[152],"conducted":[153],"data":[156],"clearly":[157],"validate":[158],"effectiveness":[160],"JLMIA,":[162],"lead":[165],"substantially":[167],"less":[168],"bias":[169],"provide":[174],"valuable":[176],"understanding":[177]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
