{"id":"https://openalex.org/W3175717370","doi":"https://doi.org/10.1145/3450614.3461674","title":"Vacancy Improver: A Demo towards skill-based debiased Vacancies","display_name":"Vacancy Improver: A Demo towards skill-based debiased Vacancies","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3175717370","doi":"https://doi.org/10.1145/3450614.3461674","mag":"3175717370"},"language":"en","primary_location":{"id":"doi:10.1145/3450614.3461674","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450614.3461674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization","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/A5085181159","display_name":"Maaike de Boer","orcid":"https://orcid.org/0000-0002-2775-8351"},"institutions":[{"id":"https://openalex.org/I148297040","display_name":"Netherlands Organisation for Applied Scientific Research","ror":"https://ror.org/01bnjb948","country_code":"NL","type":"funder","lineage":["https://openalex.org/I148297040"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Maaike H.T. de Boer","raw_affiliation_strings":["TNO, The Netherlands"],"affiliations":[{"raw_affiliation_string":"TNO, The Netherlands","institution_ids":["https://openalex.org/I148297040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030462611","display_name":"Erik Boertjes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erik Boertjes","raw_affiliation_strings":["BloomingData, The Netherlands"],"affiliations":[{"raw_affiliation_string":"BloomingData, The Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055342061","display_name":"Mike Wilmer","orcid":null},"institutions":[{"id":"https://openalex.org/I148297040","display_name":"Netherlands Organisation for Applied Scientific Research","ror":"https://ror.org/01bnjb948","country_code":"NL","type":"funder","lineage":["https://openalex.org/I148297040"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mike Wilmer","raw_affiliation_strings":["TNO, The Netherlands"],"affiliations":[{"raw_affiliation_string":"TNO, The Netherlands","institution_ids":["https://openalex.org/I148297040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077364645","display_name":"Steven Vethman","orcid":"https://orcid.org/0000-0001-5435-8671"},"institutions":[{"id":"https://openalex.org/I148297040","display_name":"Netherlands Organisation for Applied Scientific Research","ror":"https://ror.org/01bnjb948","country_code":"NL","type":"funder","lineage":["https://openalex.org/I148297040"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Steven Vethman","raw_affiliation_strings":["TNO, The Netherlands"],"affiliations":[{"raw_affiliation_string":"TNO, The Netherlands","institution_ids":["https://openalex.org/I148297040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034041953","display_name":"Ajaya Adhikari","orcid":"https://orcid.org/0000-0003-2518-7740"},"institutions":[{"id":"https://openalex.org/I148297040","display_name":"Netherlands Organisation for Applied Scientific Research","ror":"https://ror.org/01bnjb948","country_code":"NL","type":"funder","lineage":["https://openalex.org/I148297040"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ajaya Adhikari","raw_affiliation_strings":["TNO, The Netherlands"],"affiliations":[{"raw_affiliation_string":"TNO, The Netherlands","institution_ids":["https://openalex.org/I148297040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084280678","display_name":"Jok Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I148297040","display_name":"Netherlands Organisation for Applied Scientific Research","ror":"https://ror.org/01bnjb948","country_code":"NL","type":"funder","lineage":["https://openalex.org/I148297040"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jok Tang","raw_affiliation_strings":["TNO, The Netherlands"],"affiliations":[{"raw_affiliation_string":"TNO, The Netherlands","institution_ids":["https://openalex.org/I148297040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085181159"],"corresponding_institution_ids":["https://openalex.org/I148297040"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08242586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9955000281333923,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9955000281333923,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9925000071525574,"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/T10028","display_name":"Topic Modeling","score":0.9911999702453613,"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/vacancy-defect","display_name":"Vacancy defect","score":0.842456579208374},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.735113263130188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6467816233634949},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5040847063064575},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48287299275398254},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4207102358341217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33359843492507935},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33074939250946045},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14269453287124634},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10190731287002563},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09200415015220642},{"id":"https://openalex.org/keywords/condensed-matter-physics","display_name":"Condensed matter physics","score":0.07281866669654846}],"concepts":[{"id":"https://openalex.org/C114221277","wikidata":"https://www.wikidata.org/wiki/Q899743","display_name":"Vacancy defect","level":2,"score":0.842456579208374},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.735113263130188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467816233634949},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5040847063064575},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48287299275398254},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4207102358341217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33359843492507935},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33074939250946045},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14269453287124634},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10190731287002563},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09200415015220642},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.07281866669654846},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3450614.3461674","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450614.3461674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"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":2,"referenced_works":["https://openalex.org/W2105971942","https://openalex.org/W2972413484"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W2082178659","https://openalex.org/W2808200865","https://openalex.org/W2945706271","https://openalex.org/W4387435415","https://openalex.org/W2114169842","https://openalex.org/W2535808783"],"abstract_inverted_index":{"Many":[0],"vacancy":[1,33,46,82,111],"texts":[2,83],"do":[3],"not":[4],"reach":[5],"their":[6,106],"full":[7],"potential;":[8],"vacancies":[9],"are":[10,84],"too":[11,13],"generic,":[12],"specific,":[14],"or":[15],"biased.":[16],"In":[17,90,113],"this":[18],"demo":[19],"paper,":[20],"we":[21,95,116],"propose":[22],"a":[23,31,91],"research":[24],"prototype":[25,99],"that":[26,97],"helps":[27],"users":[28,104],"to":[29,86,102,108,118],"create":[30,109],"better":[32,110],"text":[34,47],"using":[35,53],"AI":[36,88],"techniques":[37],"in":[38,105],"the":[39,49,87,98,120,127],"domain":[40],"of":[41,69,80],"Labor":[42],"Market.":[43],"The":[44,65],"proposed":[45],"from":[48],"user":[50,93],"is":[51],"analysed":[52],"an":[54,77],"function":[55],"classifier,":[56],"skill":[57,62],"extractor,":[58],"bias":[59],"detector":[60],"and":[61,72,125],"overlap":[63],"algorithm.":[64],"Competent":[66],"database":[67],"consisting":[68],"functions,":[70],"descriptions":[71],"skills":[73],"as":[74,76],"well":[75],"annotated":[78],"set":[79],"Dutch":[81],"fed":[85],"techniques.":[89],"small":[92],"evaluation,":[94],"show":[96],"has":[100],"potential":[101],"help":[103],"need":[107],"texts.":[112],"future":[114],"work,":[115],"aim":[117],"test":[119],"tool":[121],"with":[122],"more":[123],"participants":[124],"improve":[126],"different":[128],"functionalities.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}