{"id":"https://openalex.org/W3133824264","doi":"https://doi.org/10.1145/3446132.3446414","title":"Harmonic Means between TF-IDF and Angle of Similarity to Identify Prospective Applicants in a Recruitment Setting","display_name":"Harmonic Means between TF-IDF and Angle of Similarity to Identify Prospective Applicants in a Recruitment Setting","publication_year":2020,"publication_date":"2020-12-24","ids":{"openalex":"https://openalex.org/W3133824264","doi":"https://doi.org/10.1145/3446132.3446414","mag":"3133824264"},"language":"en","primary_location":{"id":"doi:10.1145/3446132.3446414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446132.3446414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence","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/A5042713009","display_name":"Ronie C. Bituin","orcid":"https://orcid.org/0000-0001-7594-4282"},"institutions":[{"id":"https://openalex.org/I4210097892","display_name":"Foundation University","ror":"https://ror.org/00we17t20","country_code":"PH","type":"education","lineage":["https://openalex.org/I4210097892"]},{"id":"https://openalex.org/I4403386723","display_name":"Systems Plus College Foundation","ror":"https://ror.org/04pv8zt35","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386723"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Ronie C. Bituin","raw_affiliation_strings":["Systems Plus College Foundation, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Plus College Foundation, Philippines","institution_ids":["https://openalex.org/I4210097892","https://openalex.org/I4403386723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057234366","display_name":"Ronielle B. Antonio","orcid":"https://orcid.org/0009-0009-4296-8566"},"institutions":[{"id":"https://openalex.org/I197219897","display_name":"Angeles University Foundation","ror":"https://ror.org/04mdk1103","country_code":"PH","type":"education","lineage":["https://openalex.org/I197219897"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Ronielle B. Antonio","raw_affiliation_strings":["City College of Angeles, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City College of Angeles, Philippines","institution_ids":["https://openalex.org/I197219897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110592054","display_name":"James A. Esquivel","orcid":null},"institutions":[{"id":"https://openalex.org/I197219897","display_name":"Angeles University Foundation","ror":"https://ror.org/04mdk1103","country_code":"PH","type":"education","lineage":["https://openalex.org/I197219897"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"James A. Esquivel","raw_affiliation_strings":["Angeles University Foundation, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Angeles University Foundation, Philippines","institution_ids":["https://openalex.org/I197219897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21213568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","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/T11550","display_name":"Text and Document Classification Technologies","score":0.9940999746322632,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9883999824523926,"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/outsourcing","display_name":"Outsourcing","score":0.732993483543396},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7014361619949341},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.6781966686248779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5545986294746399},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5377516746520996},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.5203404426574707},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5196760296821594},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4538610279560089},{"id":"https://openalex.org/keywords/tf\u2013idf","display_name":"tf\u2013idf","score":0.4503190219402313},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4479953646659851},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.3419071137905121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2532435655593872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2392261028289795},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.21946671605110168},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21426129341125488},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.20478418469429016},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11312985420227051},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.0937548577785492}],"concepts":[{"id":"https://openalex.org/C46934059","wikidata":"https://www.wikidata.org/wiki/Q61515","display_name":"Outsourcing","level":2,"score":0.732993483543396},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7014361619949341},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.6781966686248779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5545986294746399},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5377516746520996},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.5203404426574707},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5196760296821594},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4538610279560089},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.4503190219402313},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4479953646659851},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3419071137905121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2532435655593872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2392261028289795},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.21946671605110168},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21426129341125488},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.20478418469429016},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11312985420227051},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0937548577785492},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3446132.3446414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446132.3446414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1846261984","https://openalex.org/W2000914452","https://openalex.org/W2053494745","https://openalex.org/W2114080886","https://openalex.org/W2114850831","https://openalex.org/W2156772624","https://openalex.org/W2281056506","https://openalex.org/W2586131832","https://openalex.org/W2757311323","https://openalex.org/W2898339904","https://openalex.org/W2941179688","https://openalex.org/W2950856799","https://openalex.org/W2964295521","https://openalex.org/W3037675529","https://openalex.org/W3102793471","https://openalex.org/W4295126927","https://openalex.org/W6600367688"],"related_works":["https://openalex.org/W2358200898","https://openalex.org/W4231184955","https://openalex.org/W2382433580","https://openalex.org/W2325765407","https://openalex.org/W2788012436","https://openalex.org/W618293728","https://openalex.org/W2291845669","https://openalex.org/W200604156","https://openalex.org/W2386723501","https://openalex.org/W1676437101"],"abstract_inverted_index":{"Recruitment":[0],"industry":[1],"is":[2,9,111,133,145],"better":[3],"and":[4,22,47,71,95],"bigger":[5],"than":[6],"ever.":[7],"There":[8],"no":[10],"denying":[11],"that":[12,85,130],"technology":[13],"plays":[14],"a":[15,30,65,103,117,141,149,157],"major":[16],"role":[17],"in":[18,121,135,156],"helping":[19],"recruiters":[20,114],"evolve":[21],"adopt":[23],"with":[24],"the":[25,34,37,45,86,137],"pace":[26],"of":[27,50,58,67,119],"recruitment":[28],"on":[29,107],"global":[31],"scale.":[32],"With":[33],"increasing":[35],"population,":[36],"demand":[38],"for":[39],"manpower":[40],"has":[41],"been":[42],"relative":[43,90],"to":[44,76,91,102,147,153],"growth":[46],"challenging":[48],"needs":[49],"recruiters;":[51],"be":[52,128,154],"it":[53,144],"online":[54],"or":[55,69],"traditional":[56],"way":[57],"outsourcing.":[59],"In":[60],"this":[61],"study,":[62],"we":[63],"propose":[64],"combination":[66],"angle":[68],"similarity":[70,132],"term":[72],"frequency\u2013inverse":[73],"document":[74],"frequency":[75],"easily":[77],"classify":[78],"prospective":[79,123],"job":[80],"applicants.":[81,124],"The":[82],"results":[83],"show":[84],"two":[87,138],"models":[88],"are":[89,100],"each":[92],"other,":[93],"value-wise":[94],"harmonic":[96,131],"means.":[97],"Their":[98],"values":[99],"synchronized":[101],"certain":[104],"extent":[105],"based":[106],"our":[108],"query.":[109],"This":[110],"helpful":[112],"because":[113],"may":[115],"save":[116],"lot":[118],"time":[120],"classifying":[122],"It":[125],"can":[126],"also":[127],"concluded":[129],"viable":[134],"combining":[136],"models.":[139],"As":[140],"future":[142],"work,":[143],"possible":[146],"develop":[148],"full":[150],"featured":[151],"application":[152],"deployed":[155],"production":[158],"setting.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
