{"id":"https://openalex.org/W4352981330","doi":"https://doi.org/10.1109/iscmi56532.2022.10068466","title":"Empirical Evaluation of Word Representation Methods in the Context of Candidate-Job Recommender Systems","display_name":"Empirical Evaluation of Word Representation Methods in the Context of Candidate-Job Recommender Systems","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4352981330","doi":"https://doi.org/10.1109/iscmi56532.2022.10068466"},"language":"en","primary_location":{"id":"doi:10.1109/iscmi56532.2022.10068466","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscmi56532.2022.10068466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 9th International Conference on Soft Computing &amp; Machine Intelligence (ISCMI)","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/A5018898564","display_name":"Gazmira Brahushi","orcid":null},"institutions":[{"id":"https://openalex.org/I2802125700","display_name":"Durham College","ror":"https://ror.org/03f9vhh95","country_code":"CA","type":"education","lineage":["https://openalex.org/I2802125700"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gazmira Brahushi","raw_affiliation_strings":["Durham College,Oshawa,ON,Canada","Durham College, Oshawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham College,Oshawa,ON,Canada","institution_ids":["https://openalex.org/I2802125700"]},{"raw_affiliation_string":"Durham College, Oshawa, ON, Canada","institution_ids":["https://openalex.org/I2802125700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103352408","display_name":"Uzair Ahmad","orcid":"https://orcid.org/0009-0003-1354-9828"},"institutions":[{"id":"https://openalex.org/I2802125700","display_name":"Durham College","ror":"https://ror.org/03f9vhh95","country_code":"CA","type":"education","lineage":["https://openalex.org/I2802125700"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Uzair Ahmad","raw_affiliation_strings":["Durham College,Oshawa,ON,Canada","Durham College, Oshawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham College,Oshawa,ON,Canada","institution_ids":["https://openalex.org/I2802125700"]},{"raw_affiliation_string":"Durham College, Oshawa, ON, Canada","institution_ids":["https://openalex.org/I2802125700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802125700"],"apc_list":null,"apc_paid":null,"fwci":0.1388,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58203158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"183","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9990000128746033,"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":0.9955000281333923,"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/cosine-similarity","display_name":"Cosine similarity","score":0.7832136750221252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6954917907714844},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6503176689147949},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6363368034362793},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6085181832313538},{"id":"https://openalex.org/keywords/tf\u2013idf","display_name":"tf\u2013idf","score":0.6020611524581909},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5488709211349487},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5351105332374573},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5246094465255737},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48651498556137085},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4387739300727844},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4278010129928589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40977078676223755},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3610111474990845},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.30780020356178284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13577479124069214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11970403790473938},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.10956454277038574}],"concepts":[{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.7832136750221252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6954917907714844},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6503176689147949},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6363368034362793},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6085181832313538},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.6020611524581909},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5488709211349487},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5351105332374573},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5246094465255737},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48651498556137085},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4387739300727844},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4278010129928589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40977078676223755},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3610111474990845},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.30780020356178284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13577479124069214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11970403790473938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.10956454277038574},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscmi56532.2022.10068466","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscmi56532.2022.10068466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 9th International Conference on Soft Computing &amp; Machine Intelligence (ISCMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2021581601","https://openalex.org/W2131744502","https://openalex.org/W2133401789","https://openalex.org/W2250539671","https://openalex.org/W2883730939","https://openalex.org/W2890410227","https://openalex.org/W2915065882","https://openalex.org/W3020026958","https://openalex.org/W3100944737","https://openalex.org/W6679775712"],"related_works":["https://openalex.org/W4390349266","https://openalex.org/W3170122200","https://openalex.org/W2951075339","https://openalex.org/W1966742602","https://openalex.org/W4226161247","https://openalex.org/W3134944010","https://openalex.org/W3160516639","https://openalex.org/W3008856892","https://openalex.org/W3109760095","https://openalex.org/W3005912893"],"abstract_inverted_index":{"In":[0,131],"this":[1,82],"paper,":[2],"we":[3,41,85,111],"have":[4],"evaluated":[5],"our":[6,87],"hybrid":[7],"two-way":[8],"recommendation":[9,30],"system":[10,31,88,144],"with":[11,32,158],"expert-ranked":[12],"resumes":[13],"and":[14,37,60,64,104,119,135,143,190],"job":[15,38,54,61],"descriptions.":[16,39],"The":[17,150],"aim":[18],"of":[19,50,77,115,169],"the":[20,25,29,48,71,91,98,113,124,137,167,173,176,185],"paper":[21],"is":[22,154,179,182],"to":[23,52,55,58,62,89,163,184],"compare":[24],"lists":[26,34,118,121,142,189],"produced":[27],"by":[28,122],"human-ranked":[33,141,188],"for":[35,94,101],"candidate":[36],"Firstly,":[40],"set":[42],"up":[43],"four":[44],"scenarios":[45],"such":[46],"as":[47],"matching":[49],"resume":[51,57],"resumes,":[53,63],"jobs,":[56,59],"prepared":[65],"a":[66,75,159],"human":[67,116],"ranking":[68,93,168],"based":[69],"on":[70,74,81,156],"content":[72],"similarity":[73,129,186],"total":[76],"400":[78],"documents.":[79],"Based":[80],"annotated":[83],"corpus":[84],"tested":[86],"calculate":[90],"cosine-similarity-based":[92],"each":[95],"scenario":[96,171],"using":[97,123],"Global":[99],"Vectors":[100],"Word":[102],"Embeddings":[103],"Term":[105],"Frequency-Inverse":[106],"Document":[107],"Frequency":[108],"representations.":[109],"Finally,":[110],"compared":[112,162],"similarities":[114],"ranked":[117,145],"system-ranked":[120],"Rank":[125],"Biased":[126],"Overlap":[127],"(RBO)":[128],"score.":[130],"both":[132],"methods,":[133],"GloVe":[134,164],"TF-IDF,":[136],"median":[138,152],"RBO":[139],"between":[140,175,187],"are":[146],"greater":[147],"than":[148],"0.5.":[149],"highest":[151],"score":[153],"achieved":[155],"TF-IDF":[157],"slight":[160],"difference":[161],"apart":[165],"from":[166],"resume-to-resume":[170],"where":[172],"variation":[174],"two":[177],"methods":[178],"considerable.":[180],"This":[181],"due":[183],"program-generated":[191],"lists.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
