{"id":"https://openalex.org/W4391306637","doi":"https://doi.org/10.1109/smc53992.2023.10394109","title":"Learning R\u00e9sum\u00e9 Embeddings with Search Data and Transformers","display_name":"Learning R\u00e9sum\u00e9 Embeddings with Search Data and Transformers","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391306637","doi":"https://doi.org/10.1109/smc53992.2023.10394109"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394109","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5093809924","display_name":"Jonathan Hourany","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jonathan Hourany","raw_affiliation_strings":["Hired,New York City,U.S.A","Hired, New York City, U.S.A"],"affiliations":[{"raw_affiliation_string":"Hired,New York City,U.S.A","institution_ids":[]},{"raw_affiliation_string":"Hired, New York City, U.S.A","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093809925","display_name":"Aaron Zira","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron Zira","raw_affiliation_strings":["Hired,New York City,U.S.A","Hired, New York City, U.S.A"],"affiliations":[{"raw_affiliation_string":"Hired,New York City,U.S.A","institution_ids":[]},{"raw_affiliation_string":"Hired, New York City, U.S.A","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093809926","display_name":"Ignacio Avas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ignacio Avas","raw_affiliation_strings":["Hired,New York City,U.S.A","Hired, New York City, U.S.A"],"affiliations":[{"raw_affiliation_string":"Hired,New York City,U.S.A","institution_ids":[]},{"raw_affiliation_string":"Hired, New York City, U.S.A","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039471127","display_name":"Nicolas Thi\u00e9baut","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicolas Thiebaut","raw_affiliation_strings":["Hired,New York City,U.S.A","Hired, New York City, U.S.A"],"affiliations":[{"raw_affiliation_string":"Hired,New York City,U.S.A","institution_ids":[]},{"raw_affiliation_string":"Hired, New York City, U.S.A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093809924"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19671886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"2979","last_page":"2983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9697999954223633,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9697999954223633,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9502000212669373,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9484999775886536,"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/transformer","display_name":"Transformer","score":0.6272163391113281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5844437479972839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3627317547798157},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2126210331916809},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1435977816581726},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07837280631065369}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6272163391113281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5844437479972839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3627317547798157},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2126210331916809},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1435977816581726},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07837280631065369}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10394109","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1840435438","https://openalex.org/W2157331557","https://openalex.org/W2162833336","https://openalex.org/W2171590421","https://openalex.org/W2282821441","https://openalex.org/W2594633041","https://openalex.org/W2799051010","https://openalex.org/W2912083425","https://openalex.org/W2914304175","https://openalex.org/W2914386313","https://openalex.org/W2970641574","https://openalex.org/W3154065069","https://openalex.org/W4281687075","https://openalex.org/W4286571678","https://openalex.org/W4306955484","https://openalex.org/W4391156274","https://openalex.org/W6679775712","https://openalex.org/W6684050148","https://openalex.org/W6734194636","https://openalex.org/W6739901393","https://openalex.org/W6748452836","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"In":[0,33],"typical":[1],"search":[2,47,77,98,156],"engines,":[3],"users":[4,22,128],"are":[5],"exposed":[6],"to":[7,42,61,75,89,122],"an":[8],"interface":[9],"that":[10,49,71,112,120,136],"combines":[11],"free-form":[12],"textual":[13],"fields":[14],"and":[15,107,129,139],"hard":[16],"filters.":[17],"After":[18],"the":[19,76,124,152],"initial":[20],"query,":[21],"implicitly":[23],"express":[24],"their":[25,140],"preferences":[26],"through":[27],"clicks,":[28],"purchases,":[29],"or":[30],"connection":[31],"requests.":[32],"this":[34,101],"paper,":[35],"we":[36,103],"propose":[37],"leveraging":[38],"implicit":[39,82],"user":[40,83],"feedback":[41],"learn":[43],"similarity":[44,55,70,95,110,147],"metrics":[45,148],"between":[46],"results":[48,119],"receive":[50,123],"attention":[51,126],"together.":[52],"The":[53],"learned":[54,80],"model":[56,111],"can":[57],"notably":[58],"be":[59],"used":[60],"serve":[62],"recommendations.":[63],"It":[64],"captures":[65],"a":[66,87,91,109],"form":[67],"of":[68,118],"latent":[69],"is":[72],"not":[73],"known":[74],"engine":[78],"but":[79],"from":[81,97,127,155],"feedback.":[84],"We":[85],"introduce":[86],"method":[88],"create":[90],"dataset":[92,153],"suited":[93],"for":[94,116],"learning":[96,106],"data.":[99,157],"Using":[100],"dataset,":[102],"use":[104],"contrastive":[105],"train":[108],"outputs":[113],"large":[114],"scores":[115,131],"pairs":[117],"tend":[121],"same":[125],"low":[130],"otherwise.":[132],"Our":[133],"experiments":[134],"show":[135],"BERT":[137],"models":[138],"siamese":[141],"equivalents":[142],"(Sentence":[143],"BERT)":[144],"produce":[145],"meaningful":[146],"when":[149],"fine-tuned":[150],"on":[151],"built":[154]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
