{"id":"https://openalex.org/W4406459363","doi":"https://doi.org/10.1109/bigdata62323.2024.10825459","title":"Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs","display_name":"Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459363","doi":"https://doi.org/10.1109/bigdata62323.2024.10825459"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077889225","display_name":"Md. Ahsanul Kabir","orcid":"https://orcid.org/0000-0003-3171-8659"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Md Ahsanul Kabir","raw_affiliation_strings":["CareerBuilder LLC,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CareerBuilder LLC,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064355644","display_name":"Kareem Abdelfatah","orcid":"https://orcid.org/0000-0001-7329-0940"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kareem Abdelfatah","raw_affiliation_strings":["CareerBuilder LLC,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CareerBuilder LLC,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112509760","display_name":"S. He","orcid":"https://orcid.org/0000-0002-0955-7388"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shushan He","raw_affiliation_strings":["CareerBuilder LLC,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CareerBuilder LLC,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030822548","display_name":"Mohammed Korayem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Korayem","raw_affiliation_strings":["CareerBuilder LLC,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CareerBuilder LLC,Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044451399","display_name":"Mohammad Al Hasan","orcid":"https://orcid.org/0000-0002-8279-1023"},"institutions":[{"id":"https://openalex.org/I4388446366","display_name":"Indiana University Indianapolis","ror":"https://ror.org/03eftgw80","country_code":"US","type":"education","lineage":["https://openalex.org/I4388446366","https://openalex.org/I592451"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Al Hasan","raw_affiliation_strings":["Indiana University Indianapolis,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University Indianapolis,USA","institution_ids":["https://openalex.org/I4388446366","https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28475135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2334","last_page":"2339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9980999827384949,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.6737266778945923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33854061365127563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737266778945923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33854061365127563}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2105482032","https://openalex.org/W2897356390","https://openalex.org/W2965373594","https://openalex.org/W2986039727","https://openalex.org/W3004244221","https://openalex.org/W3007271522","https://openalex.org/W3170989320","https://openalex.org/W3174822636","https://openalex.org/W3194603213","https://openalex.org/W4293250578","https://openalex.org/W6631943919","https://openalex.org/W6755207826","https://openalex.org/W6766003122","https://openalex.org/W6766673545","https://openalex.org/W6767280078","https://openalex.org/W6797724423","https://openalex.org/W6810182332"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"As":[0],"recruitment":[1,11,67],"and":[2,8,55],"talent":[3],"acquisition":[4],"have":[5,13,40],"become":[6,14],"more":[7,9,15],"competitive,":[10],"firms":[12],"sophisticated":[16],"in":[17,37,65],"using":[18],"machine":[19],"learning":[20],"(ML)":[21],"methodologies":[22,36],"for":[23,99],"optimizing":[24],"their":[25],"day":[26,28],"to":[27,43,50,83],"activities.":[29],"But,":[30],"most":[31],"of":[32,74,79,113,131],"published":[33],"ML":[34],"based":[35,92],"this":[38,58,100],"area":[39],"been":[41],"limited":[42],"the":[44,66,129,132],"tasks":[45],"like":[46],"candidate":[47],"matching,":[48,52],"job":[49,53],"skill":[51],"classification":[54],"normalization.":[56],"In":[57],"work,":[59],"we":[60,103],"discuss":[61],"a":[62,105,117],"novel":[63],"task":[64],"domain,":[68],"namely,":[69],"application":[70],"count":[71],"forecasting,":[72],"motivation":[73],"which":[75,109],"comes":[76],"from":[77,121,125],"designing":[78],"effective":[80],"outreach":[81],"activities":[82],"attract":[84],"qualified":[85],"applicants.":[86],"We":[87],"show":[88,128],"that":[89],"existing":[90,136],"auto-regressive":[91],"time":[93],"series":[94],"forecasting":[95],"methods":[96],"perform":[97],"poorly":[98],"task.":[101],"Henceforth,":[102],"propose":[104],"multimodal":[106],"LM-based":[107],"model":[108],"fuses":[110],"job-posting":[111],"metadata":[112],"various":[114],"modalities":[115],"through":[116],"simple":[118],"encoder.":[119],"Experiments":[120],"large":[122],"real-life":[123],"datasets":[124],"CareerBuilder":[126],"LLC":[127],"effectiveness":[130],"proposed":[133],"method":[134],"over":[135],"state-of-the-art":[137],"methods.":[138]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
