{"id":"https://openalex.org/W2890376809","doi":"https://doi.org/10.1145/3269206.3272012","title":"In-Session Personalization for Talent Search","display_name":"In-Session Personalization for Talent Search","publication_year":2018,"publication_date":"2018-10-17","ids":{"openalex":"https://openalex.org/W2890376809","doi":"https://doi.org/10.1145/3269206.3272012","mag":"2890376809"},"language":"en","primary_location":{"id":"doi:10.1145/3269206.3272012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3272012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","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/A5071195197","display_name":"Sahin Cem Geyik","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahin Cem Geyik","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085811342","display_name":"Vijay Dialani","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Dialani","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425909","display_name":"Meng Meng","orcid":"https://orcid.org/0000-0001-7240-6454"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meng Meng","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002511145","display_name":"Ryan Smith","orcid":"https://orcid.org/0000-0002-4448-185X"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Smith","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6605,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74718829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2107","last_page":"2115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9983000159263611,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/session","display_name":"Session (web analytics)","score":0.8910186886787415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8232698440551758},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7886224389076233},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6691205501556396},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6329940557479858},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5540258884429932},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4995920658111572},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48914816975593567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3754340708255768},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31066620349884033},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27323412895202637}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8910186886787415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8232698440551758},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7886224389076233},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6691205501556396},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6329940557479858},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5540258884429932},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4995920658111572},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48914816975593567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3754340708255768},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31066620349884033},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27323412895202637},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3269206.3272012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3272012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W3431530","https://openalex.org/W1435366594","https://openalex.org/W1526726828","https://openalex.org/W1539739406","https://openalex.org/W1746680969","https://openalex.org/W1880262756","https://openalex.org/W1911551976","https://openalex.org/W2023599408","https://openalex.org/W2039522160","https://openalex.org/W2040870580","https://openalex.org/W2045453095","https://openalex.org/W2052261215","https://openalex.org/W2069870183","https://openalex.org/W2077723394","https://openalex.org/W2089213632","https://openalex.org/W2121806078","https://openalex.org/W2123016239","https://openalex.org/W2132827946","https://openalex.org/W2138859735","https://openalex.org/W2142635246","https://openalex.org/W2149814409","https://openalex.org/W2153170359","https://openalex.org/W2168405694","https://openalex.org/W2187431538","https://openalex.org/W2219430387","https://openalex.org/W2257198563","https://openalex.org/W2295739661","https://openalex.org/W2474041037","https://openalex.org/W2490805536","https://openalex.org/W2516369484","https://openalex.org/W2519411794","https://openalex.org/W2577408049","https://openalex.org/W3099347681","https://openalex.org/W4290960952","https://openalex.org/W4292022450","https://openalex.org/W4294730403"],"related_works":["https://openalex.org/W96612179","https://openalex.org/W2770234245","https://openalex.org/W2566006169","https://openalex.org/W4296749040","https://openalex.org/W2987774938","https://openalex.org/W4230197055","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W632915154","https://openalex.org/W3012257603"],"abstract_inverted_index":{"Previous":[0],"efforts":[1],"in":[2],"recommendation":[3,61],"of":[4,13,23,39,70,139,196,202],"candidates":[5,24,41],"for":[6,85,134,157],"talent":[7],"search":[8,17,51,89,103],"followed":[9],"the":[10,30,37,46,67,71,75,94,99,102,121,140,158,170,174,190,193,200],"general":[11],"pattern":[12],"receiving":[14],"an":[15,111,164],"initial":[16,88],"criteria":[18],"and":[19,73],"generating":[20],"a":[21,26,59,145],"set":[22],"utilizing":[25],"pre-trained":[27],"model.":[28],"Traditionally,":[29],"generated":[31],"recommendations":[32,77],"are":[33,57],"final,":[34],"that":[35],"is,":[36],"list":[38],"potential":[40],"is":[42,154],"not":[43],"modified":[44],"unless":[45],"user":[47,178],"explicitly":[48],"changes":[49],"his/her":[50],"criteria.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,92,109,130,143],"proposing":[58],"candidate":[60,76,122,141],"model":[62],"which":[63,119,151,168],"takes":[64],"into":[65,124],"account":[66],"immediate":[68],"feedback":[69,100],"user,":[72],"updates":[74,169],"at":[78],"each":[79,135],"step.":[80],"This":[81],"setting":[82],"also":[83,162],"allows":[84],"very":[86],"uninformative":[87],"queries,":[90],"since":[91],"pinpoint":[93],"user's":[95],"intent":[96,112,132,152,171],"due":[97,176],"to":[98,149,177,180],"during":[101],"session.":[104,160],"To":[105],"achieve":[106,181],"our":[107,197,203],"goal,":[108],"employ":[110],"clustering":[113],"method":[114],"based":[115],"on":[116],"topic":[117],"modeling":[118],"separates":[120],"space":[123],"meaningful,":[125],"possibly":[126],"overlapping,":[127],"subsets":[128],"(which":[129],"call":[131],"clusters)":[133],"position.":[136],"On":[137],"top":[138],"segments,":[142],"apply":[144],"multi-armed":[146],"bandit":[147],"approach":[148],"choose":[150],"cluster":[153],"more":[155],"appropriate":[156],"current":[159],"We":[161],"present":[163],"online":[165,194],"learning":[166],"scheme":[167],"clusters":[172],"within":[173],"session,":[175],"feedback,":[179],"further":[182],"personalization.":[183],"Our":[184],"offline":[185],"experiments":[186],"as":[187,189],"well":[188],"results":[191],"from":[192],"deployment":[195],"solution":[198],"demonstrate":[199],"benefits":[201],"proposed":[204],"methodology.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}