{"id":"https://openalex.org/W2915065882","doi":"https://doi.org/10.1145/3308558.3313672","title":"Entity Personalized Talent Search Models with Tree Interaction Features","display_name":"Entity Personalized Talent Search Models with Tree Interaction Features","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2915065882","doi":"https://doi.org/10.1145/3308558.3313672","mag":"2915065882"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313672","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313672","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313672","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039408873","display_name":"Cagri Ozcaglar","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":"Cagri Ozcaglar","raw_affiliation_strings":["LinkedIn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","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 Geyik","raw_affiliation_strings":["LinkedIn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063174064","display_name":"Brian Schmitz","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":"Brian Schmitz","raw_affiliation_strings":["LinkedIn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006252695","display_name":"Prakhar Sharma","orcid":"https://orcid.org/0009-0008-6681-4310"},"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":"Prakhar Sharma","raw_affiliation_strings":["LinkedIn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002592131","display_name":"Alex Shelkovnykov","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":"Alex Shelkovnykov","raw_affiliation_strings":["LinkedIn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101928071","display_name":"Yiming Ma","orcid":"https://orcid.org/0000-0001-8389-1424"},"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":"Yiming Ma","raw_affiliation_strings":["LinkedIn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027233139","display_name":"Erik Buchanan","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":"Erik Buchanan","raw_affiliation_strings":["LinkedIn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn","institution_ids":["https://openalex.org/I1316064682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1316064682"],"apc_list":null,"apc_paid":null,"fwci":1.5353,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83279156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3116","last_page":"3122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.824745774269104},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.796684205532074},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7080276608467102},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5611687898635864},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5600374341011047},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5561702847480774},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.49593695998191833},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47384172677993774},{"id":"https://openalex.org/keywords/personalized-search","display_name":"Personalized search","score":0.46682992577552795},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.4658162593841553},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42411521077156067},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41489535570144653},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.41414594650268555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.403247594833374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3269701302051544},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17237257957458496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.824745774269104},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.796684205532074},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7080276608467102},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5611687898635864},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5600374341011047},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5561702847480774},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.49593695998191833},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47384172677993774},{"id":"https://openalex.org/C2776945383","wikidata":"https://www.wikidata.org/wiki/Q7170667","display_name":"Personalized search","level":3,"score":0.46682992577552795},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.4658162593841553},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42411521077156067},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41489535570144653},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.41414594650268555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.403247594833374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3269701302051544},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17237257957458496},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3308558.3313672","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313672","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1902.09041","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.09041","pdf_url":"https://arxiv.org/pdf/1902.09041","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313672","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313672","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1534477342","https://openalex.org/W1736726159","https://openalex.org/W1972676371","https://openalex.org/W1987356990","https://openalex.org/W2008183828","https://openalex.org/W2069870183","https://openalex.org/W2076618162","https://openalex.org/W2108153239","https://openalex.org/W2113858518","https://openalex.org/W2116206254","https://openalex.org/W2125816831","https://openalex.org/W2131241448","https://openalex.org/W2139583468","https://openalex.org/W2151052953","https://openalex.org/W2152314154","https://openalex.org/W2219430387","https://openalex.org/W2295598076","https://openalex.org/W2487882825","https://openalex.org/W2511264801","https://openalex.org/W2516369484","https://openalex.org/W2798625028","https://openalex.org/W2884673574","https://openalex.org/W2890410227","https://openalex.org/W2952072594","https://openalex.org/W3098475235","https://openalex.org/W3099347681","https://openalex.org/W3102476541","https://openalex.org/W4289543150","https://openalex.org/W4290960952","https://openalex.org/W4300990101"],"related_works":["https://openalex.org/W3096801289","https://openalex.org/W78560407","https://openalex.org/W118769025","https://openalex.org/W618940730","https://openalex.org/W2988807058","https://openalex.org/W2129238307","https://openalex.org/W2109974859","https://openalex.org/W2116655434","https://openalex.org/W2905035743","https://openalex.org/W2280820848"],"abstract_inverted_index":{"Talent":[0,68,121],"Search":[1,69,122],"systems":[2],"aim":[3],"to":[4,13,51,149],"recommend":[5],"potential":[6],"candidates":[7],"who":[8],"are":[9],"a":[10,18,73],"good":[11],"match":[12],"the":[14,24,48,100,105,112],"hiring":[15],"needs":[16],"of":[17,23,75,114],"recruiter":[19,58],"expressed":[20],"in":[21,33,47,119,144],"terms":[22],"recruiter's":[25],"search":[26],"query":[27],"or":[28],"job":[29],"posting.":[30],"Past":[31],"work":[32],"this":[34,62,115],"domain":[35],"has":[36],"focused":[37],"on":[38],"linear":[39,77],"and":[40,81,88,107,128],"nonlinear":[41,94],"models":[42,80],"which":[43,71,140],"lack":[44],"preference":[45],"personalization":[46],"user-level":[49],"due":[50],"being":[52],"trained":[53,151],"only":[54],"with":[55,136],"globally":[56,150],"collected":[57],"activity":[59],"data.":[60],"In":[61],"paper,":[63],"we":[64,125],"propose":[65],"an":[66],"entity-personalized":[67,134],"model":[70,117,135],"utilizes":[72],"combination":[74],"generalized":[76],"mixed":[78],"(GLMix)":[79],"gradient":[82],"boosted":[83],"decision":[84],"tree":[85,95,137],"(GBDT)":[86],"models,":[87],"provides":[89],"personalized":[90],"talent":[91],"recommendations":[92],"using":[93],"interaction":[96,138],"features":[97],"generated":[98],"by":[99],"GBDT.":[101],"We":[102],"also":[103],"present":[104],"offline":[106,127],"online":[108,129],"system":[109],"architecture":[110],"for":[111],"productionization":[113],"hybrid":[116],"approach":[118],"our":[120,133,145],"systems.":[123],"Finally,":[124],"provide":[126],"experiment":[130],"results":[131],"benchmarking":[132],"features,":[139],"demonstrate":[141],"significant":[142],"improvements":[143],"precision":[146],"metrics":[147],"compared":[148],"non-personalized":[152],"models.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}