{"id":"https://openalex.org/W4281624287","doi":"https://doi.org/10.1145/3477495.3531942","title":"Automatic Expert Selection for Multi-Scenario and Multi-Task Search","display_name":"Automatic Expert Selection for Multi-Scenario and Multi-Task Search","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4281624287","doi":"https://doi.org/10.1145/3477495.3531942"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531942","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531942","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2205.14321","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021732448","display_name":"Xinyu Zou","orcid":"https://orcid.org/0000-0002-4582-5992"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Zou","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111264873","display_name":"Zhi Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhi Hu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090526192","display_name":"Yiming Zhao","orcid":"https://orcid.org/0000-0002-1390-6034"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiming Zhao","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111565635","display_name":"Xuchu Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuchu Ding","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023862460","display_name":"Zhongyi Liu","orcid":"https://orcid.org/0000-0001-9478-8107"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongyi Liu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112839153","display_name":"Chenliang Li","orcid":"https://orcid.org/0000-0003-3144-6374"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenliang Li","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100618738","display_name":"Aixin Sun","orcid":"https://orcid.org/0000-0003-0764-4258"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Aixin Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3852,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.96711467,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1535","last_page":"1544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9973999857902527,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9973999857902527,"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/T10028","display_name":"Topic Modeling","score":0.9965999722480774,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.992900013923645,"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":0.7850009799003601},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7175444960594177},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7022659182548523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44373178482055664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3788180947303772},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08646297454833984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7850009799003601},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7175444960594177},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7022659182548523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44373178482055664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3788180947303772},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08646297454833984},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3477495.3531942","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531942","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2205.14321","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.14321","pdf_url":"https://arxiv.org/pdf/2205.14321","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"pmh:oai:arXiv.org:2205.14321","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.14321","pdf_url":"https://arxiv.org/pdf/2205.14321","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4665684877","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u96f6\u6837\u672c\u548c\u5c0f\u6837\u672c\u6587\u672c\u8fc7\u6ee4\u6280\u672f\u7814\u7a76","funder_award_id":"61872278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1703030490","https://openalex.org/W2150884987","https://openalex.org/W2617039999","https://openalex.org/W2799125281","https://openalex.org/W2807006888","https://openalex.org/W2809290718","https://openalex.org/W2903852246","https://openalex.org/W2953318060","https://openalex.org/W2962989965","https://openalex.org/W2963877604","https://openalex.org/W3034744380","https://openalex.org/W3087931390","https://openalex.org/W3094431459","https://openalex.org/W3114034064","https://openalex.org/W3114202091","https://openalex.org/W3123878450","https://openalex.org/W3131444225","https://openalex.org/W3166104088","https://openalex.org/W3173707674","https://openalex.org/W3209943551","https://openalex.org/W3210268599","https://openalex.org/W4226399778","https://openalex.org/W4255421341","https://openalex.org/W4287121196","https://openalex.org/W4287180160","https://openalex.org/W4293718192","https://openalex.org/W4321319232"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W2389015757","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Multi-scenario":[0,97],"learning":[1,47],"(MSL)":[2],"enables":[3,129],"a":[4,30,90,110,156,185],"service":[5],"provider":[6],"to":[7,32,131,163],"cater":[8],"for":[9,16,51,96,149,170,207],"users'":[10],"fine-grained":[11],"demands":[12],"by":[13,21],"separating":[14],"services":[15],"different":[17,137,150],"user":[18],"sectors,":[19],"e.g.,":[20,37],"user's":[22],"geographical":[23],"region.":[24],"Under":[25],"each":[26,153,171],"scenario":[27],"there":[28],"is":[29,66,161],"need":[31],"optimize":[33],"multiple":[34,199],"task-specific":[35],"targets":[36],"click":[38],"through":[39],"rate":[40],"and":[41,53,69,83,98,107,139,167],"conversion":[42],"rate,":[43],"known":[44],"as":[45],"multi-task":[46,121],"(MTL).":[48],"Recent":[49],"solutions":[50],"MSL":[52,82,106],"MTL":[54,108],"are":[55],"mostly":[56],"based":[57],"on":[58,198],"the":[59,141,180],"multi-gate":[60],"mixture-of-experts":[61],"(MMoE)":[62],"architecture.":[63],"MMoE":[64],"structure":[65,116],"typically":[67],"static":[68],"its":[70],"design":[71,128],"requires":[72],"domain-specific":[73],"knowledge,":[74],"making":[75],"it":[76],"less":[77],"effective":[78],"in":[79],"handling":[80],"both":[81,105],"MTL.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88],"propose":[89],"novel":[91,157],"Automatic":[92],"Expert":[93],"Selection":[94],"framework":[95,112],"Multi-task":[99],"search,":[100],"named":[101],"AESM2.":[102],"AESM2":[103,119,183,202],"integrates":[104],"into":[109],"unified":[111],"with":[113],"an":[114],"automatic":[115],"learning.":[117],"Specifically,":[118],"stacks":[120],"layers":[122],"over":[123,174,184],"multi-scenario":[124],"layers.":[125],"This":[126],"hierarchical":[127],"us":[130],"flexibly":[132],"establish":[133],"intrinsic":[134],"connections":[135],"between":[136],"scenarios,":[138],"at":[140],"same":[142],"time":[143],"also":[144,193],"supports":[145],"high-level":[146],"feature":[147],"extraction":[148],"tasks.":[151],"At":[152],"multi-scenario/multi-task":[154],"layer,":[155],"expert":[158],"selection":[159],"algorithm":[160],"proposed":[162],"automatically":[164],"identify":[165],"scenario-/task-specific":[166],"shared":[168],"experts":[169],"input.":[172],"Experiments":[173],"two":[175],"real-world":[176],"large-scale":[177],"datasets":[178],"demonstrate":[179],"effectiveness":[181],"of":[182,187],"battery":[186],"strong":[188],"baselines.":[189],"Online":[190],"A/B":[191],"test":[192],"shows":[194],"substantial":[195],"performance":[196],"gain":[197],"metrics.":[200],"Currently,":[201],"has":[203],"been":[204],"deployed":[205],"online":[206],"serving":[208],"major":[209],"traffic.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":12}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
