{"id":"https://openalex.org/W4396723302","doi":"https://doi.org/10.1145/3589334.3645474","title":"Whole Page Unbiased Learning to Rank","display_name":"Whole Page Unbiased Learning to Rank","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396723302","doi":"https://doi.org/10.1145/3589334.3645474"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645474","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","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/A5065066091","display_name":"Haitao Mao","orcid":"https://orcid.org/0009-0000-8510-3102"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haitao Mao","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089307887","display_name":"Lixin Zou","orcid":"https://orcid.org/0000-0001-6755-871X"},"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":"Lixin Zou","raw_affiliation_strings":["Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004130985","display_name":"Yujia Zheng","orcid":"https://orcid.org/0009-0003-5225-6366"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yujia Zheng","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025911407","display_name":"Xiaokai Chu","orcid":"https://orcid.org/0000-0001-7407-2005"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaokai Chu","raw_affiliation_strings":["Baidu Inc., Shanghai, USA"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Shanghai, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011324370","display_name":"Jiashu Zhao","orcid":"https://orcid.org/0000-0001-9770-7616"},"institutions":[{"id":"https://openalex.org/I75381157","display_name":"Wilfrid Laurier University","ror":"https://ror.org/00fn7gb05","country_code":"CA","type":"education","lineage":["https://openalex.org/I75381157"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiashu Zhao","raw_affiliation_strings":["Wilfrid Laurier University, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Wilfrid Laurier University, Ontario, Canada","institution_ids":["https://openalex.org/I75381157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391116","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-8967-8525"},"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":"Qian Wang","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054482111","display_name":"Dawei Yin","orcid":"https://orcid.org/0000-0002-8846-2001"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Yin","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5065066091"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.3475,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62557739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1431","last_page":"1440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9976000189781189,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9976000189781189,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9937999844551086,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9682999849319458,"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":0.6553293466567993},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6190332770347595},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3643798828125},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.17091482877731323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553293466567993},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6190332770347595},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3643798828125},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.17091482877731323}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589334.3645474","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","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":31,"referenced_works":["https://openalex.org/W1514928307","https://openalex.org/W1972802558","https://openalex.org/W1974360117","https://openalex.org/W1979908638","https://openalex.org/W1992549066","https://openalex.org/W2007815473","https://openalex.org/W2026784708","https://openalex.org/W2054655579","https://openalex.org/W2069002575","https://openalex.org/W2069077938","https://openalex.org/W2096438175","https://openalex.org/W2099213975","https://openalex.org/W2122708083","https://openalex.org/W2150291618","https://openalex.org/W2151226328","https://openalex.org/W2155587858","https://openalex.org/W2170051049","https://openalex.org/W2340526403","https://openalex.org/W2507134384","https://openalex.org/W2566147423","https://openalex.org/W2769473018","https://openalex.org/W2797400361","https://openalex.org/W2897785891","https://openalex.org/W2899331914","https://openalex.org/W2911802745","https://openalex.org/W2963331808","https://openalex.org/W2997842202","https://openalex.org/W3105712174","https://openalex.org/W3170841641","https://openalex.org/W3210297745","https://openalex.org/W3212141861"],"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/W3199233695","https://openalex.org/W1968289844"],"abstract_inverted_index":{"The":[0],"page":[1,70],"presentation":[2],"biases":[3,62,81,110,138,176],"in":[4,67,84],"the":[5,11,77,147,166,175,193,196],"information":[6],"retrieval":[7],"system,":[8],"especially":[9],"on":[10,188],"click":[12,44],"behavior,":[13],"is":[14],"a":[15,98,122,152,189],"well-known":[16],"challenge":[17],"that":[18],"hinders":[19],"improving":[20],"ranking":[21,40],"models'":[22],"performance":[23],"with":[24,42,170,182],"implicit":[25],"user":[26,124,167],"feedback.":[27],"Unbiased":[28,103],"Learning":[29,104,157],"to":[30,36,53,90,105,108,133,158,163],"Rank~(ULTR)":[31],"algorithms":[32,49],"are":[33,50],"then":[34],"proposed":[35],"learn":[37],"an":[38,91],"unbiased":[39,156],"model":[41,126,169],"biased":[43],"data.":[45],"However,":[46],"most":[47],"existing":[48,143],"specifically":[51],"designed":[52],"mitigate":[54,174],"position-related":[55],"bias,":[56,59],"e.g.,":[57],"trust":[58],"without":[60],"considering":[61],"induced":[63,75,111,177],"by":[64,76,112,142,178],"other":[65],"features":[66,115,181],"search":[68,93],"result":[69],"presentation(SERP),":[71],"e.g.":[72],"attractive":[73],"bias":[74],"multimedia.":[78],"Unfortunately,":[79],"those":[80],"widely":[82],"exist":[83],"industrial":[85],"systems":[86],"and":[87,135,173],"may":[88],"lead":[89],"unsatisfactory":[92],"experience.":[94],"Therefore,":[95],"we":[96,150],"introduce":[97],"new":[99],"problem,":[100],"i.e.,":[101],"whole-page":[102,113,155],"Rank(WP-ULTR),":[106],"aiming":[107],"handle":[109],"SERP":[114,180],"simultaneously.":[116],"It":[117],"presents":[118],"tremendous":[119],"challenges:":[120],"(1)":[121],"suitable":[123],"behavior":[125,128,168],"(user":[127],"hypothesis)":[129],"can":[130],"be":[131,140],"hard":[132],"find;":[134],"(2)":[136],"complex":[137],"cannot":[139],"handled":[141],"algorithms.":[144],"To":[145],"address":[146],"above":[148],"challenges,":[149],"propose":[151],"Bias":[153],"Agnostic":[154],"rank":[159],"algorithm,":[160],"named":[161],"BAL,":[162],"automatically":[164],"find":[165],"causal":[171],"discovery":[172],"multiple":[179],"no":[183],"specific":[184],"design.":[185],"Experimental":[186],"results":[187],"real-world":[190],"dataset":[191],"verify":[192],"effectiveness":[194],"of":[195],"BAL.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
