{"id":"https://openalex.org/W4396736277","doi":"https://doi.org/10.1145/3589334.3645523","title":"Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems","display_name":"Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396736277","doi":"https://doi.org/10.1145/3589334.3645523"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645523","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/A5032234550","display_name":"Kai Zheng","orcid":"https://orcid.org/0009-0006-3822-2815"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kai Zheng","raw_affiliation_strings":["Kuaishou Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057476607","display_name":"Haijun Zhao","orcid":"https://orcid.org/0009-0003-0803-2656"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijun Zhao","raw_affiliation_strings":["Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001615978","display_name":"Rui Huang","orcid":"https://orcid.org/0009-0007-0049-0176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Huang","raw_affiliation_strings":["Kuaishou Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041929848","display_name":"Beichuan Zhang","orcid":"https://orcid.org/0000-0003-1163-4036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beichuan Zhang","raw_affiliation_strings":["Kuaishou Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076034547","display_name":"Na Mou","orcid":"https://orcid.org/0009-0006-0125-1997"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Na Mou","raw_affiliation_strings":["Kuaishou Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904758","display_name":"Yanan Niu","orcid":"https://orcid.org/0009-0007-8662-3696"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanan Niu","raw_affiliation_strings":["Kuaishou Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083873109","display_name":"Yang Song","orcid":"https://orcid.org/0000-0002-1714-5527"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":["Kuaishou Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062939922","display_name":"Kun Gai","orcid":"https://orcid.org/0000-0002-3636-3618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Gai","raw_affiliation_strings":["Independent, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Independent, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5032234550"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6994,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.95923019,"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":"3621","last_page":"3631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.991599977016449,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.986299991607666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.8676682710647583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5859450101852417},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5773273706436157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36983904242515564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1890837848186493},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1338929533958435},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.058961331844329834}],"concepts":[{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.8676682710647583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5859450101852417},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5773273706436157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36983904242515564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1890837848186493},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1338929533958435},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.058961331844329834},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589334.3645523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645523","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":38,"referenced_works":["https://openalex.org/W8870360","https://openalex.org/W1648611394","https://openalex.org/W1992549066","https://openalex.org/W2054141820","https://openalex.org/W2115584760","https://openalex.org/W2132917208","https://openalex.org/W2507134384","https://openalex.org/W2512971201","https://openalex.org/W2513853793","https://openalex.org/W2622338386","https://openalex.org/W2723293840","https://openalex.org/W2783666221","https://openalex.org/W2902572901","https://openalex.org/W2908332126","https://openalex.org/W2912255075","https://openalex.org/W2948345531","https://openalex.org/W2962745591","https://openalex.org/W2963367478","https://openalex.org/W2973171206","https://openalex.org/W2982902390","https://openalex.org/W2997842202","https://openalex.org/W3012600133","https://openalex.org/W3028135017","https://openalex.org/W3080642298","https://openalex.org/W3083159507","https://openalex.org/W3093519337","https://openalex.org/W3101148092","https://openalex.org/W3101935024","https://openalex.org/W3106181667","https://openalex.org/W3133745687","https://openalex.org/W3155763527","https://openalex.org/W3171249018","https://openalex.org/W4252076394","https://openalex.org/W4255938282","https://openalex.org/W4284707446","https://openalex.org/W4292423901","https://openalex.org/W4385568236","https://openalex.org/W6600731417"],"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":{"The":[0,20,84,234],"Probability":[1,120],"Ranking":[2,121],"Principle":[3,122],"(PRP)":[4],"has":[5,251],"been":[6],"considered":[7],"as":[8,41,79,137,139,189],"the":[9,13,36,44,89,96,118,127,134,140,166,170,183,197,202,229,249,259],"foundational":[10],"standard":[11],"in":[12,81,88,130,169,201,226,241],"design":[14],"of":[15,28,62,91,133,143,210,228],"information":[16],"retrieval":[17,243],"(IR)":[18],"systems.":[19],"principle":[21,113],"requires":[22],"an":[23,110],"IR":[24,65],"module's":[25],"returned":[26],"list":[27,200],"results":[29,97,195],"to":[30,35,42,55,102,124,157,163,190,196,216,238,258],"be":[31,239],"ranked":[32,194,199],"with":[33,182],"respect":[34],"underlying":[37,141],"user":[38],"interests,":[39],"so":[40,188],"maximize":[43],"results'":[45],"utility.":[46],"Nevertheless,":[47],"we":[48,108],"point":[49],"out":[50],"that":[51,98,179],"it":[52],"is":[53,162,236],"inappropriate":[54],"indiscriminately":[56],"apply":[57],"PRP":[58],"through":[59],"every":[60],"stage":[61,93,132],"a":[63,149,176],"contemporary":[64],"system.":[66],"Such":[67],"systems":[68],"contain":[69],"multiple":[70],"stages":[71,172],"(e.g.,":[72],"retrieval,":[73],"pre-ranking,":[74],"ranking,":[75],"and":[76,173,222,244,254],"re-ranking":[77],"stages,":[78],"examined":[80],"this":[82,106],"paper).":[83],"selection":[85,128,167,186],"bias":[86,129,168,187],"inherent":[87],"model":[90,178],"each":[92,131],"significantly":[94],"influences":[95],"are":[99],"ultimately":[100],"presented":[101],"users.":[103,144],"To":[104],"address":[105],"issue,":[107],"propose":[109],"improved":[111],"ranking":[112,177,245],"for":[114],"multi-stage":[115],"systems,":[116],"namely":[117],"Generalized":[119],"(GPRP),":[123],"emphasize":[125],"both":[126,220,242],"system":[135],"pipeline":[136],"well":[138],"interest":[142],"We":[145,205],"realize":[146],"GPRP":[147],"via":[148],"unified":[150],"algorithmic":[151],"framework":[152],"named":[153],"Full":[154,213],"Stage":[155,214],"Learning":[156,215],"Rank.":[158],"Our":[159],"core":[160],"idea":[161],"first":[164],"estimate":[165],"subsequent":[171],"then":[174],"learn":[175],"best":[180],"complies":[181],"downstream":[184],"modules'":[185],"deliver":[191],"its":[192],"top":[193],"final":[198],"system's":[203],"output.":[204],"performed":[206],"extensive":[207],"experiment":[208],"evaluations":[209],"our":[211],"developed":[212],"Rank":[217],"solution,":[218],"using":[219],"simulations":[221],"online":[223],"A/B":[224],"tests":[225],"one":[227],"leading":[230],"short-video":[231],"recommendation":[232],"platforms.":[233],"algorithm":[235,250],"proved":[237],"effective":[240],"stages.":[246],"Since":[247],"deployed,":[248],"brought":[252],"consistent":[253],"significant":[255],"performance":[256],"gain":[257],"platform.":[260]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
