{"id":"https://openalex.org/W4385568035","doi":"https://doi.org/10.1145/3580305.3599851","title":"Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model","display_name":"Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385568035","doi":"https://doi.org/10.1145/3580305.3599851"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599851","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5001276052","display_name":"Xiang-Rong Sheng","orcid":"https://orcid.org/0009-0006-4864-574X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang-Rong Sheng","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042921648","display_name":"Jingyue Gao","orcid":"https://orcid.org/0009-0003-3154-5206"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyue Gao","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055174576","display_name":"Yueyao Cheng","orcid":"https://orcid.org/0009-0005-6086-7612"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyao Cheng","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016852628","display_name":"Siran Yang","orcid":"https://orcid.org/0009-0001-0272-3718"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siran Yang","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010308985","display_name":"Shuguang Han","orcid":"https://orcid.org/0009-0003-9001-8369"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Han","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101786215","display_name":"Hongbo Deng","orcid":"https://orcid.org/0000-0002-9659-5111"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Deng","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102883869","display_name":"Yuning Jiang","orcid":"https://orcid.org/0000-0003-1665-3025"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuning Jiang","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739665","display_name":"Jian Xu","orcid":"https://orcid.org/0000-0003-3111-1005"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xu","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073856221","display_name":"Bo Zheng","orcid":"https://orcid.org/0000-0002-4037-6315"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zheng","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5001276052"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":4.9076,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94571411,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4813","last_page":"4822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9908999800682068,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9882000088691711,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8362096548080444},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.8320913314819336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281833648681641},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6040531992912292},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5550176501274109},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5445459485054016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47413206100463867},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4620479941368103},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3731454312801361},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3471992015838623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2433706820011139},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.18626105785369873}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8362096548080444},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.8320913314819336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281833648681641},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6040531992912292},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5550176501274109},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5445459485054016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47413206100463867},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4620479941368103},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3731454312801361},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3471992015838623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2433706820011139},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.18626105785369873},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599851","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1976517433","https://openalex.org/W2030978506","https://openalex.org/W2040337753","https://openalex.org/W2061879449","https://openalex.org/W2069870183","https://openalex.org/W2076618162","https://openalex.org/W2091158010","https://openalex.org/W2108862644","https://openalex.org/W2115584760","https://openalex.org/W2158698691","https://openalex.org/W2171033594","https://openalex.org/W2475334473","https://openalex.org/W2548570154","https://openalex.org/W2602856279","https://openalex.org/W2604202871","https://openalex.org/W2607662938","https://openalex.org/W2723293840","https://openalex.org/W2902365885","https://openalex.org/W2959353218","https://openalex.org/W2973198305","https://openalex.org/W2994069334","https://openalex.org/W3001835520","https://openalex.org/W3096591391","https://openalex.org/W3101681922","https://openalex.org/W3102243698","https://openalex.org/W3105136066","https://openalex.org/W3153557349","https://openalex.org/W3156054180","https://openalex.org/W3167758559","https://openalex.org/W3208543775","https://openalex.org/W3209943551","https://openalex.org/W4224903494","https://openalex.org/W4226337336","https://openalex.org/W4290928026","https://openalex.org/W4306317417","https://openalex.org/W4306317487","https://openalex.org/W6608287133"],"related_works":["https://openalex.org/W2112815677","https://openalex.org/W2093104230","https://openalex.org/W4390874210","https://openalex.org/W4384918963","https://openalex.org/W2128027845","https://openalex.org/W4386184937","https://openalex.org/W4394728283","https://openalex.org/W1493875009","https://openalex.org/W2105231718","https://openalex.org/W4388844349"],"abstract_inverted_index":{"Despite":[0],"the":[1,10,22,26,30,36,50,55,86,91,105,111,132,142,147,151,158,166,175,180,183,196,229],"development":[2],"of":[3,25,85,107,165,177,233],"ranking":[4,51,56,58,143,217],"optimization":[5],"techniques,":[6],"pointwise":[7,27,75],"loss":[8,28,59],"remains":[9],"dominating":[11],"approach":[12,127,214],"for":[13,138,150],"click-through":[14,112],"rate":[15],"prediction.":[16],"It":[17],"can":[18,32,65,129],"be":[19,33,66,162],"attributed":[20],"to":[21,89,117,161],"calibration":[23,219],"ability":[24,144],"since":[29],"prediction":[31,43],"viewed":[34],"as":[35,68,110],"click":[37],"probability.":[38],"In":[39],"practice,":[40],"a":[41,82,163],"CTR":[42],"model":[44,182],"is":[45],"also":[46],"commonly":[47],"assessed":[48],"with":[49,81,153],"ability.":[52],"To":[53,120],"optimize":[54,131],"ability,":[57],"(e.g.,":[60],"pairwise":[61],"or":[62],"listwise":[63],"loss)":[64],"adopted":[67],"they":[69],"usually":[70],"achieve":[71],"better":[72],"rankings":[73],"than":[74],"loss.":[76],"Previous":[77],"studies":[78,103],"have":[79],"experimented":[80],"direct":[83],"combination":[84],"two":[87],"losses":[88,95],"obtain":[90],"benefit":[92],"from":[93],"both":[94,216],"and":[96,134,156,204,207,218,235],"observed":[97],"an":[98,126,188],"improved":[99],"performance.":[100],"However,":[101],"previous":[102],"break":[104],"meaning":[106],"output":[108],"logit":[109,148,167],"rate,":[113],"which":[114],"may":[115],"lead":[116],"sub-optimal":[118],"solutions.":[119],"address":[121],"this":[122],"issue,":[123],"we":[124,190],"propose":[125],"that":[128,172,192,212],"Jointly":[130],"Ranking":[133],"Calibration":[135],"abilities":[136],"(JRC":[137],"short).":[139],"JRC":[140,173,193,224],"improves":[141,215],"by":[145],"contrasting":[146],"value":[149],"sample":[152],"different":[154],"labels":[155],"constrains":[157],"predicted":[159],"probability":[160],"function":[164],"subtraction.":[168],"We":[169],"further":[170],"show":[171,211],"consolidates":[174],"interpretation":[176],"logits,":[178],"where":[179],"logits":[181],"joint":[184],"distribution.":[185],"With":[186],"such":[187],"interpretation,":[189],"prove":[191],"approximately":[194],"optimizes":[195],"contextualized":[197],"hybrid":[198],"discriminative-generative":[199],"objective.":[200],"Experiments":[201],"on":[202,228],"public":[203],"industrial":[205],"datasets":[206],"online":[208],"A/B":[209],"testing":[210],"our":[213],"abilities.":[220],"Since":[221],"May":[222],"2022,":[223],"has":[225,236],"been":[226],"deployed":[227],"display":[230],"advertising":[231],"platform":[232],"Alibaba":[234],"obtained":[237],"significant":[238],"performance":[239],"improvements.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
