{"id":"https://openalex.org/W3209519005","doi":"https://doi.org/10.1145/3459637.3482373","title":"Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising","display_name":"Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3209519005","doi":"https://doi.org/10.1145/3459637.3482373","mag":"3209519005"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482373","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","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/A5045861596","display_name":"Haizhi Yang","orcid":"https://orcid.org/0000-0002-0730-394X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haizhi Yang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018409539","display_name":"Tengyun Wang","orcid":"https://orcid.org/0000-0001-8160-9392"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengyun Wang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076890339","display_name":"Xiaoli Tang","orcid":"https://orcid.org/0000-0002-1967-2953"},"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":"Xiaoli Tang","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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101483555","display_name":"Qianyu Li","orcid":"https://orcid.org/0000-0002-8563-1201"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianyu Li","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101483291","display_name":"Yueyue Shi","orcid":"https://orcid.org/0000-0001-6158-7309"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyue Shi","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102816667","display_name":"Siyu Jiang","orcid":"https://orcid.org/0000-0002-1969-807X"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Jiang","raw_affiliation_strings":["Guangdong University of Foreign Studies, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064069283","display_name":"Han Yu","orcid":"https://orcid.org/0000-0001-6893-8650"},"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":"Han Yu","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"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087621349","display_name":"Hengjie Song","orcid":"https://orcid.org/0000-0003-4121-9466"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengjie Song","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5045861596"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":2.8446,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92133534,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2291","last_page":"2300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7983369827270508},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.686888575553894},{"id":"https://openalex.org/keywords/display-advertising","display_name":"Display advertising","score":0.6587582230567932},{"id":"https://openalex.org/keywords/bidding","display_name":"Bidding","score":0.6124475002288818},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.5814242362976074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5682651400566101},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5301212668418884},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5066619515419006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4854329228401184},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.4474671483039856},{"id":"https://openalex.org/keywords/real-time-bidding","display_name":"Real-time bidding","score":0.43803197145462036},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.10948017239570618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7983369827270508},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.686888575553894},{"id":"https://openalex.org/C2777999536","wikidata":"https://www.wikidata.org/wiki/Q2399498","display_name":"Display advertising","level":4,"score":0.6587582230567932},{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.6124475002288818},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.5814242362976074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5682651400566101},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5301212668418884},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5066619515419006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4854329228401184},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.4474671483039856},{"id":"https://openalex.org/C1525070","wikidata":"https://www.wikidata.org/wiki/Q2134714","display_name":"Real-time bidding","level":3,"score":0.43803197145462036},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.10948017239570618},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482373","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G2667749827","display_name":null,"funder_award_id":"AISG2-RP-2020-01","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"},{"id":"https://openalex.org/G4428162904","display_name":"\u57fa\u4e8e\u884c\u4e3a\u5b9a\u5411\u7684\u7535\u5b50\u5546\u52a1\u5e73\u53f0\u5c55\u793a\u5e7f\u544a\u7cbe\u51c6\u6295\u653e\u6280\u672f\u7814\u7a76","funder_award_id":"71671069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8048650684","display_name":null,"funder_award_id":"2018YFC0830900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1554763265","https://openalex.org/W2012905273","https://openalex.org/W2031002853","https://openalex.org/W2073685064","https://openalex.org/W2077055010","https://openalex.org/W2149822245","https://openalex.org/W2295598076","https://openalex.org/W2295739661","https://openalex.org/W2443960221","https://openalex.org/W2475334473","https://openalex.org/W2509235963","https://openalex.org/W2513944453","https://openalex.org/W2515050826","https://openalex.org/W2517540742","https://openalex.org/W2532780566","https://openalex.org/W2534189265","https://openalex.org/W2548570154","https://openalex.org/W2723293840","https://openalex.org/W2753709519","https://openalex.org/W2770888277","https://openalex.org/W2783989358","https://openalex.org/W2793768763","https://openalex.org/W2803718882","https://openalex.org/W2808766921","https://openalex.org/W2947557559","https://openalex.org/W2952551358","https://openalex.org/W2962745591","https://openalex.org/W2962989965","https://openalex.org/W2964182926","https://openalex.org/W3035596828","https://openalex.org/W3098378121","https://openalex.org/W3100900960","https://openalex.org/W3102476541","https://openalex.org/W3104030692","https://openalex.org/W3159552521","https://openalex.org/W4289488615"],"related_works":["https://openalex.org/W3099082736","https://openalex.org/W2100597815","https://openalex.org/W4385421505","https://openalex.org/W341704063","https://openalex.org/W4385565986","https://openalex.org/W2317606158","https://openalex.org/W175164097","https://openalex.org/W2143648166","https://openalex.org/W2952316437","https://openalex.org/W4300589523"],"abstract_inverted_index":{"The":[0],"rapid":[1],"rise":[2],"of":[3,21,98,151,182],"real-time":[4],"bidding-based":[5],"online":[6],"advertising":[7],"has":[8,208],"brought":[9],"significant":[10,210],"economic":[11],"benefits":[12],"and":[13,32,57,70,137,159,177],"attracted":[14],"extensive":[15,194],"research":[16],"attention.":[17],"From":[18],"the":[19,50,58,102,112,166,172,184,188,213],"perspective":[20],"an":[22,127,179],"advertiser,":[23],"it":[24],"is":[25],"crucial":[26],"to":[27,41,78,83,154],"perform":[28],"accurate":[29],"utility":[30],"estimation":[31,34,146],"cost":[33],"for":[35,190],"each":[36,84],"individual":[37],"auction":[38],"in":[39,88,171],"order":[40],"achieve":[42,155],"cost-effective":[43],"advertising.":[44],"These":[45],"problems":[46],"are":[47],"known":[48],"as":[49,74],"click":[51],"through":[52],"rate":[53],"(CTR)":[54],"prediction":[55,69,136],"task":[56,181],"market":[59,71,138],"price":[60,72,139,169],"modeling":[61,73,140],"task,":[62],"respectively.":[63],"However,":[64],"existing":[65],"approaches":[66],"treat":[67],"CTR":[68,135],"two":[75,197],"independent":[76],"tasks":[77,147],"be":[79],"optimized":[80],"without":[81],"regard":[82],"other,":[85],"thus":[86],"resulting":[87],"suboptimal":[89],"performance.":[90],"Moreover,":[91],"they":[92],"do":[93],"not":[94],"make":[95],"full":[96],"use":[97],"unlabeled":[99],"data":[100,176],"from":[101,111],"losing":[103],"bids":[104],"during":[105],"estimations,":[106],"which":[107,132],"makes":[108],"them":[109],"suffer":[110],"sample":[113],"selection":[114],"bias":[115],"issue.":[116],"To":[117],"address":[118],"these":[119],"limitations,":[120],"we":[121,164,202],"propose":[122],"Multi-task":[123],"Advertising":[124],"Estimator":[125],"(MTAE),":[126],"end-to-end":[128],"joint":[129],"optimization":[130],"framework":[131,189],"performs":[133],"both":[134,145],"simultaneously.":[141],"Through":[142,193],"multi-task":[143],"learning,":[144],"can":[148],"take":[149],"advantage":[150],"knowledge":[152],"transfer":[153],"improved":[156],"feature":[157],"representation":[158],"generalization":[160],"abilities.":[161],"In":[162],"addition,":[163],"leverage":[165],"abundant":[167],"bid":[168,174],"signals":[170],"full-volume":[173],"request":[175],"introduce":[178],"auxiliary":[180],"predicting":[183],"winning":[185],"probability":[186],"into":[187],"unbiased":[191],"learning.":[192],"experiments":[195],"on":[196],"large-scale":[198],"real-world":[199],"public":[200],"datasets,":[201],"demonstrate":[203],"that":[204],"our":[205],"proposed":[206],"approach":[207],"achieved":[209],"improvements":[211],"over":[212],"state-of-the-art":[214],"models":[215],"under":[216],"various":[217],"performance":[218],"metrics.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}