{"id":"https://openalex.org/W4385568135","doi":"https://doi.org/10.1145/3580305.3599403","title":"Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach","display_name":"Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385568135","doi":"https://doi.org/10.1145/3580305.3599403"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599403","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599403","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/A5019916870","display_name":"Ningyuan Li","orcid":"https://orcid.org/0000-0002-1837-8840"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ningyuan Li","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063077903","display_name":"Yunxuan Ma","orcid":"https://orcid.org/0009-0005-1819-2594"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxuan Ma","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011701271","display_name":"Yang Zhao","orcid":null},"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":"Yang Zhao","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/A5049752033","display_name":"Zhijian Duan","orcid":"https://orcid.org/0000-0002-4696-2139"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Duan","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652868","display_name":"Yurong Chen","orcid":"https://orcid.org/0000-0003-0659-7154"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurong Chen","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030110100","display_name":"Zhilin Zhang","orcid":"https://orcid.org/0000-0001-6665-2288"},"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":"Zhilin Zhang","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":"middle","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"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100638710","display_name":"Xiaotie Deng","orcid":"https://orcid.org/0000-0002-5282-6467"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotie Deng","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5019916870"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.4834,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89589297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1291","last_page":"1302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9995999932289124,"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":0.9991999864578247,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9696999788284302,"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/common-value-auction","display_name":"Common value auction","score":0.7440155148506165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7365885972976685},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6562603712081909},{"id":"https://openalex.org/keywords/externality","display_name":"Externality","score":0.6232360005378723},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.4903891086578369},{"id":"https://openalex.org/keywords/vickrey-auction","display_name":"Vickrey auction","score":0.46982908248901367},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.4641965627670288},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44691404700279236},{"id":"https://openalex.org/keywords/combinatorial-auction","display_name":"Combinatorial auction","score":0.427776962518692},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4169626533985138},{"id":"https://openalex.org/keywords/auction-algorithm","display_name":"Auction algorithm","score":0.41592341661453247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32981953024864197},{"id":"https://openalex.org/keywords/auction-theory","display_name":"Auction theory","score":0.24958226084709167},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.20990446209907532},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.17780810594558716},{"id":"https://openalex.org/keywords/revenue-equivalence","display_name":"Revenue equivalence","score":0.13394641876220703}],"concepts":[{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.7440155148506165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365885972976685},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6562603712081909},{"id":"https://openalex.org/C16118543","wikidata":"https://www.wikidata.org/wiki/Q275372","display_name":"Externality","level":2,"score":0.6232360005378723},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.4903891086578369},{"id":"https://openalex.org/C83426474","wikidata":"https://www.wikidata.org/wiki/Q243758","display_name":"Vickrey auction","level":4,"score":0.46982908248901367},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.4641965627670288},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44691404700279236},{"id":"https://openalex.org/C59919655","wikidata":"https://www.wikidata.org/wiki/Q5150821","display_name":"Combinatorial auction","level":3,"score":0.427776962518692},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4169626533985138},{"id":"https://openalex.org/C74979957","wikidata":"https://www.wikidata.org/wiki/Q4819604","display_name":"Auction algorithm","level":5,"score":0.41592341661453247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32981953024864197},{"id":"https://openalex.org/C11276805","wikidata":"https://www.wikidata.org/wiki/Q771334","display_name":"Auction theory","level":3,"score":0.24958226084709167},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.20990446209907532},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.17780810594558716},{"id":"https://openalex.org/C143684077","wikidata":"https://www.wikidata.org/wiki/Q431186","display_name":"Revenue equivalence","level":4,"score":0.13394641876220703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599403","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599403","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":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1298393271","display_name":null,"funder_award_id":"2172012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1752386013","display_name":null,"funder_award_id":"62172012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174558747","display_name":null,"funder_award_id":"Group","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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"},{"id":"https://openalex.org/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W607505555","https://openalex.org/W1486680842","https://openalex.org/W2038017315","https://openalex.org/W2053983779","https://openalex.org/W2113690490","https://openalex.org/W2139891288","https://openalex.org/W2222512263","https://openalex.org/W2331039136","https://openalex.org/W2811139853","https://openalex.org/W2898085636","https://openalex.org/W2964323458","https://openalex.org/W3101704389","https://openalex.org/W3117488143","https://openalex.org/W3124281042","https://openalex.org/W3167256053","https://openalex.org/W3170127813","https://openalex.org/W3214101734","https://openalex.org/W4290927831"],"related_works":["https://openalex.org/W2164943659","https://openalex.org/W2293269701","https://openalex.org/W1775068182","https://openalex.org/W1594147293","https://openalex.org/W1537409952","https://openalex.org/W3151424609","https://openalex.org/W1800256497","https://openalex.org/W3123645920","https://openalex.org/W2116764051","https://openalex.org/W2115739908"],"abstract_inverted_index":{"Learning-based":[0],"ad":[1,38,80],"auctions":[2,39],"have":[3],"increasingly":[4],"been":[5],"adopted":[6],"in":[7],"online":[8],"advertising.":[9],"However,":[10],"existing":[11],"approaches":[12],"neglect":[13],"externalities,":[14],"such":[15],"as":[16],"the":[17,47,74,99,116,119],"interaction":[18],"between":[19],"ads":[20],"and":[21,59,77,90,112],"organic":[22],"items.":[23],"In":[24],"this":[25,71],"paper,":[26],"we":[27,93],"propose":[28],"a":[29,55,103],"general":[30],"framework,":[31],"namely":[32],"Score-Weighted":[33],"VCG,":[34],"for":[35,42],"designing":[36,54],"learning-based":[37],"that":[40,70],"account":[41],"externalities.":[43],"The":[44],"framework":[45,72,101],"decomposes":[46],"optimal":[48,75],"auction":[49,81],"design":[50],"into":[51],"two":[52],"parts:":[53],"monotone":[56],"score":[57],"function":[58],"an":[60,95],"allocation":[61,105],"algorithm,":[62],"which":[63],"facilitates":[64],"data-driven":[65],"implementation.":[66],"Theoretical":[67],"results":[68,108],"demonstrate":[69],"produces":[73],"incentive-compatible":[76],"individually":[78],"rational":[79],"under":[82],"various":[83],"externality-aware":[84],"CTR":[85],"models":[86],"while":[87],"being":[88],"data-efficient":[89],"robust.":[91],"Moreover,":[92],"present":[94],"approach":[96],"to":[97],"implement":[98],"proposed":[100,120],"with":[102],"matching-based":[104],"algorithm.":[106],"Experiment":[107],"on":[109],"both":[110],"real-world":[111],"synthetic":[113],"data":[114],"illustrate":[115],"effectiveness":[117],"of":[118],"approach.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}