{"id":"https://openalex.org/W2807938251","doi":"https://doi.org/10.24963/ijcai.2018/18","title":"Combinatorial Auctions via Machine Learning-based Preference Elicitation","display_name":"Combinatorial Auctions via Machine Learning-based Preference Elicitation","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2807938251","doi":"https://doi.org/10.24963/ijcai.2018/18","mag":"2807938251"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/18","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/18","pdf_url":"https://www.ijcai.org/proceedings/2018/0018.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0018.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007934589","display_name":"Gianluca Brero","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Gianluca Brero","raw_affiliation_strings":["Department of Informatics, University of Zurich"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Zurich","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052223634","display_name":"Benjamin Lubin","orcid":"https://orcid.org/0000-0002-2786-0997"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Lubin","raw_affiliation_strings":["Information Systems Department, Boston University School of Management"],"affiliations":[{"raw_affiliation_string":"Information Systems Department, Boston University School of Management","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045325634","display_name":"Sven Seuken","orcid":"https://orcid.org/0000-0001-8525-8120"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sven Seuken","raw_affiliation_strings":["Department of Informatics, University of Zurich"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Zurich","institution_ids":["https://openalex.org/I202697423"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007934589"],"corresponding_institution_ids":["https://openalex.org/I202697423"],"apc_list":null,"apc_paid":null,"fwci":2.8687,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91109494,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"128","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":1.0,"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":1.0,"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":0.9912999868392944,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9710000157356262,"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/allocative-efficiency","display_name":"Allocative efficiency","score":0.9072046279907227},{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.8504625558853149},{"id":"https://openalex.org/keywords/combinatorial-auction","display_name":"Combinatorial auction","score":0.7915259599685669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7434691190719604},{"id":"https://openalex.org/keywords/preference-elicitation","display_name":"Preference elicitation","score":0.7199544310569763},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.5900683999061584},{"id":"https://openalex.org/keywords/incentive-compatibility","display_name":"Incentive compatibility","score":0.5505979061126709},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.541069507598877},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5314128994941711},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5053332448005676},{"id":"https://openalex.org/keywords/vickrey\u2013clarke\u2013groves-auction","display_name":"Vickrey\u2013Clarke\u2013Groves auction","score":0.4880872964859009},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.45785602927207947},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4368564188480377},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3483019471168518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3477674722671509},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.33516043424606323},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.3254897892475128},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30388695001602173},{"id":"https://openalex.org/keywords/auction-theory","display_name":"Auction theory","score":0.21224907040596008},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1623782217502594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13531196117401123}],"concepts":[{"id":"https://openalex.org/C196345963","wikidata":"https://www.wikidata.org/wiki/Q4175604","display_name":"Allocative efficiency","level":2,"score":0.9072046279907227},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.8504625558853149},{"id":"https://openalex.org/C59919655","wikidata":"https://www.wikidata.org/wiki/Q5150821","display_name":"Combinatorial auction","level":3,"score":0.7915259599685669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434691190719604},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.7199544310569763},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.5900683999061584},{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.5505979061126709},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.541069507598877},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5314128994941711},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5053332448005676},{"id":"https://openalex.org/C147220207","wikidata":"https://www.wikidata.org/wiki/Q773073","display_name":"Vickrey\u2013Clarke\u2013Groves auction","level":4,"score":0.4880872964859009},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.45785602927207947},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4368564188480377},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3483019471168518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3477674722671509},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.33516043424606323},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3254897892475128},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30388695001602173},{"id":"https://openalex.org/C11276805","wikidata":"https://www.wikidata.org/wiki/Q771334","display_name":"Auction theory","level":3,"score":0.21224907040596008},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1623782217502594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13531196117401123},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/18","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/18","pdf_url":"https://www.ijcai.org/proceedings/2018/0018.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/18","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/18","pdf_url":"https://www.ijcai.org/proceedings/2018/0018.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G671807751","display_name":null,"funder_award_id":"156836","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G8476529502","display_name":"Mice infested with Ixodes ricinus: contribution of tick saliva components and atigen presenting cells environment to T helper polarization","funder_award_id":"56836","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2807938251.pdf","grobid_xml":"https://content.openalex.org/works/W2807938251.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W218353229","https://openalex.org/W1964357740","https://openalex.org/W2001409928","https://openalex.org/W2015007620","https://openalex.org/W2078040677","https://openalex.org/W2102399453","https://openalex.org/W2120100612","https://openalex.org/W2126528747","https://openalex.org/W2141679133","https://openalex.org/W2150880868","https://openalex.org/W2151075729","https://openalex.org/W2201125180","https://openalex.org/W2604128441","https://openalex.org/W2621046146","https://openalex.org/W2950278483","https://openalex.org/W3122604553","https://openalex.org/W4206011897","https://openalex.org/W4251083239","https://openalex.org/W4251541834","https://openalex.org/W4251668840"],"related_works":["https://openalex.org/W1965161364","https://openalex.org/W1571950539","https://openalex.org/W2475673136","https://openalex.org/W2027113953","https://openalex.org/W2122236029","https://openalex.org/W1942119678","https://openalex.org/W1924265123","https://openalex.org/W3178632090","https://openalex.org/W2715289607","https://openalex.org/W1996235847"],"abstract_inverted_index":{"Combinatorial":[0],"auctions":[1],"(CAs)":[2],"are":[3,98,104,132],"used":[4],"to":[5,30,49,60,73,77],"allocate":[6],"multiple":[7],"items":[8],"among":[9],"bidders":[10,29],"with":[11,106],"complex":[12],"valuations.":[13],"Since":[14],"the":[15,21,51,56,80,135],"value":[16,34],"space":[17],"grows":[18],"exponentially":[19],"in":[20,37,113],"number":[22],"of":[23,55],"items,":[24],"it":[25,122],"is":[26],"impossible":[27],"for":[28],"report":[31],"their":[32],"full":[33],"function":[35],"even":[36,127],"medium-sized":[38],"settings.":[39],"Prior":[40],"work":[41],"has":[42],"shown":[43],"that":[44,101,121],"current":[45],"designs":[46],"often":[47],"fail":[48],"elicit":[50],"most":[52],"relevant":[53],"values":[54,76,131],"bidders,":[57],"thus":[58],"leading":[59],"inefficiencies.":[61],"We":[62,109],"address":[63],"this":[64,84],"problem":[65],"by":[66],"introducing":[67],"a":[68,89],"machine":[69],"learning-based":[70],"elicitation":[71,85],"algorithm":[72],"identify":[74],"which":[75],"query":[78],"from":[79,134],"bidders.":[81,136],"Based":[82],"on":[83],"paradigm":[86],"we":[87,93,119],"design":[88],"new":[90],"CA":[91],"mechanism":[92],"call":[94],"PVM,":[95],"where":[96],"payments":[97],"determined":[99],"so":[100],"bidders\u2019":[102],"incentives":[103],"aligned":[105],"allocative":[107,125],"efficiency.":[108],"validate":[110],"PVM":[111],"experimentally":[112],"several":[114],"spectrum":[115],"auction":[116],"domains,":[117],"and":[118],"show":[120],"achieves":[123],"high":[124],"efficiency":[126],"when":[128],"only":[129],"few":[130],"elicited":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
