{"id":"https://openalex.org/W4288079518","doi":"https://doi.org/10.1145/3340531.3412031","title":"When Inverse Propensity Scoring does not Work","display_name":"When Inverse Propensity Scoring does not Work","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W4288079518","doi":"https://doi.org/10.1145/3340531.3412031"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412031","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412031","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 International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.10242","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072883623","display_name":"Ali Vardasbi","orcid":"https://orcid.org/0000-0002-9342-5272"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Ali Vardasbi","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002072527","display_name":"Harrie Oosterhuis","orcid":"https://orcid.org/0000-0002-0458-9233"},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Harrie Oosterhuis","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I4210112722","display_name":"Ahold Delhaize (Netherlands)","ror":"https://ror.org/01v6p2g18","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210112722"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten de Rijke","raw_affiliation_strings":["University of Amsterdam &amp; Ahold Delhaize, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam &amp; Ahold Delhaize, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210112722","https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072883623"],"corresponding_institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":4.8285,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.9539598,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1475","last_page":"1484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9904999732971191,"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":0.9904999732971191,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7555553913116455},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.7156552076339722},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6322082877159119},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6151176691055298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.575297474861145},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5347002744674683},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5240321755409241},{"id":"https://openalex.org/keywords/propensity-score-matching","display_name":"Propensity score matching","score":0.4374564290046692},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38208651542663574},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37805742025375366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27728450298309326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21911469101905823},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12284877896308899},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.0865720808506012},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08041509985923767}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7555553913116455},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.7156552076339722},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6322082877159119},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6151176691055298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.575297474861145},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5347002744674683},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5240321755409241},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.4374564290046692},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38208651542663574},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37805742025375366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27728450298309326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21911469101905823},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12284877896308899},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0865720808506012},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08041509985923767},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3340531.3412031","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412031","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 International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.10242","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.10242","pdf_url":"https://arxiv.org/pdf/2008.10242","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.10242","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.10242","pdf_url":"https://arxiv.org/pdf/2008.10242","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2586376837","display_name":null,"funder_award_id":"612.001.551","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G5993542861","display_name":null,"funder_award_id":"652.002.001","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G629491556","display_name":null,"funder_award_id":"(NWO)","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1992549066","https://openalex.org/W2022995284","https://openalex.org/W2047221353","https://openalex.org/W2149427297","https://openalex.org/W2152314154","https://openalex.org/W2340526403","https://openalex.org/W2507134384","https://openalex.org/W2769473018","https://openalex.org/W2784672094","https://openalex.org/W2898073868","https://openalex.org/W2899259597","https://openalex.org/W2905569957","https://openalex.org/W2955421345","https://openalex.org/W2998508934","https://openalex.org/W3003609932","https://openalex.org/W3028135017","https://openalex.org/W3099096815","https://openalex.org/W3101935024","https://openalex.org/W4288280739","https://openalex.org/W6747597888"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W4384133558","https://openalex.org/W3025615835","https://openalex.org/W173210993","https://openalex.org/W2390660599","https://openalex.org/W3028847759","https://openalex.org/W2393688264","https://openalex.org/W3160516639"],"abstract_inverted_index":{"Besides":[0],"position":[1,136,180],"bias,":[2,63,181],"which":[3],"has":[4,43],"been":[5],"well-studied,":[6],"trust":[7,36,88,116,133,154,175],"bias":[8,13,89,134,155,176],"is":[9,82,96,120,125,144,156],"another":[10],"type":[11,71],"of":[12,72,131,147,174],"prevalent":[14],"in":[15,47,177],"user":[16],"interactions":[17],"with":[18,114],"rankings:":[19],"users":[20],"are":[21],"more":[22],"likely":[23],"to":[24,55,68,85,127,160,179],"click":[25],"incorrectly":[26],"w.r.t.":[27],"their":[28],"preferences":[29],"on":[30,101,112],"highly":[31],"ranked":[32],"items":[33,110],"because":[34],"they":[35],"the":[37,121,129,148,161,172,185],"ranking":[38,187],"system.":[39],"While":[40],"previous":[41],"work":[42],"observed":[44],"this":[45,62,70],"behavior":[46],"users,":[48],"we":[49,75,139],"prove":[50,76],"that":[51,77,124,141,169],"existing":[52,149],"Counterfactual":[53],"Learning":[54],"Rank":[56],"(CLTR)":[57,150,182],"methods":[58,65],"do":[59],"not":[60],"remove":[61,128],"including":[64],"specifically":[66],"designed":[67],"mitigate":[69],"bias.":[73,117,137],"Moreover,":[74],"Inverse":[78],"Propensity":[79],"Scoring":[80],"(IPS)":[81,163],"principally":[83],"unable":[84],"correct":[86],"for":[87],"under":[90],"non-trivial":[91],"circumstances.":[92],"Our":[93,118,165],"main":[94],"contribution":[95],"a":[97,145],"new":[98],"estimator":[99,119,123,143],"based":[100],"affine":[102],"corrections:":[103],"it":[104,158],"both":[105,132],"reweights":[106],"clicks":[107],"and":[108,135],"penalizes":[109],"displayed":[111],"ranks":[113],"high":[115],"first":[122],"proven":[126],"effect":[130,173],"Furthermore,":[138],"show":[140],"our":[142],"generalization":[146],"framework:":[151],"if":[152],"no":[153],"present,":[157],"reduces":[159],"original":[162],"estimator.":[164],"semi-synthetic":[166],"experiments":[167],"indicate":[168],"by":[170],"removing":[171],"addition":[178],"can":[183],"approximate":[184],"optimal":[186],"system":[188],"even":[189],"closer":[190],"than":[191],"previously":[192],"possible.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2022-07-28T00:00:00"}
