{"id":"https://openalex.org/W3023202929","doi":"https://doi.org/10.1145/3340531.3411962","title":"Evaluating Stochastic Rankings with Expected Exposure","display_name":"Evaluating Stochastic Rankings with Expected Exposure","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3023202929","doi":"https://doi.org/10.1145/3340531.3411962","mag":"3023202929"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3411962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3411962","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 & Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.13157","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101492251","display_name":"Fernando D\u00edaz","orcid":"https://orcid.org/0000-0003-2345-1288"},"institutions":[{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fernando Diaz","raw_affiliation_strings":["Microsoft, Montr\u00e9al, PQ, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Montr\u00e9al, PQ, Canada","institution_ids":["https://openalex.org/I4210153468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048533217","display_name":"Bhaskar Mitra","orcid":"https://orcid.org/0000-0002-5270-5550"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bhaskar Mitra","raw_affiliation_strings":["Microsoft, Montr\u00e9al, PQ, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Montr\u00e9al, PQ, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015092805","display_name":"Michael D. Ekstrand","orcid":"https://orcid.org/0000-0003-2467-0108"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael D. Ekstrand","raw_affiliation_strings":["Boise State University, Boise, ID, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boise State University, Boise, ID, USA","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087294637","display_name":"Asia J. Biega","orcid":"https://orcid.org/0000-0001-8083-0976"},"institutions":[{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Asia J. Biega","raw_affiliation_strings":["Microsoft, Montr\u00e9al, PQ, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, Montr\u00e9al, PQ, Canada","institution_ids":["https://openalex.org/I4210153468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078123101","display_name":"Ben Carterette","orcid":"https://orcid.org/0000-0001-9538-047X"},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Carterette","raw_affiliation_strings":["Spotify, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spotify, New York, NY, USA","institution_ids":["https://openalex.org/I4210122154"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":176,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"275","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9987000226974487,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9987000226974487,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9975000023841858,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9972000122070312,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8441075682640076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7918333411216736},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.704299807548523},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6380103826522827},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6229401230812073},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.410255491733551},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3713732659816742}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8441075682640076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918333411216736},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.704299807548523},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6380103826522827},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6229401230812073},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.410255491733551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3713732659816742},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3340531.3411962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3411962","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 & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.13157","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.13157","pdf_url":"https://arxiv.org/pdf/2004.13157","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"},{"id":"pmh:oai:scholarworks.boisestate.edu:cs_facpubs-1266","is_oa":false,"landing_page_url":"https://scholarworks.boisestate.edu/cs_facpubs/259","pdf_url":null,"source":{"id":"https://openalex.org/S4306400258","display_name":"ScholarWorks (Boise State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I120156002","host_organization_name":"Boise State University","host_organization_lineage":["https://openalex.org/I120156002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Faculty Publications and Presentations","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.13157","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.13157","pdf_url":"https://arxiv.org/pdf/2004.13157","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W43928053","https://openalex.org/W1530210183","https://openalex.org/W1708221419","https://openalex.org/W1787140601","https://openalex.org/W1968927634","https://openalex.org/W1977081768","https://openalex.org/W1996924157","https://openalex.org/W2001832483","https://openalex.org/W2004881074","https://openalex.org/W2023599408","https://openalex.org/W2056389572","https://openalex.org/W2058624977","https://openalex.org/W2063468305","https://openalex.org/W2097193844","https://openalex.org/W2098411332","https://openalex.org/W2100960835","https://openalex.org/W2113640060","https://openalex.org/W2136399505","https://openalex.org/W2140310134","https://openalex.org/W2142927605","https://openalex.org/W2143331230","https://openalex.org/W2219888463","https://openalex.org/W2242818861","https://openalex.org/W2319178748","https://openalex.org/W2340526403","https://openalex.org/W2507134384","https://openalex.org/W2544318541","https://openalex.org/W2612327332","https://openalex.org/W2704480242","https://openalex.org/W2727765976","https://openalex.org/W2741542621","https://openalex.org/W2765564115","https://openalex.org/W2782866613","https://openalex.org/W2787991113","https://openalex.org/W2804585190","https://openalex.org/W2888556752","https://openalex.org/W2912638141","https://openalex.org/W2949386080","https://openalex.org/W2950344037","https://openalex.org/W2952165242","https://openalex.org/W2962771056","https://openalex.org/W2963189767","https://openalex.org/W2963818033","https://openalex.org/W2963919086","https://openalex.org/W2971071571","https://openalex.org/W2981070927","https://openalex.org/W2991634944","https://openalex.org/W2994069334","https://openalex.org/W3040911419","https://openalex.org/W3099751307","https://openalex.org/W3100945072","https://openalex.org/W3101793783","https://openalex.org/W3102092462","https://openalex.org/W3102518922","https://openalex.org/W3104475013","https://openalex.org/W3106076062","https://openalex.org/W4210631930","https://openalex.org/W4237977885","https://openalex.org/W4289751798","https://openalex.org/W4300482433"],"related_works":["https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W51364034","https://openalex.org/W2041353081","https://openalex.org/W2581240705","https://openalex.org/W3127142483","https://openalex.org/W2568183987","https://openalex.org/W2141938446","https://openalex.org/W4399207312","https://openalex.org/W2898073868"],"abstract_inverted_index":{"We":[0,59,133],"introduce":[1],"the":[2,8,20,27,30,55,135,138],"concept":[3],"of":[4,19,29,32,54,128,137,148],"expected":[5,34,48,93,139,164],"exposure":[6,49,94,140,165],"as":[7],"average":[9],"attention":[10],"ranked":[11],"items":[12],"receive":[13,44],"from":[14,81],"users":[15],"over":[16,125],"repeated":[17],"samples":[18],"same":[21,56],"query.":[22],"Furthermore,":[23],"we":[24,85],"advocate":[25],"for":[26,66,173],"adoption":[28],"principle":[31,63],"equal":[33],"exposure:":[35],"given":[36],"a":[37,87,114,119,123,129,146,170],"fixed":[38,131],"information":[39,102,110,149],"need,":[40],"no":[41],"item":[42,53],"should":[43],"more":[45],"or":[46],"less":[47],"than":[50],"any":[51],"other":[52],"relevance":[57],"grade.":[58],"argue":[60],"that":[61,160],"this":[62,106],"is":[64],"desirable":[65],"many":[67],"retrieval":[68,83,103,111,155,174],"objectives":[69],"and":[70,75,95,142,156,162,177],"scenarios,":[71],"including":[72,152],"topical":[73],"diversity":[74],"fair":[76],"ranking.":[77,132],"%Leveraging":[78],"user":[79],"models":[80],"existing":[82],"metrics,":[84],"propose":[86],"general":[88],"evaluation":[89],"methodology":[90,107],"based":[91],"on":[92],"draw":[96],"connections":[97],"to":[98,118,121],"related":[99],"metrics":[100,166],"in":[101,116],"evaluation.":[104],"Importantly,":[105],"relaxes":[108],"classic":[109],"assumptions,":[112],"allowing":[113],"system,":[115],"response":[117],"query,":[120],"produce":[122],"distribution":[124],"rankings":[126],"instead":[127],"single":[130],"study":[134],"behavior":[136],"metric":[141],"stochastic":[143],"rankers":[144],"across":[145],"variety":[147],"access":[150],"conditions,":[151],"ad":[153],"hoc":[154],"recommendation.":[157],"%We":[158],"believe":[159],"measuring":[161],"optimizing":[163],"using":[167],"randomization":[168],"opens":[169],"new":[171],"area":[172],"algorithm":[175],"development":[176],"progress.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":50},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":33},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}