{"id":"https://openalex.org/W4377140377","doi":"https://doi.org/10.1145/3596511","title":"The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures","display_name":"The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures","publication_year":2023,"publication_date":"2023-05-20","ids":{"openalex":"https://openalex.org/W4377140377","doi":"https://doi.org/10.1145/3596511"},"language":"en","primary_location":{"id":"doi:10.1145/3596511","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3596511","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5031434805","display_name":"Lida Rashidi","orcid":"https://orcid.org/0000-0002-6189-3274"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Lida Rashidi","raw_affiliation_strings":["The University of Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041495909","display_name":"Justin Zobel","orcid":"https://orcid.org/0000-0001-6622-032X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Justin Zobel","raw_affiliation_strings":["The University of Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081861848","display_name":"Alistair Moffat","orcid":"https://orcid.org/0000-0002-6638-0232"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alistair Moffat","raw_affiliation_strings":["The University of Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031434805"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":6.0324,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96769252,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"42","issue":"1","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9986000061035156,"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":0.9975000023841858,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9944999814033508,"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/relevance","display_name":"Relevance (law)","score":0.747322678565979},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6935546398162842},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5506364107131958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.520763635635376},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4402415156364441},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4238853454589844},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4165293872356415},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.37875255942344666},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3765221834182739},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3290223479270935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30815690755844116},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.286226361989975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25406211614608765}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.747322678565979},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6935546398162842},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5506364107131958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.520763635635376},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4402415156364441},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4238853454589844},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4165293872356415},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.37875255942344666},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3765221834182739},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3290223479270935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30815690755844116},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.286226361989975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25406211614608765},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3596511","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3596511","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5278411296","display_name":null,"funder_award_id":"DP190101113","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G611870384","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1968927634","https://openalex.org/W2017292914","https://openalex.org/W2021581601","https://openalex.org/W2022995284","https://openalex.org/W2026969101","https://openalex.org/W2030139727","https://openalex.org/W2037140704","https://openalex.org/W2052989395","https://openalex.org/W2062236692","https://openalex.org/W2069870183","https://openalex.org/W2077324407","https://openalex.org/W2083503066","https://openalex.org/W2102500012","https://openalex.org/W2113026607","https://openalex.org/W2120308175","https://openalex.org/W2500119194","https://openalex.org/W2559401578","https://openalex.org/W2624553223","https://openalex.org/W2750746504","https://openalex.org/W2752644629","https://openalex.org/W2781361141","https://openalex.org/W2895183493","https://openalex.org/W2923053417","https://openalex.org/W2981180456","https://openalex.org/W2998679789","https://openalex.org/W3196754070","https://openalex.org/W4287710008","https://openalex.org/W6780882683"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2149537132","https://openalex.org/W2018871932","https://openalex.org/W641279757","https://openalex.org/W370975646","https://openalex.org/W1670566515","https://openalex.org/W4242022592","https://openalex.org/W596972243","https://openalex.org/W2085384747","https://openalex.org/W2088166309"],"abstract_inverted_index":{"Measurement":[0],"of":[1,4,12,56,64,67,82,92,94,110,122,133,142,173,196,206],"the":[2,42,47,50,80,90,108,158,171,178,184],"effectiveness":[3,95,112],"search":[5],"engines":[6],"is":[7,16,85,98,177,202],"often":[8],"based":[9,119],"on":[10,120],"use":[11,63],"relevance":[13,51,58,72],"judgments.":[14],"It":[15],"well":[17],"known":[18],"that":[19,29,49,74,84,114,124,129,144,194],"judgments":[20,52,73,123,201],"can":[21,75,135],"be":[22,76,116],"inconsistent":[23],"between":[24],"judges,":[25],"leading":[26],"to":[27,78,137,204],"discrepancies":[28],"potentially":[30],"affect":[31],"not":[32],"only":[33],"scores":[34],"but":[35,150,182],"also":[36],"system":[37],"relativities":[38],"and":[39,164],"confidence":[40],"in":[41,70,104,155,170,200],"experimental":[43,207],"outcomes.":[44,208],"We":[45,192],"take":[46],"perspective":[48],"are":[53,151,166],"an":[54],"amalgam":[55],"perfect":[57],"assessments":[59],"plus":[60],"errors;":[61],"making":[62],"a":[65,101],"model":[66],"systematic":[68],"errors":[69],"binary":[71],"tuned":[77],"reflect":[79],"kind":[81],"judge":[83],"being":[86],"used,":[87],"we":[88,106,127],"explore":[89],"behavior":[91],"measures":[93,162,185],"as":[96,140,148],"error":[97,134,175,190,198],"introduced.":[99],"Using":[100],"novel":[102],"methodology":[103],"which":[105],"examine":[107],"distribution":[109],"\u201ctrue\u201d":[111],"measurements":[113,118],"could":[115],"underlying":[117],"sets":[121],"include":[125],"error,":[126],"find":[128],"even":[130,188],"moderate":[131,189],"amounts":[132],"lead":[136],"conclusions":[138],"such":[139],"orderings":[141],"systems":[143],"statistical":[145],"tests":[146],"report":[147],"significant":[149],"nonetheless":[152],"incorrect.":[153],"Further,":[154],"these":[156],"results":[157],"widely":[159],"used":[160],"recall-based":[161],"AP":[163],"NDCG":[165],"notably":[167],"more":[168],"fragile":[169],"presence":[172],"judgment":[174],"than":[176],"utility-based":[179],"measure":[180],"RBP,":[181],"all":[183],"failed":[186],"under":[187],"rates.":[191],"conclude":[193],"knowledge":[195],"likely":[197],"rates":[199],"critical":[203],"interpretation":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":21}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}