{"id":"https://openalex.org/W3035253521","doi":"https://doi.org/10.1145/3397271.3401284","title":"A Test Collection for Relevance and Sensitivity","display_name":"A Test Collection for Relevance and Sensitivity","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3035253521","doi":"https://doi.org/10.1145/3397271.3401284","mag":"3035253521"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401284","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5077765687","display_name":"Mahmoud F. Sayed","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud F. Sayed","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065718997","display_name":"William Cox","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Cox","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047770507","display_name":"Jonah Lynn Rivera","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonah Lynn Rivera","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007425262","display_name":"Caitlin Christian-Lamb","orcid":"https://orcid.org/0000-0002-8817-3453"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caitlin Christian-Lamb","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033317122","display_name":"Modassir Iqbal","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Modassir Iqbal","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074322406","display_name":"Douglas W. Oard","orcid":"https://orcid.org/0000-0002-1696-0407"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas W. Oard","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064976518","display_name":"Katie Shilton","orcid":"https://orcid.org/0000-0003-1816-6140"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katie Shilton","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9295,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.78041958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1605","last_page":"1608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9988999962806702,"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/T11719","display_name":"Data Quality and Management","score":0.9988999962806702,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.998199999332428,"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":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.8275264501571655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6724684238433838},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.581554651260376},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.530045747756958},{"id":"https://openalex.org/keywords/persona","display_name":"Persona","score":0.4964755177497864},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4892692267894745},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46975067257881165},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.462985634803772},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.41358980536460876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30774229764938354},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15481036901474},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.14454355835914612},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.09464883804321289},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09270212054252625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08799844980239868}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8275264501571655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6724684238433838},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.581554651260376},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.530045747756958},{"id":"https://openalex.org/C313442","wikidata":"https://www.wikidata.org/wiki/Q778556","display_name":"Persona","level":2,"score":0.4964755177497864},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4892692267894745},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46975067257881165},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.462985634803772},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.41358980536460876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30774229764938354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15481036901474},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.14454355835914612},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.09464883804321289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09270212054252625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08799844980239868},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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:10.1145/3397271.3401284","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5547872190","display_name":null,"funder_award_id":"1618695","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1640628807","https://openalex.org/W2141766660","https://openalex.org/W2550898138","https://openalex.org/W2588301606","https://openalex.org/W2954118785","https://openalex.org/W3013426078","https://openalex.org/W3180960160","https://openalex.org/W4240266525"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W1971071004","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W2078482661","https://openalex.org/W1968222678","https://openalex.org/W2460037195","https://openalex.org/W2134013435"],"abstract_inverted_index":{"Recent":[0],"interest":[1],"in":[2],"the":[3,42,53,73,128,162],"design":[4],"of":[5,44,75,98],"information":[6],"retrieval":[7,175],"systems":[8,176],"that":[9,31,49,161,177],"can":[10],"balance":[11,180],"an":[12,19],"ability":[13,20],"to":[14,21,110,179],"find":[15],"relevant":[16],"content":[17,24,79],"with":[18,95,104],"protect":[22],"sensitive":[23],"creates":[25],"a":[26,46,64,84,146,170],"need":[27],"for":[28,34,66,86,121,139,172],"test":[29,47],"collections":[30,102],"are":[32],"annotated":[33],"both":[35,140],"relevance":[36,117,141,181],"and":[37,69,103,118,142,145,151,182],"sensitivity.":[38,88,183],"This":[39],"paper":[40],"describes":[41],"development":[43],"such":[45,111],"collection":[48,164],"is":[50],"based":[51,92],"on":[52,93],"Avocado":[54],"Research":[55],"Email":[56],"Collection.":[57],"Four":[58],"people":[59],"created":[60,82,116],"search":[61],"topics":[62],"as":[63,83,169],"basis":[65,85,171],"assessing":[67,87],"relevance,":[68],"two":[70,129],"personas":[71,90],"describing":[72],"sensitivities":[74],"representative":[76],"(but":[77],"fictional)":[78],"creators":[80],"were":[81,91],"These":[89],"interviews":[94],"potential":[96],"donors":[97],"historically":[99],"significant":[100],"email":[101],"archivists":[105],"who":[106],"currently":[107],"manage":[108],"access":[109],"collections.":[112],"Two":[113],"annotators":[114],"then":[115],"sensitivity":[119,143,148],"judgments":[120],"65":[122],"topics,":[123],"divided":[124],"approximately":[125],"equally":[126],"between":[127],"personas.":[130],"Annotator":[131],"agreement":[132],"statistics":[133],"indicate":[134],"fairly":[135],"good":[136],"external":[137],"reliability":[138],"annotations,":[144],"baseline":[147],"classifier":[149],"trained":[150],"evaluated":[152],"using":[153],"cross-validation":[154],"achieved":[155],"better":[156],"than":[157],"80%":[158],"$F_1$,":[159],"suggesting":[160],"resulting":[163],"will":[165],"likely":[166],"be":[167],"useful":[168],"comparing":[173],"alternative":[174],"seek":[178]},"counts_by_year":[{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
