{"id":"https://openalex.org/W2058896506","doi":"https://doi.org/10.1145/1148170.1148261","title":"Evaluating evaluation metrics based on the bootstrap","display_name":"Evaluating evaluation metrics based on the bootstrap","publication_year":2006,"publication_date":"2006-08-06","ids":{"openalex":"https://openalex.org/W2058896506","doi":"https://doi.org/10.1145/1148170.1148261","mag":"2058896506"},"language":"en","primary_location":{"id":"doi:10.1145/1148170.1148261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148261","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 annual 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/A5023595778","display_name":"Tetsuya Sakai","orcid":"https://orcid.org/0000-0002-6720-963X"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tetsuya Sakai","raw_affiliation_strings":["Toshiba Corporate R&amp;D Center"],"affiliations":[{"raw_affiliation_string":"Toshiba Corporate R&amp;D Center","institution_ids":["https://openalex.org/I1292669757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023595778"],"corresponding_institution_ids":["https://openalex.org/I1292669757"],"apc_list":null,"apc_paid":null,"fwci":13.5922,"has_fulltext":false,"cited_by_count":210,"citation_normalized_percentile":{"value":0.9881674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"525","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9865000247955322,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9865000247955322,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9696999788284302,"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"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9668999910354614,"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/computer-science","display_name":"Computer science","score":0.6841360330581665},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6306542158126831},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5220891833305359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4818226397037506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4780288636684418},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4604831635951996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3581807017326355},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30887162685394287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24138197302818298}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6841360330581665},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6306542158126831},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5220891833305359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4818226397037506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4780288636684418},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4604831635951996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3581807017326355},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30887162685394287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24138197302818298},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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:10.1145/1148170.1148261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148261","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 annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1987690005","https://openalex.org/W1995945562","https://openalex.org/W2015338694","https://openalex.org/W2015629112","https://openalex.org/W2045334584","https://openalex.org/W2069870183","https://openalex.org/W2073392286","https://openalex.org/W2073722401","https://openalex.org/W2077046902","https://openalex.org/W2096623622","https://openalex.org/W2110202502","https://openalex.org/W2128353689","https://openalex.org/W2142672338","https://openalex.org/W2157002521","https://openalex.org/W2181584843","https://openalex.org/W2799002609","https://openalex.org/W3106889297","https://openalex.org/W4233760227","https://openalex.org/W6606138943"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2065055572","https://openalex.org/W2784269775","https://openalex.org/W2952904874"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"how":[3],"the":[4,13,30,52,63,75,100,110,118,129,149],"Bootstrap":[5,23,59,87,111],"approach":[6],"to":[7,12,79],"statistics":[8],"can":[9,141],"be":[10],"applied":[11],"evaluation":[14],"of":[15,54,98,102,113,120],"IR":[16,31,55,136],"effectiveness":[17],"metrics.":[18],"First,":[19],"we":[20,93],"argue":[21],"that":[22,140],"Hypothesis":[24,60,88],"Tests":[25],"deserve":[26],"more":[27],"attention":[28],"from":[29,86,128],"community,":[32],"as":[33],"they":[34],"are":[35],"based":[36,57,108,147],"on":[37,58,109,148],"fewer":[38],"assumptions":[39],"than":[40],"traditional":[41],"statistical":[42],"significance":[43,83],"tests.":[44],"We":[45,116],"then":[46],"describe":[47,94],"straightforward":[48],"methods":[49,122],"for":[50,133],"comparing":[51,134],"sensitivity":[53],"metrics":[56,107],"Tests.":[61],"Unlike":[62],"heuristics-based":[64],"\"swap\"":[65],"method":[66,73],"proposed":[67],"by":[68],"Voorhees":[69],"and":[70,126,145],"Buckley,":[71],"our":[72,121],"estimates":[74],"performance":[76],"difference":[77],"required":[78],"achieve":[80],"a":[81,95],"given":[82],"level":[84],"directly":[85],"Test":[89],"results.":[90],"In":[91],"addition,":[92],"simple":[96],"way":[97],"examining":[99],"accuracy":[101],"rank":[103],"correlation":[104],"between":[105],"two":[106],"Estimate":[112],"Standard":[114],"Error.":[115],"demonstrate":[117],"usefulness":[119],"using":[123],"test":[124],"collections":[125],"runs":[127],"NTCIR":[130],"CLIR":[131],"track":[132],"seven":[135],"metrics,":[137],"including":[138],"those":[139,146],"handle":[142],"graded":[143],"relevance":[144],"Geometric":[150],"Mean.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":23},{"year":2012,"cited_by_count":10}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
