{"id":"https://openalex.org/W2152567054","doi":"https://doi.org/10.1109/icsmc.2009.5346117","title":"Impedance matching of humans &amp;#x21D4; machines in high-Q information retrieval systems","display_name":"Impedance matching of humans &amp;#x21D4; machines in high-Q information retrieval systems","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2152567054","doi":"https://doi.org/10.1109/icsmc.2009.5346117","mag":"2152567054"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5086923793","display_name":"Robert S. Bauer","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Robert S. Bauer","raw_affiliation_strings":["H5, San Francisco, USA"],"affiliations":[{"raw_affiliation_string":"H5, San Francisco, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073702979","display_name":"Dan Brassil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Brassil","raw_affiliation_strings":["H5, San Francisco, USA"],"affiliations":[{"raw_affiliation_string":"H5, San Francisco, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045107570","display_name":"Christopher J. Hogan","orcid":"https://orcid.org/0000-0001-7655-4980"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher Hogan","raw_affiliation_strings":["H5, San Francisco, USA"],"affiliations":[{"raw_affiliation_string":"H5, San Francisco, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016792554","display_name":"Gina Taranto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gina Taranto","raw_affiliation_strings":["H5, San Francisco, USA"],"affiliations":[{"raw_affiliation_string":"H5, San Francisco, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086923793"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3085,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85195299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9965000152587891,"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/T12031","display_name":"Speech and dialogue systems","score":0.9961000084877014,"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":0.7205476760864258},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5447389483451843},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46023228764533997},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4510830342769623},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42834150791168213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4240197241306305},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4227634072303772},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09651583433151245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205476760864258},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5447389483451843},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46023228764533997},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4510830342769623},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42834150791168213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4240197241306305},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4227634072303772},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09651583433151245},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1480224957","https://openalex.org/W1532325895","https://openalex.org/W1551289443","https://openalex.org/W1660390307","https://openalex.org/W1854214752","https://openalex.org/W2083605078","https://openalex.org/W2113828825","https://openalex.org/W2122126199","https://openalex.org/W2126105412","https://openalex.org/W2130491553","https://openalex.org/W2135880665","https://openalex.org/W2251310041","https://openalex.org/W4213009331","https://openalex.org/W4387835698","https://openalex.org/W6639055396","https://openalex.org/W6678219164","https://openalex.org/W6678644457","https://openalex.org/W6679674539","https://openalex.org/W6679904873"],"related_works":["https://openalex.org/W1967370444","https://openalex.org/W2150136235","https://openalex.org/W2085215424","https://openalex.org/W2088814244","https://openalex.org/W2157408137","https://openalex.org/W4312252109","https://openalex.org/W126620210","https://openalex.org/W2054406670","https://openalex.org/W2156296249","https://openalex.org/W2085542554"],"abstract_inverted_index":{"Treating":[0],"the":[1,15,29,40,134],"information":[2],"retrieval":[3],"(IR)":[4],"task":[5],"as":[6,88],"one":[7],"of":[8,32,56,84,127,133],"classification":[9],"has":[10],"been":[11],"shown":[12],"to":[13,19,62,108],"be":[14,36],"most":[16],"effective":[17],"way":[18],"achieve":[20,109],"high":[21,111,115],"performance.":[22],"In":[23],"real-world":[24],"Systems,":[25],"a":[26,46,64,122],"human":[27,69],"is":[28],"ultimate":[30],"determinant":[31],"relevance":[33],"and":[34,59,86,91,100],"must":[35],"integrated":[37],"symbiotically":[38],"into":[39],"control":[41,79],"structures.":[42],"We":[43,117],"report":[44,118],"on":[45],"hybrid,":[47],"Human-Assisted":[48],"Computer":[49],"Classification":[50],"system":[51],"that":[52],"opportunistically":[53],"pairs":[54],"processes":[55,102],"Active":[57],"Learning":[58],"User":[60],"Modeling":[61],"produce":[63],"high-Q":[65],"computational":[66],"engine.":[67],"Top-down":[68],"goals":[70],"are":[71,94],"impedance-matched":[72],"with":[73,114,125],"bottom-up":[74],"corpus":[75],"analysis":[76],"utilizing":[77],"critical":[78],"loops.":[80],"The":[81],"System":[82],"contributions":[83],"humans":[85],"machines":[87],"'Proxy,'":[89],"'Assessor,'":[90],"'Classifier'":[92],"elements":[93],"blended":[95],"through":[96],"inter-related":[97],"'Model,'":[98],"'Match,'":[99],"'Measure'":[101],"(M":[103],"<sup":[104],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[106],")":[107],"consistently":[110],"precision":[112],"IR":[113],"recall.":[116],"results":[119],"for":[120],"over":[121],"dozen":[123],"topics,":[124],"confirmation":[126],"internal":[128],"measures":[129],"from":[130],"topic":[131],"103":[132],"2008":[135],"TREC":[136],"legal":[137],"track's":[138],"interactive":[139],"task.":[140]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}