{"id":"https://openalex.org/W2037377096","doi":"https://doi.org/10.1145/1835449.1835549","title":"Human performance and retrieval precision revisited","display_name":"Human performance and retrieval precision revisited","publication_year":2010,"publication_date":"2010-07-19","ids":{"openalex":"https://openalex.org/W2037377096","doi":"https://doi.org/10.1145/1835449.1835549","mag":"2037377096"},"language":"en","primary_location":{"id":"doi:10.1145/1835449.1835549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835449.1835549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049222552","display_name":"Mark D. Smucker","orcid":"https://orcid.org/0000-0003-4968-6405"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mark D. Smucker","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088692070","display_name":"Chandra Prakash Jethani","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chandra Prakash Jethani","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"595","last_page":"602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9947999715805054,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9900000095367432,"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/computer-science","display_name":"Computer science","score":0.7981253266334534},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6700027585029602},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.48165619373321533},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47580844163894653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3739347755908966},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3698839545249939},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33889222145080566},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.1960192322731018}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7981253266334534},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6700027585029602},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.48165619373321533},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47580844163894653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3739347755908966},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3698839545249939},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33889222145080566},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.1960192322731018},{"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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1835449.1835549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835449.1835549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.389.8848","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.389.8848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mansci.uwaterloo.ca/~msmucker/publications/smucker-SIGIR2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310598","display_name":"Amazon Web Services","ror":"https://ror.org/04mv4n011"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1965690069","https://openalex.org/W1968927634","https://openalex.org/W1980036597","https://openalex.org/W2006811637","https://openalex.org/W2037209912","https://openalex.org/W2054725756","https://openalex.org/W2055529085","https://openalex.org/W2069870183","https://openalex.org/W2084097969","https://openalex.org/W2090715008","https://openalex.org/W2148972377","https://openalex.org/W2156186232","https://openalex.org/W2169783907","https://openalex.org/W2621408339"],"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/W2157408137"],"abstract_inverted_index":{"Several":[0],"studies":[1],"have":[2],"found":[3,26],"that":[4,60,72],"the":[5,36,81,84,92,101],"Cranfield":[6],"approach":[7],"to":[8,21],"evaluation":[9],"can":[10,99],"report":[11],"significant":[12],"performance":[13,23,41,45,62,103],"differences":[14],"between":[15,38],"retrieval":[16,64],"systems":[17],"for":[18,27],"which":[19],"little":[20],"no":[22],"difference":[24],"is":[25],"humans":[28],"completing":[29],"tasks":[30,50],"with":[31,52,91],"these":[32],"systems.":[33],"We":[34,58,69],"revisit":[35],"relationship":[37],"precision":[39,65,82],"and":[40,51,63],"by":[42,106],"measuring":[43],"human":[44,61],"on":[46,80],"tightly":[47],"controlled":[48],"search":[49],"user":[53],"interfaces":[54],"offering":[55],"limited":[56],"interaction.":[57],"find":[59,71],"are":[66],"strongly":[67],"related.":[68],"also":[70],"users":[73],"change":[74,87],"their":[75],"relevance":[76],"judging":[77],"behavior":[78,89],"based":[79],"of":[83,95],"results.":[85],"This":[86],"in":[88],"coupled":[90],"well-known":[93],"lack":[94],"perfect":[96],"inter-assessor":[97],"agreement":[98],"reduce":[100],"measured":[102],"gains":[104],"predicted":[105],"increased":[107],"precision.":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}