{"id":"https://openalex.org/W1616993132","doi":"https://doi.org/10.1109/tkde.2015.2448541","title":"A Family of Rank Similarity Measures Based on Maximized Effectiveness Difference","display_name":"A Family of Rank Similarity Measures Based on Maximized Effectiveness Difference","publication_year":2015,"publication_date":"2015-06-22","ids":{"openalex":"https://openalex.org/W1616993132","doi":"https://doi.org/10.1109/tkde.2015.2448541","mag":"1616993132"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2015.2448541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2448541","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5043679408","display_name":"Luchen Tan","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":true,"raw_author_name":"Luchen Tan","raw_affiliation_strings":["School of Computer Science, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037737168","display_name":"Charles L. A. Clarke","orcid":"https://orcid.org/0000-0001-8178-9194"},"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":"Charles L.A. Clarke","raw_affiliation_strings":["School of Computer Science, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043679408"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":10.3297,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.97887391,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"27","issue":"11","first_page":"2865","last_page":"2877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9937999844551086,"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":0.758550763130188},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7181963920593262},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7055277228355408},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7033023834228516},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6636638641357422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6613026261329651},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6370512843132019},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6094982624053955},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6059413552284241},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5890212059020996},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4896429181098938},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37226271629333496},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3507746756076813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2586733102798462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24942293763160706},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.17091816663742065}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.758550763130188},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7181963920593262},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7055277228355408},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7033023834228516},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6636638641357422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6613026261329651},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6370512843132019},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6094982624053955},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6059413552284241},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5890212059020996},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4896429181098938},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37226271629333496},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3507746756076813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2586733102798462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24942293763160706},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.17091816663742065},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2015.2448541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2448541","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W132343450","https://openalex.org/W135055223","https://openalex.org/W1493399377","https://openalex.org/W1553751323","https://openalex.org/W1916537866","https://openalex.org/W1963571554","https://openalex.org/W1966835268","https://openalex.org/W1968927634","https://openalex.org/W1973836822","https://openalex.org/W1977301265","https://openalex.org/W1983164881","https://openalex.org/W1988613011","https://openalex.org/W1992549066","https://openalex.org/W2004918107","https://openalex.org/W2021581601","https://openalex.org/W2025561764","https://openalex.org/W2026430213","https://openalex.org/W2027382829","https://openalex.org/W2029009258","https://openalex.org/W2033498477","https://openalex.org/W2034173707","https://openalex.org/W2037377096","https://openalex.org/W2053100920","https://openalex.org/W2058624977","https://openalex.org/W2069870183","https://openalex.org/W2077620588","https://openalex.org/W2097246133","https://openalex.org/W2097433657","https://openalex.org/W2099213975","https://openalex.org/W2104822358","https://openalex.org/W2106404250","https://openalex.org/W2106532293","https://openalex.org/W2113640060","https://openalex.org/W2115536324","https://openalex.org/W2115766295","https://openalex.org/W2124504084","https://openalex.org/W2130145422","https://openalex.org/W2137431585","https://openalex.org/W2152314154","https://openalex.org/W2153783077","https://openalex.org/W2157409767","https://openalex.org/W2160266360","https://openalex.org/W2918053736","https://openalex.org/W4244308905","https://openalex.org/W6605428294","https://openalex.org/W6605513013","https://openalex.org/W6629367956","https://openalex.org/W6680537648"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907"],"abstract_inverted_index":{"Rank":[0],"similarity":[1,65,161,198],"measures":[2,30],"provide":[3],"a":[4,24,36,41,61,143,154,195,218],"method":[5],"for":[6,16,116,159],"quantifying":[7],"differences":[8,136],"between":[9,137,221],"search":[10,25],"engine":[11],"results":[12],"without":[13],"the":[14,21,33,50,77,82,98,110,147,163],"need":[15],"relevance":[17,206,211],"judgments.":[18],"For":[19],"example,":[20],"providers":[22],"of":[23,35,44,63,76,84,100,146,156,165],"service":[26],"might":[27],"use":[28],"such":[29],"to":[31,181,193,217],"estimate":[32],"impact":[34,51],"proposed":[37],"algorithmic":[38],"change":[39],"across":[40],"large":[42],"number":[43,155],"queries-perhaps":[45],"millions-identifying":[46],"those":[47],"queries":[48],"where":[49],"is":[52,79,142,213],"greatest.":[53],"In":[54,200],"this":[55,88,92],"paper,":[56],"we":[57,130,168],"propose":[58],"and":[59,124,167,208],"validate":[60],"family":[62,78],"rank":[64,160,197],"measures,":[66,120],"each":[67],"derived":[68],"from":[69,188],"an":[70,101,127],"associated":[71,89,111,148],"effectiveness":[72,85,94,119,191,222],"measure.":[73,90,112,149,199],"Each":[74],"member":[75],"based":[80],"on":[81,109],"maximization":[83],"difference":[86,95,220],"under":[87],"Computing":[91],"maximized":[93],"(MED)":[96],"requires":[97],"solution":[99],"optimization":[102],"problem":[103],"that":[104,132,170],"varies":[105],"in":[106,162],"difficulty,":[107],"depending":[108],"We":[113],"present":[114],"solutions":[115],"several":[117],"standard":[118],"including":[121],"nDCG,":[122],"AP,":[123],"ERR.":[125],"Through":[126],"experimental":[128],"validation,":[129],"show":[131],"MED":[133,141,171,178,202],"reveals":[134],"meaningful":[135],"retrieval":[138],"runs.":[139],"Mathematically,":[140],"metric,":[144],"regardless":[145],"Prior":[150],"work":[151],"has":[152],"established":[153,190],"other":[157],"desiderata":[158],"context":[164],"search,":[166],"demonstrate":[169],"satisfies":[172],"these":[173],"requirements.":[174],"Unlike":[175],"previous":[176],"proposals,":[177],"allows":[179],"us":[180],"directly":[182],"translate":[183],"assumptions":[184],"about":[185],"user":[186],"behavior":[187],"any":[189],"measure":[192],"create":[194],"corresponding":[196],"addition,":[201],"cleanly":[203],"accommodates":[204],"partial":[205],"judgments,":[207],"if":[209],"complete":[210],"information":[212],"available,":[214],"it":[215],"reduces":[216],"simple":[219],"values.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
