{"id":"https://openalex.org/W4292484539","doi":"https://doi.org/10.1145/3531054","title":"On Finding Rank Regret Representatives","display_name":"On Finding Rank Regret Representatives","publication_year":2022,"publication_date":"2022-04-28","ids":{"openalex":"https://openalex.org/W4292484539","doi":"https://doi.org/10.1145/3531054"},"language":"en","primary_location":{"id":"doi:10.1145/3531054","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3531054","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3531054","source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Database Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3531054","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027319416","display_name":"Abolfazl Asudeh","orcid":"https://orcid.org/0000-0002-5251-6186"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abolfazl Asudeh","raw_affiliation_strings":["University of Illinois Chicago, Chicago, Illinois"],"raw_orcid":"https://orcid.org/0000-0002-5251-6186","affiliations":[{"raw_affiliation_string":"University of Illinois Chicago, Chicago, Illinois","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002203026","display_name":"Gautam Das","orcid":"https://orcid.org/0000-0002-4627-9065"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gautam Das","raw_affiliation_strings":["University of Texas at Arlington, Arlington, Texas"],"raw_orcid":"https://orcid.org/0000-0002-4627-9065","affiliations":[{"raw_affiliation_string":"University of Texas at Arlington, Arlington, Texas","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090550596","display_name":"H. V. Jagadish","orcid":"https://orcid.org/0000-0003-0724-5214"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. V. Jagadish","raw_affiliation_strings":["University of Michigan, Ann Arbor, Michigan"],"raw_orcid":"https://orcid.org/0000-0003-0724-5214","affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082947679","display_name":"Shangqi Lu","orcid":"https://orcid.org/0000-0002-7517-7252"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shangqi Lu","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-7517-7252","affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070035154","display_name":"Azade Nazi","orcid":"https://orcid.org/0000-0002-4027-6250"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azade Nazi","raw_affiliation_strings":["Google Brain, Mountain View, California"],"raw_orcid":"https://orcid.org/0000-0002-4027-6250","affiliations":[{"raw_affiliation_string":"Google Brain, Mountain View, California","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048609852","display_name":"Yufei Tao","orcid":"https://orcid.org/0000-0003-3883-5452"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yufei Tao","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-5452","affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075398794","display_name":"Nan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Zhang","raw_affiliation_strings":["American University, Washington DC"],"raw_orcid":"https://orcid.org/0000-0002-8929-0395","affiliations":[{"raw_affiliation_string":"American University, Washington DC","institution_ids":["https://openalex.org/I181401687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112858490","display_name":"Jianwen Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianwen Zhao","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-0454-7885","affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4459,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58232597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"47","issue":"3","first_page":"1","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9951000213623047,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/regret","display_name":"Regret","score":0.9196900129318237},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7974921464920044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7820882797241211},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6724230647087097},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5919554233551025},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5782006978988647},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5390656590461731},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4688108265399933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4596097469329834},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45315927267074585},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.44118767976760864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3466605246067047},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34271931648254395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28847748041152954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14915266633033752}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.9196900129318237},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7974921464920044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820882797241211},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6724230647087097},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5919554233551025},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5782006978988647},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5390656590461731},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4688108265399933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4596097469329834},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45315927267074585},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.44118767976760864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3466605246067047},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34271931648254395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28847748041152954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14915266633033752},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3531054","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3531054","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3531054","source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Database Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3531054","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3531054","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3531054","source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Database Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1092205887","display_name":"SaTC: CORE: Medium: Situation-Aware Identification and Rectification of Regrettable Privacy Decisions","funder_award_id":"1851637","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1982121311","display_name":"III: Small: Collaborative Research: An Optimization Framework for Designing Derived Attributes with Humans-in-the-loop","funder_award_id":"2008602","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3385564969","display_name":"III: Medium: Collaborative Research: Fairness in Web Database Applications","funder_award_id":"2106176","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3710419309","display_name":null,"funder_award_id":"1741022","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5780806668","display_name":"III: Medium: Collaborative Research: Fairness in Web Database Applications","funder_award_id":"2107296","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6268214573","display_name":null,"funder_award_id":"2040807","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292484539.pdf","grobid_xml":"https://content.openalex.org/works/W4292484539.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W79208629","https://openalex.org/W117619795","https://openalex.org/W1496278954","https://openalex.org/W1539645382","https://openalex.org/W1974343573","https://openalex.org/W1985538939","https://openalex.org/W1986685589","https://openalex.org/W1992966580","https://openalex.org/W1998952728","https://openalex.org/W2004358658","https://openalex.org/W2009688537","https://openalex.org/W2014364956","https://openalex.org/W2021751455","https://openalex.org/W2046557563","https://openalex.org/W2048729985","https://openalex.org/W2049628988","https://openalex.org/W2050356354","https://openalex.org/W2052948190","https://openalex.org/W2054459484","https://openalex.org/W2054680493","https://openalex.org/W2058629542","https://openalex.org/W2064561047","https://openalex.org/W2086804918","https://openalex.org/W2091183812","https://openalex.org/W2092181172","https://openalex.org/W2094650250","https://openalex.org/W2094683955","https://openalex.org/W2099797738","https://openalex.org/W2103893986","https://openalex.org/W2104211550","https://openalex.org/W2113295349","https://openalex.org/W2116396741","https://openalex.org/W2116936708","https://openalex.org/W2134195632","https://openalex.org/W2134206624","https://openalex.org/W2147017508","https://openalex.org/W2149757010","https://openalex.org/W2167163837","https://openalex.org/W2170188482","https://openalex.org/W2193968147","https://openalex.org/W2282988760","https://openalex.org/W2444486138","https://openalex.org/W2591955099","https://openalex.org/W2605212527","https://openalex.org/W2612011639","https://openalex.org/W2782288225","https://openalex.org/W2952154529","https://openalex.org/W2963118614","https://openalex.org/W2963823763","https://openalex.org/W4206237997","https://openalex.org/W4241195282","https://openalex.org/W4251391716","https://openalex.org/W4254977685","https://openalex.org/W4256046779","https://openalex.org/W6629583058","https://openalex.org/W6764373776"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W4390446658","https://openalex.org/W2138488530","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907"],"abstract_inverted_index":{"Selecting":[0],"the":[1,15,21,24,52,55,67,93,97,107,115,123,127,136,162,169,180,185,189,193,197,204,248],"best":[2,68,98],"items":[3,45],"in":[4,11,20,58,117,155,179,183,218],"a":[5,8,48,78,141,231,254],"dataset":[6],"is":[7,63,138,214,222,243,256,264],"common":[9],"task":[10],"data":[12,198],"exploration.":[13],"However,":[14,135],"concept":[16],"of":[17,23,51,70,81,95,126,161,171,196,203,207,233],"\u201cbest\u201d":[18],"lies":[19],"eyes":[22],"beholder:":[25],"Different":[26],"users":[27,145,166],"may":[28,146],"consider":[29,176],"different":[30,38,237],"attributes":[31],"more":[32,227],"important":[33],"and,":[34],"hence,":[35],"arrive":[36],"at":[37,200],"rankings.":[39],"Nevertheless,":[40],"one":[41,202],"can":[42,76,87,157,276],"remove":[43],"\u201cdominated\u201d":[44],"and":[46,103,144,187,266],"create":[47],"\u201crepresentative\u201d":[49],"subset":[50,195],"data,":[53],"comprising":[54],"\u201cbest":[56],"items\u201d":[57],"it.":[59],"A":[60,83],"Pareto-optimal":[61],"representative":[62,86,124,191],"guaranteed":[64],"to":[65,122,235],"contain":[66],"item":[69,99],"each":[71,101],"possible":[72,209],"ranking,":[73],"but":[74,221],"it":[75],"be":[77,88],"large":[79,159],"portion":[80],"data.":[82],"much":[84],"smaller":[85],"found":[89],"if":[90],"we":[91,175,275],"relax":[92],"requirement":[94],"including":[96],"for":[100,130],"user":[102],"instead":[104,125],"just":[105],"limit":[106],"users\u2019":[108],"\u201cregret.\u201d":[109],"Existing":[110],"work":[111],"defines":[112],"regret":[113,186],"as":[114,192,240],"loss":[116],"score":[118,137,156],"by":[119],"limiting":[120],"consideration":[121],"full":[128],"dataset,":[129],"any":[131,208],"chosen":[132],"ranking":[133,210],"function.":[134,211],"often":[139],"not":[140,147],"meaningful":[142],"number,":[143],"understand":[148,168],"its":[149],"absolute":[150],"value.":[151],"Sometimes":[152],"small":[153,279,282],"ranges":[154],"include":[158],"fractions":[160],"dataset.":[163],"In":[164],"contrast,":[165],"do":[167],"notion":[170],"rank":[172],"ordering.":[173],"Therefore,":[174],"items\u2019":[177],"positions":[178],"ranked":[181],"list":[182],"defining":[184],"propose":[188],"rank-regret":[190],"minimal":[194],"containing":[199],"least":[201],"top-":[205],"k":[206,246],"This":[212],"problem":[213],"polynomial":[215],"time":[216],"solvable":[217],"two-dimensional":[219],"space":[220],"NP-hard":[223],"on":[224,245,270],"three":[225],"or":[226,251,261],"dimensions.":[228],"We":[229],"design":[230],"suite":[232],"algorithms":[234],"fulfill":[236],"purposes,":[238],"such":[239],"whether":[241,253,258],"relaxation":[242],"permitted":[244],",":[247],"result":[249],"size,":[250],"both,":[252],"distribution":[255],"known,":[257],"theoretical":[259],"guarantees":[260],"practical":[262],"efficiency":[263],"important,":[265],"so":[267],"on.":[268],"Experiments":[269],"real":[271],"datasets":[272],"demonstrate":[273],"that":[274],"efficiently":[277],"find":[278],"subsets":[280],"with":[281],"rank-regrets.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
