{"id":"https://openalex.org/W3029962482","doi":"https://doi.org/10.1145/3375395.3387667","title":"Efficient Indexes for Diverse Top-k Range Queries","display_name":"Efficient Indexes for Diverse Top-k Range Queries","publication_year":2020,"publication_date":"2020-05-29","ids":{"openalex":"https://openalex.org/W3029962482","doi":"https://doi.org/10.1145/3375395.3387667","mag":"3029962482"},"language":"en","primary_location":{"id":"doi:10.1145/3375395.3387667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375395.3387667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","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/A5058649592","display_name":"Pankaj K. Agarwal","orcid":"https://orcid.org/0000-0002-9439-181X"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pankaj K. Agarwal","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015883931","display_name":"Stavros Sintos","orcid":"https://orcid.org/0000-0002-2114-8886"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stavros Sintos","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061138887","display_name":"Alex Steiger","orcid":"https://orcid.org/0000-0003-1546-6244"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Steiger","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":1.1502,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.78365747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991000294685364,"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":0.9991000294685364,"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/T12288","display_name":"Optimization and Search Problems","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/rectangle","display_name":"Rectangle","score":0.7065873742103577},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.592559278011322},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5739240050315857},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5726882219314575},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.5379102826118469},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5206496119499207},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4543350338935852},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4283027648925781},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.41694480180740356},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.41386646032333374},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4103606939315796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34145835041999817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29256945848464966},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1394970417022705},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06807181239128113}],"concepts":[{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.7065873742103577},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.592559278011322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5739240050315857},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5726882219314575},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.5379102826118469},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5206496119499207},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4543350338935852},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4283027648925781},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.41694480180740356},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.41386646032333374},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4103606939315796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34145835041999817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29256945848464966},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1394970417022705},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06807181239128113},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3375395.3387667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375395.3387667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","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":43,"referenced_works":["https://openalex.org/W1480708938","https://openalex.org/W1497640858","https://openalex.org/W1858509911","https://openalex.org/W1965734368","https://openalex.org/W1968609173","https://openalex.org/W1973264045","https://openalex.org/W1973387720","https://openalex.org/W1986297550","https://openalex.org/W1990605847","https://openalex.org/W1991657767","https://openalex.org/W1994664542","https://openalex.org/W2016973429","https://openalex.org/W2022307052","https://openalex.org/W2028738060","https://openalex.org/W2039797405","https://openalex.org/W2054011861","https://openalex.org/W2063572899","https://openalex.org/W2067636581","https://openalex.org/W2103112899","https://openalex.org/W2108908993","https://openalex.org/W2135993142","https://openalex.org/W2136267788","https://openalex.org/W2139349113","https://openalex.org/W2146420558","https://openalex.org/W2152228468","https://openalex.org/W2158944832","https://openalex.org/W2177686805","https://openalex.org/W2220451813","https://openalex.org/W2255388485","https://openalex.org/W2427881153","https://openalex.org/W2567924388","https://openalex.org/W2735816714","https://openalex.org/W2798603477","https://openalex.org/W2963187485","https://openalex.org/W2963512989","https://openalex.org/W2974768792","https://openalex.org/W3137423196","https://openalex.org/W4206206918","https://openalex.org/W6617901010","https://openalex.org/W6638525300","https://openalex.org/W6666564640","https://openalex.org/W6679494916","https://openalex.org/W6738393657"],"related_works":["https://openalex.org/W2242098268","https://openalex.org/W4244945894","https://openalex.org/W2760515006","https://openalex.org/W2802042052","https://openalex.org/W1987609185","https://openalex.org/W2003462717","https://openalex.org/W4224881918","https://openalex.org/W2120337563","https://openalex.org/W2097569240","https://openalex.org/W2468848027"],"abstract_inverted_index":{"Let":[0],"P":[1,29],"be":[2,177,200,229],"a":[3,18,33,36,56,90,97,114,127,163,167,193,196],"set":[4,57,91,115],"of":[5,16,20,28,55,58,68,92,100,116,135,210,220],"n":[6],"(non-negatively)":[7],"weighted":[8,98],"points":[9,27,59,94,120,213],"in":[10,107,137,149,170,179,202,231,239],"Rd.":[11],"We":[12,75,130],"consider":[13],"the":[14,84,108,145,150,157,211,221],"problem":[15,37,148,160],"computing":[17],"subset":[19],"(at":[21],"most)":[22],"k":[23,93,119],"diverse":[24],"and":[25,48,53,72,79,103,106,125,242],"high-valued":[26],"that":[30,95,121,161],"lie":[31,215],"inside":[32],"query":[34,164,194,222],"range,":[35],"relevant":[38],"to":[39,88,112,214],"many":[40],"areas":[41],"such":[42],"as":[43,62],"search":[44],"engines,":[45],"recommendation":[46],"systems,":[47],"online":[49],"stores.":[50],"The":[51,174,235],"diversity":[52,104,128],"value":[54,102,124],"are":[60,237],"measured":[61],"functions":[63],"(say":[64],"average":[65],"or":[66],"minimum)":[67],"their":[69,101,123],"pairwise":[70],"distances":[71],"weights,":[73],"respectively.":[74,245],"study":[76],"both":[77],"bicriteria":[78,146,158],"constrained":[80,188],"optimization":[81,147,159,189],"problems.":[82],"In":[83],"former,":[85],"we":[86,110,207],"wish":[87,111],"return":[89,113,166],"maximize":[96,122],"sum":[99],"measures,":[105],"latter,":[109],"at":[117,216],"most":[118,217],"satisfy":[126],"constraint.":[129],"obtain":[131],"three":[132],"main":[133],"types":[134],"results":[136],"this":[138],"paper:":[139],"Near-linear":[140,153,183],"time":[141,171],"(0.5-\u03b5)-approximation":[142],"algorithms":[143],"for":[144,156,162,186],"offline":[151],"setting.":[152],"size":[154,184],"indexes":[155,175,185,236],"rectangle":[165,223],"(0.5-\u03b5)-approximate":[168],"solution":[169,198,227],"O(k":[172,203,232],"polylog(n)).":[173],"can":[176,199,228],"constructed":[178,238],"O(n":[180,240],"polylog(n))":[181,204,233,241],"time.":[182,205,234],"answering":[187],"range":[190],"queries.":[191],"For":[192],"rectangle,":[195],"0.5O(d)-approximate":[197],"computed":[201,230],"If":[206],"allow":[208],"some":[209],"returned":[212],"\u03b5":[218],"outside":[219],"then":[224],"an":[225],"(1-\u03b5)-approximate":[226],"nO(1/\u03b5d)":[243],"time,":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}