{"id":"https://openalex.org/W2397173492","doi":"https://doi.org/10.14778/2850583.2850589","title":"Neighbor-sensitive hashing","display_name":"Neighbor-sensitive hashing","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2397173492","doi":"https://doi.org/10.14778/2850583.2850589","mag":"2397173492"},"language":"en","primary_location":{"id":"doi:10.14778/2850583.2850589","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2850583.2850589","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","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/A5023168280","display_name":"Yongjoo Park","orcid":"https://orcid.org/0000-0003-3786-6214"},"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":"Yongjoo Park","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039133265","display_name":"Michael Cafarella","orcid":"https://orcid.org/0000-0001-6122-0590"},"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":"Michael Cafarella","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060287971","display_name":"Barzan Mozafari","orcid":"https://orcid.org/0000-0002-3581-3875"},"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":"Barzan Mozafari","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4338,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.9295465,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"3","first_page":"144","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T11478","display_name":"Caching and Content Delivery","score":0.9918000102043152,"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/T11106","display_name":"Data Management and Algorithms","score":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.8510702848434448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7045654654502869},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5672343969345093},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5468071699142456},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5109357237815857},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5026021003723145},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.4814138412475586},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.47719869017601013},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4710550010204315},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.4575897455215454},{"id":"https://openalex.org/keywords/perfect-hash-function","display_name":"Perfect hash function","score":0.4510771334171295},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4354557991027832},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4046747088432312},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.349348247051239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3275134861469269},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.3250638544559479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21985462307929993},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.11810538172721863}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8510702848434448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7045654654502869},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5672343969345093},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5468071699142456},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5109357237815857},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5026021003723145},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.4814138412475586},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.47719869017601013},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4710550010204315},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.4575897455215454},{"id":"https://openalex.org/C87431388","wikidata":"https://www.wikidata.org/wiki/Q2070573","display_name":"Perfect hash function","level":4,"score":0.4510771334171295},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4354557991027832},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4046747088432312},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.349348247051239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3275134861469269},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.3250638544559479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21985462307929993},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.11810538172721863},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2850583.2850589","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2850583.2850589","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W642889137","https://openalex.org/W1502916507","https://openalex.org/W1541459201","https://openalex.org/W1566022212","https://openalex.org/W1968150162","https://openalex.org/W1969241115","https://openalex.org/W1982193706","https://openalex.org/W1990537115","https://openalex.org/W1992371516","https://openalex.org/W1994655805","https://openalex.org/W2000830496","https://openalex.org/W2002791618","https://openalex.org/W2012833704","https://openalex.org/W2020242055","https://openalex.org/W2024081861","https://openalex.org/W2037046020","https://openalex.org/W2051666324","https://openalex.org/W2071989194","https://openalex.org/W2073459066","https://openalex.org/W2084363474","https://openalex.org/W2106318383","https://openalex.org/W2110363867","https://openalex.org/W2118269922","https://openalex.org/W2122196799","https://openalex.org/W2123049307","https://openalex.org/W2124509324","https://openalex.org/W2125671345","https://openalex.org/W2129875280","https://openalex.org/W2130660124","https://openalex.org/W2132234208","https://openalex.org/W2135624716","https://openalex.org/W2140376886","https://openalex.org/W2144265691","https://openalex.org/W2145065594","https://openalex.org/W2145360759","https://openalex.org/W2145607950","https://openalex.org/W2147069236","https://openalex.org/W2150735108","https://openalex.org/W2152926413","https://openalex.org/W2155502235","https://openalex.org/W2156855109","https://openalex.org/W2158169729","https://openalex.org/W2158658988","https://openalex.org/W2162006472","https://openalex.org/W2164338181","https://openalex.org/W2164507334","https://openalex.org/W2165828254","https://openalex.org/W2165949563","https://openalex.org/W2165990006","https://openalex.org/W2166742463","https://openalex.org/W2170037597","https://openalex.org/W2251864938","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W2296457436","https://openalex.org/W2615303257","https://openalex.org/W2913932916","https://openalex.org/W4242599275"],"related_works":["https://openalex.org/W2094127768","https://openalex.org/W2008159385","https://openalex.org/W102859714","https://openalex.org/W1551533237","https://openalex.org/W1481411695","https://openalex.org/W2084899141","https://openalex.org/W2044784665","https://openalex.org/W4385382899","https://openalex.org/W2740037903","https://openalex.org/W4302306377"],"abstract_inverted_index":{"Approximate":[0],"k":[1,4,27,45,51,66,127,171],"NN":[2,28,46,52,67,128,172],"(":[3],"-nearest":[5],"neighbor)":[6],"techniques":[7,35],"using":[8],"binary":[9],"hash":[10,40,124],"functions":[11,125],"are":[12,83,101],"among":[13],"the":[14,21,31,50,86,91,94,117,136,142,205],"most":[15],"commonly":[16],"used":[17],"approaches":[18],"for":[19,74,120,126,181],"overcoming":[20],"prohibitive":[22],"cost":[23],"of":[24,33,146,170,209],"performing":[25],"exact":[26],"queries.":[29],"However,":[30],"success":[32],"these":[34],"largely":[36],"depends":[37],"on":[38,56,156,199],"their":[39],"functions'":[41],"ability":[42],"to":[43,78,85,97,103,134,165],"distinguish":[44],"items;":[47],"that":[48,80,90,185,194],"is,":[49,131],"items":[53,68,82,92,140],"retrieved":[54],"based":[55,198],"data":[57],"items'":[58],"hashcodes":[59,95],",":[60],"should":[61],"include":[62],"as":[63,69],"many":[64],"true":[65,105],"possible.":[70],"A":[71],"widely-adopted":[72],"principle":[73,114],"this":[75,108,112,158,187,200],"process":[76],"is":[77,176],"ensure":[79],"similar":[81,96,139],"assigned":[84],"same":[87],"hashcode":[88,100,143],"so":[89],"with":[93],"a":[98,166,179,182,195],"query's":[99],"likely":[102],"be":[104],"neighbors.":[106],"In":[107],"work,":[109],"we":[110,132],"abandon":[111],"heavily-utilized":[113],"and":[115,160,207],"pursue":[116],"opposite":[118],"direction":[119],"generating":[121],"more":[122,167],"effective":[123],"tasks.":[129],"That":[130],"aim":[133],"increase":[135],"distance":[137],"between":[138],"in":[141],"space,":[144],"instead":[145],"reducing":[147],"it.":[148],"Our":[149,174,190],"contribution":[150],"begins":[151],"by":[152,178],"providing":[153],"theoretical":[154],"analysis":[155,175],"why":[157],"revolutionary":[159],"seemingly":[161],"counter-intuitive":[162,201],"approach":[163],"leads":[164],"accurate":[168],"identification":[169],"items.":[173],"followed":[177],"proposal":[180],"hashing":[183,196],"algorithm":[184,197],"embeds":[186],"novel":[188],"principle.":[189],"empirical":[191],"studies":[192],"confirm":[193],"idea":[202],"significantly":[203],"improves":[204],"efficiency":[206],"accuracy":[208],"state-of-the-art":[210],"techniques.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}