{"id":"https://openalex.org/W2964357658","doi":"https://doi.org/10.1007/978-3-030-32047-8_5","title":"Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines","display_name":"Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964357658","doi":"https://doi.org/10.1007/978-3-030-32047-8_5","mag":"2964357658"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-32047-8_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-32047-8_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1902.08498","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009495942","display_name":"Cun Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cun Mu","raw_affiliation_strings":["Jet.com/Walmart Labs, Hoboken, USA"],"affiliations":[{"raw_affiliation_string":"Jet.com/Walmart Labs, Hoboken, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103262072","display_name":"Jun Zhao","orcid":"https://orcid.org/0000-0002-4883-7139"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Zhao","raw_affiliation_strings":["Jet.com/Walmart Labs, Hoboken, USA"],"affiliations":[{"raw_affiliation_string":"Jet.com/Walmart Labs, Hoboken, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003840863","display_name":"Guang Yang","orcid":"https://orcid.org/0000-0002-3374-6680"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guang Yang","raw_affiliation_strings":["Jet.com/Walmart Labs, Hoboken, NJ, USA","Jet.com/Walmart Labs, Hoboken, USA"],"affiliations":[{"raw_affiliation_string":"Jet.com/Walmart Labs, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I1330693074"]},{"raw_affiliation_string":"Jet.com/Walmart Labs, Hoboken, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021518757","display_name":"Binwei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Binwei Yang","raw_affiliation_strings":["Walmart Labs, Sunnyvale, CA, USA","Walmart Labs, Sunnyvale, USA"],"affiliations":[{"raw_affiliation_string":"Walmart Labs, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1330693074"]},{"raw_affiliation_string":"Walmart Labs, Sunnyvale, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078219471","display_name":"Zheng Yan","orcid":"https://orcid.org/0000-0002-9697-2108"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Yan","raw_affiliation_strings":["Jet.com/Walmart Labs, Hoboken, USA"],"affiliations":[{"raw_affiliation_string":"Jet.com/Walmart Labs, Hoboken, USA","institution_ids":["https://openalex.org/I1330693074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009495942"],"corresponding_institution_ids":["https://openalex.org/I1330693074"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.5127,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63250969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"56"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9973000288009644,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7460918426513672},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.7429438829421997},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.6678791046142578},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.6353516578674316},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5662141442298889},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5228617191314697},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5052757859230042},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.48994511365890503},{"id":"https://openalex.org/keywords/full-text-search","display_name":"Full text search","score":0.4672389328479767},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44234949350357056},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.4275768995285034},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4156695306301117},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41113582253456116},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40352874994277954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38021066784858704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3484301269054413},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3138800859451294},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12472355365753174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11726444959640503},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.09338733553886414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7460918426513672},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.7429438829421997},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.6678791046142578},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.6353516578674316},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5662141442298889},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5228617191314697},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5052757859230042},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.48994511365890503},{"id":"https://openalex.org/C20228898","wikidata":"https://www.wikidata.org/wiki/Q83540","display_name":"Full text search","level":3,"score":0.4672389328479767},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44234949350357056},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.4275768995285034},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4156695306301117},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41113582253456116},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40352874994277954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38021066784858704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3484301269054413},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3138800859451294},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12472355365753174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11726444959640503},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.09338733553886414},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-32047-8_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-32047-8_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:1902.08498","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.08498","pdf_url":"https://arxiv.org/pdf/1902.08498","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2964357658","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1902.08498v2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1902.08498","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1902.08498","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1902.08498","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.08498","pdf_url":"https://arxiv.org/pdf/1902.08498","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W110441439","https://openalex.org/W1511096611","https://openalex.org/W1556784394","https://openalex.org/W1913628733","https://openalex.org/W1973001156","https://openalex.org/W2016245010","https://openalex.org/W2022490362","https://openalex.org/W2057644096","https://openalex.org/W2084363474","https://openalex.org/W2086504823","https://openalex.org/W2122196799","https://openalex.org/W2161455936","https://openalex.org/W2593864460","https://openalex.org/W2625758617","https://openalex.org/W2773430425","https://openalex.org/W2795250672","https://openalex.org/W2798999411","https://openalex.org/W2884979860","https://openalex.org/W2963403492","https://openalex.org/W2964350391","https://openalex.org/W2966008235","https://openalex.org/W4302346529","https://openalex.org/W6601052344"],"related_works":["https://openalex.org/W2571598560","https://openalex.org/W2735058673","https://openalex.org/W2978886173","https://openalex.org/W2000825509","https://openalex.org/W1537946535","https://openalex.org/W1579715973","https://openalex.org/W2238350550","https://openalex.org/W2101618614","https://openalex.org/W2618927448","https://openalex.org/W2511286938","https://openalex.org/W144174343","https://openalex.org/W2308899597","https://openalex.org/W2803553068","https://openalex.org/W2548991892","https://openalex.org/W2090805755","https://openalex.org/W1520207054","https://openalex.org/W3127892494","https://openalex.org/W2064605587","https://openalex.org/W2143246637","https://openalex.org/W3098862373"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}