{"id":"https://openalex.org/W2169746656","doi":"https://doi.org/10.1145/2771937.2771938","title":"Ultra-Fast Similarity Search Using Ternary Content Addressable Memory","display_name":"Ultra-Fast Similarity Search Using Ternary Content Addressable Memory","publication_year":2015,"publication_date":"2015-05-31","ids":{"openalex":"https://openalex.org/W2169746656","doi":"https://doi.org/10.1145/2771937.2771938","mag":"2169746656"},"language":"en","primary_location":{"id":"doi:10.1145/2771937.2771938","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2771937.2771938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Workshop on Data Management on New Hardware","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/A5091083281","display_name":"Anat Bremler-Barr","orcid":"https://orcid.org/0000-0002-8165-2558"},"institutions":[{"id":"https://openalex.org/I138898306","display_name":"Reichman University","ror":"https://ror.org/01px5cv07","country_code":"IL","type":"education","lineage":["https://openalex.org/I138898306"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Anat Bremler-Barr","raw_affiliation_strings":["The Interdisciplinary Center, Herzliya, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Interdisciplinary Center, Herzliya, Israel","institution_ids":["https://openalex.org/I138898306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011761190","display_name":"Yotam Harchol","orcid":"https://orcid.org/0000-0002-0659-7800"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yotam Harchol","raw_affiliation_strings":["The Hebrew University, Jerusalem, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hebrew University, Jerusalem, Israel","institution_ids":["https://openalex.org/I197251160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058542634","display_name":"David Hay","orcid":"https://orcid.org/0000-0001-9349-6049"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"David Hay","raw_affiliation_strings":["The Hebrew University, Jerusalem, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hebrew University, Jerusalem, Israel","institution_ids":["https://openalex.org/I197251160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052008807","display_name":"Yacov Hel-Or","orcid":"https://orcid.org/0000-0002-6880-3374"},"institutions":[{"id":"https://openalex.org/I138898306","display_name":"Reichman University","ror":"https://ror.org/01px5cv07","country_code":"IL","type":"education","lineage":["https://openalex.org/I138898306"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yacov Hel-Or","raw_affiliation_strings":["The Interdisciplinary Center, Herzliya, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Interdisciplinary Center, Herzliya, Israel","institution_ids":["https://openalex.org/I138898306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9461,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85367951,"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":"1","last_page":"10"},"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":0.9929999709129333,"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/T11478","display_name":"Caching and Content Delivery","score":0.9923999905586243,"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/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.8217094540596008},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.7795593738555908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7428416609764099},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6498097777366638},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6211928725242615},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6169432401657104},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4965842366218567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48504799604415894},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.48290038108825684},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.47454890608787537},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.44745558500289917},{"id":"https://openalex.org/keywords/ternary-operation","display_name":"Ternary operation","score":0.4233551323413849},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.42075347900390625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4122454524040222},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3594416677951813},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33369722962379456},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.1483628749847412},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07899123430252075},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07508879899978638}],"concepts":[{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.8217094540596008},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.7795593738555908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428416609764099},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6498097777366638},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6211928725242615},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6169432401657104},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4965842366218567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48504799604415894},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.48290038108825684},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.47454890608787537},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.44745558500289917},{"id":"https://openalex.org/C64452783","wikidata":"https://www.wikidata.org/wiki/Q1524945","display_name":"Ternary operation","level":2,"score":0.4233551323413849},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.42075347900390625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4122454524040222},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3594416677951813},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33369722962379456},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.1483628749847412},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07899123430252075},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07508879899978638},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2771937.2771938","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2771937.2771938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Workshop on Data Management on New Hardware","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":23,"referenced_works":["https://openalex.org/W93405014","https://openalex.org/W1497953515","https://openalex.org/W1541459201","https://openalex.org/W1566135517","https://openalex.org/W2028960610","https://openalex.org/W2038276547","https://openalex.org/W2062539466","https://openalex.org/W2083518538","https://openalex.org/W2083953017","https://openalex.org/W2096077837","https://openalex.org/W2110764733","https://openalex.org/W2124386111","https://openalex.org/W2126474762","https://openalex.org/W2128703518","https://openalex.org/W2139587756","https://openalex.org/W2141362318","https://openalex.org/W2147717514","https://openalex.org/W2150593711","https://openalex.org/W2151135734","https://openalex.org/W2167442631","https://openalex.org/W2169053198","https://openalex.org/W2397770138","https://openalex.org/W3152336969"],"related_works":["https://openalex.org/W2148008870","https://openalex.org/W2381195555","https://openalex.org/W4246757943","https://openalex.org/W3094967175","https://openalex.org/W2368606575","https://openalex.org/W2045263322","https://openalex.org/W2166822184","https://openalex.org/W3096071782","https://openalex.org/W2902799860","https://openalex.org/W4289129280"],"abstract_inverted_index":{"Similarity":[0],"search,":[1,71],"and":[2,24],"specifically":[3],"the":[4,37,67,70],"nearest-neighbor":[5],"search":[6],"(NN)":[7],"problem":[8],"is":[9],"widely":[10],"used":[11],"in":[12,27,56],"many":[13,28],"fields":[14],"of":[15,40,69],"computer":[16,22],"science":[17],"such":[18,30,61],"as":[19,62],"machine":[20],"learning,":[21],"vision":[23],"databases.":[25],"However,":[26],"settings":[29],"searches":[31],"are":[32,73],"known":[33],"to":[34],"suffer":[35],"from":[36],"notorious":[38],"curse":[39],"dimensionality,":[41],"where":[42],"running":[43],"time":[44],"grows":[45],"exponentially":[46],"with":[47],"d.":[48],"This":[49],"causes":[50],"severe":[51],"performance":[52,68],"degradation":[53],"when":[54],"working":[55],"high-dimensional":[57],"spaces.":[58],"Approximate":[59],"techniques":[60],"locality-sensitive":[63],"hashing":[64],"[2]":[65],"improve":[66],"but":[72],"still":[74],"computationally":[75],"intensive.":[76]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}