{"id":"https://openalex.org/W1972208442","doi":"https://doi.org/10.1145/2661829.2662145","title":"Sparse Semantic Hashing for Efficient Large Scale Similarity Search","display_name":"Sparse Semantic Hashing for Efficient Large Scale Similarity Search","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W1972208442","doi":"https://doi.org/10.1145/2661829.2662145","mag":"1972208442"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2662145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","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/A5101774659","display_name":"Qifan Wang","orcid":"https://orcid.org/0000-0002-7570-5756"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qifan Wang","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053959119","display_name":"Bin Shen","orcid":"https://orcid.org/0000-0002-0167-3034"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Shen","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347601","display_name":"Zhiwei Zhang","orcid":"https://orcid.org/0000-0002-4766-6198"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhang","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101718341","display_name":"Luo Si","orcid":"https://orcid.org/0000-0002-3263-234X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luo Si","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1899","last_page":"1902"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9800000190734863,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7852530479431152},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6424072980880737},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6253098249435425},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5449716448783875},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5436813235282898},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.52646404504776},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.48063984513282776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4471738338470459},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4385416805744171},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43099379539489746},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42370718717575073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38330763578414917},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.376406192779541},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3755718469619751},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.13232097029685974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07567963004112244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7852530479431152},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6424072980880737},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6253098249435425},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5449716448783875},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5436813235282898},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.52646404504776},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.48063984513282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4471738338470459},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4385416805744171},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43099379539489746},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42370718717575073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38330763578414917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.376406192779541},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3755718469619751},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.13232097029685974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07567963004112244},{"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:10.1145/2661829.2662145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1305479383","display_name":null,"funder_award_id":"IIS-1017837","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G3331855711","display_name":null,"funder_award_id":"CNS-1012208","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G3486624416","display_name":null,"funder_award_id":"DRL-0822296","funder_id":"https://openalex.org/F4320337409","funder_display_name":"Division of Research on Learning in Formal and Informal Settings"},{"id":"https://openalex.org/G6516900933","display_name":null,"funder_award_id":"IIS-0746830","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G7563404760","display_name":null,"funder_award_id":"CNS-1314688","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G8820090985","display_name":null,"funder_award_id":"ONR-11627465","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"},{"id":"https://openalex.org/F4320337409","display_name":"Division of Research on Learning in Formal and Informal Settings","ror":"https://ror.org/05s7cqk18"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1835419070","https://openalex.org/W1971187657","https://openalex.org/W1974647172","https://openalex.org/W1999529867","https://openalex.org/W2017214807","https://openalex.org/W2031637148","https://openalex.org/W2057550055","https://openalex.org/W2058196845","https://openalex.org/W2074668987","https://openalex.org/W2121881251","https://openalex.org/W2162006472","https://openalex.org/W2293597654","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2100189723","https://openalex.org/W2754607325","https://openalex.org/W1554555624","https://openalex.org/W2949049896","https://openalex.org/W2000284985","https://openalex.org/W1982193706","https://openalex.org/W2901290148","https://openalex.org/W2158169729","https://openalex.org/W2293015666","https://openalex.org/W2120031510"],"abstract_inverted_index":{"Similarity":[0],"search,":[1],"or":[2],"finding":[3],"approximate":[4],"nearest":[5],"neighbors,":[6],"is":[7,98,131],"an":[8],"important":[9],"technique":[10],"in":[11,65,87],"various":[12],"large":[13,34,143],"scale":[14,35,144],"information":[15],"retrieval":[16],"applications":[17],"such":[18],"as":[19],"document":[20,121],"retrieval.":[21],"Many":[22],"recent":[23],"research":[24,153],"demonstrate":[25,146],"that":[26,79],"hashing":[27,48,66,76,91,157],"methods":[28,49],"can":[29],"achieve":[30],"promising":[31],"results":[32],"for":[33,100,134],"similarity":[36,122],"search":[37],"due":[38],"to":[39],"its":[40],"computational":[41],"and":[42],"memory":[43],"efficiency.":[44],"However,":[45],"most":[46],"existing":[47],"ignore":[50],"the":[51,60,81,102,107,116,120,136,147,151],"hidden":[52,82,103],"semantic":[53,75,83,104],"structure":[54,105],"of":[55,85,150],"documents":[56,86,108],"but":[57],"only":[58],"use":[59],"keyword":[61],"features":[62],"(e.g.,":[63],"tf-idf)":[64],"codes":[67],"learning.":[68],"This":[69],"paper":[70],"proposes":[71],"a":[72,95,110],"novel":[73],"sparse":[74,111],"(SpSH)":[77],"approach":[78],"explores":[80],"representation":[84],"learning":[88],"their":[89],"corresponding":[90],"codes.":[92],"In":[93],"particular,":[94],"unified":[96],"framework":[97],"designed":[99],"ensuring":[101],"among":[106],"by":[109],"coding":[112],"model,":[113],"while":[114],"at":[115],"same":[117],"time":[118],"preserving":[119],"via":[123],"graph":[124],"Laplacian.":[125],"An":[126],"iterative":[127],"coordinate":[128],"descent":[129],"procedure":[130],"then":[132],"proposed":[133,152],"solving":[135],"optimization":[137],"problem.":[138],"Extensive":[139],"experiments":[140],"on":[141],"two":[142],"datasets":[145],"superior":[148],"performance":[149],"over":[154],"several":[155],"state-of-the-art":[156],"methods.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
