{"id":"https://openalex.org/W2960695748","doi":"https://doi.org/10.1109/access.2019.2927329","title":"DSPF: A Digital Signal Processing Based Framework for Information Retrieval","display_name":"DSPF: A Digital Signal Processing Based Framework for Information Retrieval","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2960695748","doi":"https://doi.org/10.1109/access.2019.2927329","mag":"2960695748"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2927329","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927329","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756235.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756235.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049574871","display_name":"Zhiwei Ying","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhiwei Ying","raw_affiliation_strings":["Information Retrieval and Knowledge Management Research Lab, School of Information Technology, York University, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Retrieval and Knowledge Management Research Lab, School of Information Technology, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000409439","display_name":"Jimmy Xiangji Huang","orcid":"https://orcid.org/0000-0003-1292-1491"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jimmy Xiangji Huang","raw_affiliation_strings":["Information Retrieval and Knowledge Management Research Lab, School of Information Technology, York University, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1292-1491","affiliations":[{"raw_affiliation_string":"Information Retrieval and Knowledge Management Research Lab, School of Information Technology, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770462","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0002-2589-0164"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069215320","display_name":"Fanghong Jian","orcid":"https://orcid.org/0000-0002-2245-3727"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanghong Jian","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039602194","display_name":"Tingting He","orcid":"https://orcid.org/0000-0002-5677-2718"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting He","raw_affiliation_strings":["School of Computer Science, Central China Normal University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1017,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43042499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"110235","last_page":"110248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"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/T11106","display_name":"Data Management and Algorithms","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8070961236953735},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6553243398666382},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.639069139957428},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5580301880836487},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5324457883834839},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5105982422828674},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4785224199295044},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46876925230026245},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.46406134963035583},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4637032151222229},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.44209590554237366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4391222298145294},{"id":"https://openalex.org/keywords/divergence-from-randomness-model","display_name":"Divergence-from-randomness model","score":0.43081045150756836},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4171203076839447},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.41275182366371155},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4078206717967987},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.38571470975875854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35125023126602173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11042359471321106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070961236953735},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6553243398666382},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.639069139957428},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5580301880836487},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5324457883834839},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5105982422828674},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4785224199295044},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46876925230026245},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.46406134963035583},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4637032151222229},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.44209590554237366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4391222298145294},{"id":"https://openalex.org/C149189445","wikidata":"https://www.wikidata.org/wiki/Q5283894","display_name":"Divergence-from-randomness model","level":3,"score":0.43081045150756836},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4171203076839447},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.41275182366371155},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4078206717967987},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.38571470975875854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35125023126602173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11042359471321106},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2927329","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927329","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756235.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7ecceee20c504a989651b6d7d90709fe","is_oa":true,"landing_page_url":"https://doaj.org/article/7ecceee20c504a989651b6d7d90709fe","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 110235-110248 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2927329","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927329","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756235.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319918","display_name":"York University","ror":"https://ror.org/05fq50484"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2960695748.pdf","grobid_xml":"https://content.openalex.org/works/W2960695748.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W120524294","https://openalex.org/W1482214997","https://openalex.org/W1485275430","https://openalex.org/W1535749512","https://openalex.org/W1553682320","https://openalex.org/W1602667807","https://openalex.org/W1660390307","https://openalex.org/W1833785989","https://openalex.org/W1917000772","https://openalex.org/W1972594981","https://openalex.org/W1973234918","https://openalex.org/W1985180788","https://openalex.org/W1985471546","https://openalex.org/W1987436126","https://openalex.org/W1994556419","https://openalex.org/W2005704104","https://openalex.org/W2009593660","https://openalex.org/W2014415866","https://openalex.org/W2034707531","https://openalex.org/W2039297031","https://openalex.org/W2042980227","https://openalex.org/W2043909051","https://openalex.org/W2052842594","https://openalex.org/W2062270497","https://openalex.org/W2070740689","https://openalex.org/W2082729696","https://openalex.org/W2085030399","https://openalex.org/W2085938017","https://openalex.org/W2093390569","https://openalex.org/W2095368471","https://openalex.org/W2098162425","https://openalex.org/W2099871636","https://openalex.org/W2111460811","https://openalex.org/W2136542423","https://openalex.org/W2136583886","https://openalex.org/W2139088054","https://openalex.org/W2142769902","https://openalex.org/W2148592218","https://openalex.org/W2153252192","https://openalex.org/W2153479077","https://openalex.org/W2155482025","https://openalex.org/W2165612380","https://openalex.org/W2169213601","https://openalex.org/W2325227998","https://openalex.org/W2579963793","https://openalex.org/W2609595902","https://openalex.org/W2746277985","https://openalex.org/W2786868236","https://openalex.org/W2789391489","https://openalex.org/W2903778898","https://openalex.org/W2912605186","https://openalex.org/W2919866619","https://openalex.org/W2951920181","https://openalex.org/W2962692592","https://openalex.org/W4206765718","https://openalex.org/W4211080241","https://openalex.org/W4213221013","https://openalex.org/W4251326898","https://openalex.org/W4252060112","https://openalex.org/W4252076394","https://openalex.org/W6628905179","https://openalex.org/W6639922933"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"Recently,":[0],"researchers":[1],"mainly":[2],"focus":[3],"on":[4,178],"three":[5],"categories":[6],"of":[7,12,72,123,155,162,170,198],"models":[8,32,191],"in":[9,140,186,196],"the":[10,67,70,73,89,99,102,125,128,137,141,153,156,168,193],"field":[11,71],"Information":[13],"Retrieval":[14],"(IR),":[15],"namely":[16],"vector-space":[17],"models,":[18,20,81,98,173],"probabilistic":[19,96],"and":[21,75,85,101,149],"statistical":[22],"language":[23],"models.":[24,39,165],"The":[25,182],"existing":[26],"studies":[27],"have":[28,51],"always":[29],"developed":[30],"IR":[31,49,63,80,97],"through":[33],"refining":[34],"or":[35],"combining":[36],"these":[37],"traditional":[38],"However,":[40],"some":[41],"new":[42,61],"frameworks":[43],"(e.g.,":[44],"digital":[45],"signal":[46],"processing":[47],"(DSP)-based":[48],"framework)":[50],"not":[52],"been":[53],"well-developed.":[54],"In":[55,107],"our":[56,163,171,189],"research,":[57],"we":[58,110,134,174],"propose":[59],"a":[60,116],"DSP-based":[62,79],"Framework":[64],"(DSPF)":[65],"introducing":[66],"theories":[68],"from":[69,93,127],"DSP":[74],"present":[76],"two":[77,94],"corresponding":[78],"denoted":[82],"as":[83,115],"DSPF-BM25":[84],"DSPF-DLM,":[86],"which":[87],"incorporate":[88],"term":[90,114],"weighting":[91],"schemes":[92],"well-performed":[95],"BM25,":[100],"Dirichlet":[103],"Language":[104],"Model":[105],"(DLM).":[106],"particular,":[108],"first,":[109],"consider":[111],"each":[112],"query":[113,138],"spectrum":[117],"with":[118],"Gaussian":[119],"form.":[120],"Second,":[121],"instead":[122],"transforming":[124],"signals":[126],"time":[129],"domain":[130],"to":[131,151],"frequency":[132,142],"domain,":[133],"directly":[135],"represent":[136],"terms":[139,197],"domain.":[143],"It":[144],"is":[145],"much":[146],"more":[147],"controllable":[148],"precise":[150],"adjust":[152],"values":[154],"parameters":[157],"for":[158],"getting":[159],"better":[160],"performance":[161],"proposed":[164,172,190],"To":[166],"testify":[167],"effectiveness":[169],"conduct":[175],"extensive":[176],"experiments":[177],"seven":[179],"standard":[180],"datasets.":[181],"results":[183],"show":[184],"that":[185],"most":[187],"cases":[188],"outperform":[192],"strong":[194],"baselines":[195],"MAP.":[199]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}