{"id":"https://openalex.org/W2561605715","doi":"https://doi.org/10.1145/2994608","title":"A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval","display_name":"A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval","publication_year":2017,"publication_date":"2017-01-12","ids":{"openalex":"https://openalex.org/W2561605715","doi":"https://doi.org/10.1145/2994608","mag":"2561605715"},"language":"en","primary_location":{"id":"doi:10.1145/2994608","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2994608","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","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/A5100364209","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0003-0228-9330"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0228-9330","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038683888","display_name":"Qian Yu","orcid":"https://orcid.org/0000-0003-3726-1098"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Yu","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781300","display_name":"Yuexian Hou","orcid":"https://orcid.org/0000-0002-3238-493X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexian Hou","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050532724","display_name":"Dawei Song","orcid":"https://orcid.org/0000-0002-8660-3608"},"institutions":[{"id":"https://openalex.org/I204136569","display_name":"The Open University","ror":"https://ror.org/05mzfcs16","country_code":"GB","type":"education","lineage":["https://openalex.org/I204136569"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dawei Song","raw_affiliation_strings":["Tianjin University and The Open University, Milton Keynes, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University and The Open University, Milton Keynes, United Kingdom","institution_ids":["https://openalex.org/I204136569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003817752","display_name":"Jingfei Li","orcid":"https://orcid.org/0000-0001-5931-9866"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfei Li","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380066","display_name":"Bin Hu","orcid":"https://orcid.org/0000-0003-3514-5413"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Hu","raw_affiliation_strings":["Lanzhou University, Lanzhou, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.992,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81380146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":"3","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9972000122070312,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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":0.8607785701751709},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.7790634036064148},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.718468427658081},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5253669023513794},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.46811097860336304},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.448818564414978},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4419611096382141},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4386010766029358},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35050520300865173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3410610854625702},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.13315144181251526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8607785701751709},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.7790634036064148},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.718468427658081},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5253669023513794},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.46811097860336304},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.448818564414978},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4419611096382141},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4386010766029358},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35050520300865173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3410610854625702},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.13315144181251526},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2994608","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2994608","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:oro.open.ac.uk:47604","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196284","display_name":"Open Research Online - ORO (The Open University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204136569","host_organization_name":"The Open University","host_organization_lineage":["https://openalex.org/I204136569"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"PeerReviewed"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/190308","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/190308","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/397989","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/397989","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article (JA)"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5313956475","display_name":null,"funder_award_id":"61402324, 61272265, 61373122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1494864219","https://openalex.org/W1530232915","https://openalex.org/W1829503162","https://openalex.org/W1964348731","https://openalex.org/W1978800831","https://openalex.org/W1980730196","https://openalex.org/W1990159582","https://openalex.org/W1992719695","https://openalex.org/W2008931716","https://openalex.org/W2028417414","https://openalex.org/W2034707531","https://openalex.org/W2035798593","https://openalex.org/W2048476252","https://openalex.org/W2052088591","https://openalex.org/W2053724458","https://openalex.org/W2055052256","https://openalex.org/W2068905009","https://openalex.org/W2069564398","https://openalex.org/W2077066542","https://openalex.org/W2089082212","https://openalex.org/W2097443371","https://openalex.org/W2099213975","https://openalex.org/W2100438118","https://openalex.org/W2102306213","https://openalex.org/W2112247328","https://openalex.org/W2113952909","https://openalex.org/W2115584760","https://openalex.org/W2117473841","https://openalex.org/W2123937625","https://openalex.org/W2129281431","https://openalex.org/W2132706284","https://openalex.org/W2135500808","https://openalex.org/W2136542423","https://openalex.org/W2142769902","https://openalex.org/W2150494128","https://openalex.org/W2154724067","https://openalex.org/W2158947112","https://openalex.org/W2164547069","https://openalex.org/W2169213601","https://openalex.org/W2247275455","https://openalex.org/W2340596253","https://openalex.org/W2768581363","https://openalex.org/W3004721394","https://openalex.org/W4205324931","https://openalex.org/W4230664758","https://openalex.org/W4236706032","https://openalex.org/W4240913316","https://openalex.org/W4243333943","https://openalex.org/W4246858749"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W2001985945","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W1971071004","https://openalex.org/W1973132420","https://openalex.org/W2460037195","https://openalex.org/W2142731558","https://openalex.org/W2077213532","https://openalex.org/W2134013435"],"abstract_inverted_index":{"In":[0,210,304],"many":[1],"research":[2],"and":[3,10,35,41,115,230],"application":[4,70],"areas,":[5],"such":[6],"as":[7],"information":[8],"retrieval":[9,145],"machine":[11],"learning,":[12],"we":[13,43,151,213,271,306],"often":[14,110,128],"encounter":[15],"dealing":[16],"with":[17,187,359],"a":[18,78,84,90,111,124,129,133,140,154,169,180,215,226,273,294],"probability":[19],"distribution":[20,26,59,166,172,246,255,262],"that":[21,27,38,42],"is":[22,28,39,51,66,77,109,127,268],"mixed":[23],"by":[24,104,167,315],"one":[25,202],"relevant":[29,114],"to":[30,45,55,82,139,161,242,266,277,293,341],"our":[31,354],"task":[32],"in":[33,71,96,183,198,233,240,298,309,339,357],"hand":[34],"the":[36,57,61,69,98,119,144,163,174,199,206,219,234,244,252,257,264,279,282,299,318,344,351],"other":[37],"irrelevant":[40,58,116,261,320],"want":[44],"get":[46],"rid":[47],"of.":[48],"Thus,":[49],"it":[50,178,193],"an":[52,184],"essential":[53],"problem":[54],"separate":[56],"from":[60,173,222,251],"mixture":[62,112,130,175],"distribution.":[63,284],"This":[64,285],"article":[65],"focused":[67],"on":[68,89,143,335],"Information":[72],"Retrieval,":[73],"where":[74,201],"relevance":[75,99,135,165,254,283],"feedback":[76,93,100,191,208,237],"widely":[79],"used":[80],"technique":[81],"build":[83],"refined":[85],"query":[86,121],"model":[87,122],"based":[88,334],"set":[91],"of":[92,113,218,247,259,302,353],"documents.":[94,117],"However,":[95],"practice,":[97],"set,":[101],"even":[102],"provided":[103],"users":[105],"explicitly":[106],"or":[107],"implicitly,":[108],"Consequently,":[118],"resultant":[120],"(typically":[123],"term":[125,136],"distribution)":[126],"rather":[131],"than":[132],"true":[134,164,253],"distribution,":[137],"leading":[138],"negative":[141],"impact":[142],"performance.":[146],"To":[147],"tackle":[148],"this":[149,211],"problem,":[150],"recently":[152],"proposed":[153,345,355],"Distribution":[155],"Separation":[156],"Method":[157],"(DSM),":[158],"which":[159],"aims":[160],"approximate":[162],"separating":[168],"seed":[170,260,319],"irrelevance":[171,190,207,236,313],"one.":[176],"While":[177],"achieved":[179],"promising":[181],"performance":[182],"empirical":[185],"evaluation":[186],"simulated":[188],"explicit":[189],"data,":[192],"has":[194],"not":[195,269],"been":[196],"deployed":[197],"scenario":[200],"should":[203],"automatically":[204,316],"obtain":[205],"data.":[209],"article,":[212],"propose":[214,272],"substantial":[216],"extension":[217],"basic":[220],"DSM":[221,232,248,274,308],"two":[223],"perspectives:":[224],"developing":[225],"further":[227],"regularization":[228,275,286,295],"framework":[229,276,287],"deploying":[231],"automatic":[235,310],"scenario.":[238],"Specifically,":[239],"order":[241,340],"avoid":[243],"output":[245],"drifting":[249],"away":[250],"when":[256],"quality":[258],"(as":[263],"input":[265],"DSM)":[267],"guaranteed,":[270],"constrain":[278],"estimation":[280],"for":[281],"includes":[288],"three":[289,323],"algorithms,":[290],"each":[291],"corresponding":[292],"strategy":[296],"incorporated":[297],"objective":[300],"function":[301],"DSM.":[303],"addition,":[305],"exploit":[307],"(i.e.,":[311],"pseudo)":[312],"feedback,":[314],"detecting":[317],"documents":[321],"via":[322],"different":[324],"document":[325],"reranking":[326],"methods.":[327,346],"We":[328],"have":[329],"carried":[330],"out":[331],"extensive":[332],"experiments":[333],"various":[336,360],"TREC":[337],"datasets,":[338],"systematically":[342],"evaluate":[343],"The":[347],"experimental":[348],"results":[349],"demonstrate":[350],"effectiveness":[352],"approaches":[356],"comparison":[358],"strong":[361],"baselines.":[362]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
