{"id":"https://openalex.org/W2507254902","doi":"https://doi.org/10.1145/2956234","title":"TopPRF","display_name":"TopPRF","publication_year":2016,"publication_date":"2016-08-29","ids":{"openalex":"https://openalex.org/W2507254902","doi":"https://doi.org/10.1145/2956234","mag":"2507254902"},"language":"en","primary_location":{"id":"doi:10.1145/2956234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2956234","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","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/A5030516832","display_name":"Jun Miao","orcid":"https://orcid.org/0000-0002-6924-0737"},"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":true,"raw_author_name":"Jun Miao","raw_affiliation_strings":["Information Retrieval &amp; Knowledge Management Research Lab, York University, Canada"],"affiliations":[{"raw_affiliation_string":"Information Retrieval &amp; Knowledge Management Research Lab, York University, 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 &amp; Knowledge Management Research Lab, York University, Canada"],"affiliations":[{"raw_affiliation_string":"Information Retrieval &amp; Knowledge Management Research Lab, York University, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101173099","display_name":"Jiashu Zhao","orcid":"https://orcid.org/0009-0000-7974-0156"},"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":"Jiashu Zhao","raw_affiliation_strings":["Information Retrieval &amp; Knowledge Management Research Lab, York University, Canada"],"affiliations":[{"raw_affiliation_string":"Information Retrieval &amp; Knowledge Management Research Lab, York University, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030516832"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":11.2791,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.98277504,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"34","issue":"4","first_page":"1","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9979000091552734,"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/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"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":0.8718451261520386},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.7912498712539673},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7193419933319092},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7029127478599548},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5107970237731934},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4840754568576813},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.48005375266075134},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4530564844608307},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4514245092868805},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4291115999221802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4006790518760681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2279951274394989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8718451261520386},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.7912498712539673},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7193419933319092},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7029127478599548},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5107970237731934},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4840754568576813},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.48005375266075134},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4530564844608307},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4514245092868805},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4291115999221802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4006790518760681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2279951274394989},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2956234","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2956234","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W29350917","https://openalex.org/W1482214997","https://openalex.org/W1539587635","https://openalex.org/W1550107969","https://openalex.org/W1577252314","https://openalex.org/W1603246929","https://openalex.org/W1842656685","https://openalex.org/W1880262756","https://openalex.org/W1908596036","https://openalex.org/W1966093341","https://openalex.org/W1972594981","https://openalex.org/W1973063178","https://openalex.org/W1981131819","https://openalex.org/W1985180788","https://openalex.org/W2001082470","https://openalex.org/W2002306339","https://openalex.org/W2014415866","https://openalex.org/W2020999234","https://openalex.org/W2030868605","https://openalex.org/W2034117506","https://openalex.org/W2034707531","https://openalex.org/W2042980227","https://openalex.org/W2049653588","https://openalex.org/W2052842594","https://openalex.org/W2060724430","https://openalex.org/W2060816264","https://openalex.org/W2065883328","https://openalex.org/W2066451131","https://openalex.org/W2068098316","https://openalex.org/W2076039929","https://openalex.org/W2076683968","https://openalex.org/W2090805977","https://openalex.org/W2095399741","https://openalex.org/W2098162425","https://openalex.org/W2100866419","https://openalex.org/W2104049510","https://openalex.org/W2105400363","https://openalex.org/W2106490775","https://openalex.org/W2107743791","https://openalex.org/W2109910628","https://openalex.org/W2113855231","https://openalex.org/W2129319055","https://openalex.org/W2129891468","https://openalex.org/W2132314908","https://openalex.org/W2132827946","https://openalex.org/W2135790056","https://openalex.org/W2136542423","https://openalex.org/W2142769902","https://openalex.org/W2143930661","https://openalex.org/W2146341620","https://openalex.org/W2155188720","https://openalex.org/W2155482025","https://openalex.org/W2158266063","https://openalex.org/W2159859920","https://openalex.org/W2162967415","https://openalex.org/W2164547069","https://openalex.org/W2165612380","https://openalex.org/W2168859760","https://openalex.org/W2169213601","https://openalex.org/W2238728730","https://openalex.org/W2470694366","https://openalex.org/W2543301303","https://openalex.org/W2915633464","https://openalex.org/W4233135949","https://openalex.org/W4240913316","https://openalex.org/W4246858749","https://openalex.org/W4252076394","https://openalex.org/W6683603713"],"related_works":["https://openalex.org/W1971071004","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W1921936017","https://openalex.org/W2078482661","https://openalex.org/W1968222678","https://openalex.org/W2460037195","https://openalex.org/W2134013435"],"abstract_inverted_index":{"Traditional":[0],"pseudo":[1,240],"relevance":[2,241],"feedback":[3,9,23,47,77,87,115,262,269],"(PRF)":[4],"models":[5,312],"choose":[6],"top":[7],"k":[8,20],"documents":[10,17,33,55,59,70,88,270,317],"for":[11,34,76,150,203,328],"query":[12],"expansion":[13],"and":[14,99,137,159,206,214,226,231,257,294,309,323,337],"treat":[15],"those":[16],"equally.":[18],"When":[19,260],"is":[21,41,89,117,143,147,176,250],"determined,":[22],"terms":[24,50,67,265],"are":[25,132,185,313,339],"selected":[26],"without":[27],"considering":[28],"the":[29,37,44,62,84,103,125,139,152,180,200,289,300],"reliability":[30,85],"of":[31,39,46,86,141,182,197,291,315],"these":[32,53,69],"relevance.":[35],"Because":[36],"performance":[38],"PRF":[40],"sensitive":[42],"to":[43,82,110,118,123,134,187,251,341],"selection":[45],"terms,":[48,263],"noisy":[49],"imported":[51],"from":[52,172],"irrelevant":[54],"or":[56],"partially":[57],"relevant":[58,170,253],"will":[60],"harm":[61],"final":[63],"results":[64,276,298],"extensively.":[65],"Intuitively,":[66],"in":[68,102,266],"should":[71,271],"be":[72,119,135,252],"considered":[73],"less":[74],"important":[75],"term":[78,256,320],"selection.":[79],"Nonetheless,":[80],"how":[81,112,207,246],"measure":[83],"a":[90,114,194,221,248,325],"difficult":[91,178],"problem.":[92],"Recently,":[93],"topic":[94,142,201,204],"modeling":[95,205],"has":[96],"become":[97],"more":[98,100,267],"popular":[101],"information":[104,127,155,171,238,347],"retrieval":[105],"(IR)":[106],"area.":[107],"In":[108,189],"order":[109],"identify":[111],"reliable":[113,247,268],"document":[116,249],"relevant,":[120],"we":[121,192,219],"attempt":[122],"adapt":[124],"topical":[126,154,217,258,346],"into":[128,157,239],"PRF.":[129],"However,":[130],"topics":[131,184,210],"hard":[133,186],"quantified":[136],"therefore":[138],"identification":[140],"usually":[144],"fuzzy.":[145],"It":[146],"very":[148],"challenging":[149],"integrating":[151,234],"obtained":[153],"effectively":[156,213],"IR":[158,332],"other":[160,343],"text-processing-related":[161],"areas.":[162],"Current":[163],"research":[164],"work":[165],"mainly":[166],"focuses":[167],"on":[168,277],"mining":[169],"particular":[173],"topics.":[174],"This":[175],"extremely":[177],"when":[179],"boundaries":[181],"different":[183],"define.":[188],"this":[190,198],"article,":[191],"investigate":[193],"key":[195],"factor":[196],"problem,":[199],"number":[202],"it":[208],"makes":[209],"\u201cfuzzy.\u201d":[211],"To":[212],"efficiently":[215],"apply":[216,345],"information,":[218],"propose":[220],"new":[222],"probabilistic":[223,306],"framework,":[224,307],"\u201cTopPRF,\u201d":[225],"three":[227,310],"models,":[228],"TS-COS,":[229],"TS-EU,":[230],"TS-Entropy,":[232],"via":[233],"\u201cTopic":[235],"Space\u201d":[236],"(TS)":[237],"feedback.":[242],"These":[243],"methods":[244,285],"discover":[245],"through":[254],"both":[255],"information.":[259],"selecting":[261],"candidate":[264],"obtain":[272,295],"extra":[273],"weights.":[274],"Experimental":[275],"various":[278],"public":[279],"collections":[280],"justify":[281],"that":[282],"our":[283],"proposed":[284,305],"can":[286],"significantly":[287],"reduce":[288],"influence":[290],"\u201cfuzzy":[292],"topics\u201d":[293],"stable,":[296],"good":[297],"over":[299],"strong":[301],"baseline":[302],"models.":[303],"Our":[304],"TopPRF,":[308],"topic-space-based":[311,331],"capable":[314],"searching":[316],"beyond":[318],"traditional":[319],"matching":[321],"only":[322],"provide":[324],"promising":[326],"avenue":[327],"constructing":[329],"better":[330],"systems.":[333],"Moreover,":[334],"in-depth":[335],"discussions":[336],"conclusions":[338],"made":[340],"help":[342],"researchers":[344],"effectively.":[348]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-09-16T00:00:00"}
