{"id":"https://openalex.org/W2204517102","doi":"https://doi.org/10.1145/2710021","title":"Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization","display_name":"Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization","publication_year":2015,"publication_date":"2015-07-27","ids":{"openalex":"https://openalex.org/W2204517102","doi":"https://doi.org/10.1145/2710021","mag":"2204517102"},"language":"en","primary_location":{"id":"doi:10.1145/2710021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2710021","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","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/A5100403969","display_name":"Hua Wang","orcid":"https://orcid.org/0000-0002-8465-0996"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hua Wang","raw_affiliation_strings":["Colorado School of Mines"],"affiliations":[{"raw_affiliation_string":"Colorado School of Mines","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060016795","display_name":"Heng Huang","orcid":"https://orcid.org/0000-0002-3483-8333"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Huang","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100403969"],"corresponding_institution_ids":["https://openalex.org/I167576493"],"apc_list":null,"apc_paid":null,"fwci":5.3411,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.95833135,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"1","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9954000115394592,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.964900016784668,"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":0.8003023862838745},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.699163556098938},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6052072048187256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44498682022094727},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42457181215286255},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4040212035179138},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3863462209701538},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34272491931915283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12249389290809631}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003023862838745},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.699163556098938},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6052072048187256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44498682022094727},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42457181215286255},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4040212035179138},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3863462209701538},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34272491931915283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12249389290809631},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2710021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2710021","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.707.3009","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.707.3009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://inside.mines.edu/%7Ehuawang/Papers/Journal/2015tkdd_trans_lang.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W49942714","https://openalex.org/W183401690","https://openalex.org/W190487508","https://openalex.org/W331119053","https://openalex.org/W1489959797","https://openalex.org/W1527227399","https://openalex.org/W1546288557","https://openalex.org/W1562683439","https://openalex.org/W1575173685","https://openalex.org/W1902027874","https://openalex.org/W1994966918","https://openalex.org/W1998894210","https://openalex.org/W2030055826","https://openalex.org/W2030103537","https://openalex.org/W2030848960","https://openalex.org/W2043228833","https://openalex.org/W2043545458","https://openalex.org/W2058240487","https://openalex.org/W2064885744","https://openalex.org/W2068599126","https://openalex.org/W2071018795","https://openalex.org/W2099242680","https://openalex.org/W2139850885","https://openalex.org/W2148861942","https://openalex.org/W2158108973","https://openalex.org/W2165698076","https://openalex.org/W2167660864","https://openalex.org/W2168103112","https://openalex.org/W2171068337","https://openalex.org/W2174302041","https://openalex.org/W2561675875","https://openalex.org/W2978329087","https://openalex.org/W3143596294"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2411679502","https://openalex.org/W2349125667","https://openalex.org/W2513545296","https://openalex.org/W582605872","https://openalex.org/W2144190808","https://openalex.org/W1539448079","https://openalex.org/W2592441986","https://openalex.org/W67510309","https://openalex.org/W3216588747"],"abstract_inverted_index":{"With":[0,151,222],"the":[1,14,66,131,182,194,213,223,244,252,258,270,279,284,308,327],"rapid":[2],"growth":[3,67],"of":[4,13,46,68,72,143,261,272,288,329],"modern":[5],"technologies,":[6],"Internet":[7],"has":[8],"reached":[9],"almost":[10],"every":[11],"corner":[12],"world.":[15],"As":[16],"a":[17,43,89,108,159,315],"result,":[18],"it":[19,88],"becomes":[20],"more":[21,23,303],"and":[22,27,52,136,212,218,283],"important":[24],"to":[25,49,95,146,193,201,241,263,269],"manage":[26],"mine":[28],"information":[29],"contained":[30],"in":[31,34,77,83,121,154,185,197,311],"Web":[32,58,75,105,137,174,189,203,219,319],"pages":[33,59,76,106,190],"different":[35,112,122,207,228],"languages.":[36,150],"Traditional":[37],"supervised":[38],"learning":[39],"methods":[40],"usually":[41,114],"require":[42],"large":[44],"amount":[45],"training":[47,74],"data":[48,321],"obtain":[50],"accurate":[51],"robust":[53],"classification":[54,93,237],"models.":[55],"However,":[56],"labeled":[57,188],"did":[60],"not":[61],"increase":[62],"as":[63,65],"fast":[64],"Internet.":[69],"The":[70],"lack":[71],"sufficient":[73],"many":[78],"languages,":[79,86,196],"especially":[80],"for":[81,91,107,172],"those":[82],"uncommonly":[84],"used":[85],"makes":[87],"challenge":[90],"traditional":[92],"algorithms":[94],"achieve":[96,235],"satisfactory":[97],"performance.":[98],"To":[99],"address":[100],"this,":[101],"we":[102,127,157,199,249,276],"observe":[103,129],"that":[104,130,332],"same":[109],"topic":[110],"from":[111,181],"languages":[113],"share":[115],"some":[116],"common":[117],"semantic":[118],"patterns,":[119],"though":[120],"representation":[123],"forms.":[124],"In":[125,239],"addition,":[126],"also":[128],"associations":[132,214],"between":[133,215,225],"word":[134,209,216],"clusters":[135,217],"page":[138,175,220,320],"classes":[139],"are":[140,191,287,333],"another":[141],"type":[142],"reliable":[144],"carriers":[145],"transfer":[147,230],"knowledge":[148,180,229],"across":[149],"these":[152,226],"recognitions,":[153],"this":[155],"article":[156],"propose":[158],"novel":[160],"joint":[161],"nonnegative":[162],"matrix":[163,295],"trifactorization":[164],"(NMTF)":[165],"based":[166],"Dual":[167],"Knowledge":[168],"Transfer":[169],"(DKT)":[170],"approach":[171,178,233,255,301,310,331],"cross-language":[173,318],"classification.":[176],"Our":[177],"transfers":[179],"auxiliary":[183],"language,":[184],"which":[186,198,297],"abundant":[187],"available,":[192],"target":[195],"want":[200],"classify":[202],"pages,":[204],"through":[205],"two":[206,227],"paths:":[208],"cluster":[210,265,273],"approximation":[211],"classes.":[221],"reinforcement":[224],"paths,":[231],"our":[232,299,330,336],"can":[234,277],"better":[236],"accuracy.":[238],"order":[240],"deal":[242],"with":[243,335],"large-scale":[245],"real":[246,316],"world":[247,317],"data,":[248],"further":[250],"develop":[251],"proposed":[253,280,309],"DKT":[254],"by":[256],"constraining":[257],"factor":[259],"matrices":[260],"NMTF":[262],"be":[264],"indicator":[266,274],"matrices.":[267],"Due":[268],"nature":[271],"matrices,":[275],"decouple":[278],"optimization":[281],"objective":[282],"resulted":[285],"subproblems":[286],"much":[289,293,302],"smaller":[290],"sizes":[291],"involving":[292],"less":[294],"multiplications,":[296],"make":[298],"new":[300],"computationally":[304],"efficient.":[305],"We":[306],"evaluate":[307],"extensive":[312],"experiments":[313],"using":[314],"set.":[322],"Promising":[323],"results":[324],"have":[325],"demonstrated":[326],"effectiveness":[328],"consistent":[334],"theoretical":[337],"analyses.":[338]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}