{"id":"https://openalex.org/W2114141674","doi":"https://doi.org/10.1145/1143844.1143938","title":"Categorization in multiple category systems","display_name":"Categorization in multiple category systems","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2114141674","doi":"https://doi.org/10.1145/1143844.1143938","mag":"2114141674"},"language":"en","primary_location":{"id":"doi:10.1145/1143844.1143938","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143844.1143938","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 international conference on Machine learning - ICML '06","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/A5075357420","display_name":"Jean-Michel Renders","orcid":"https://orcid.org/0000-0002-7516-3707"},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Michel Renders","raw_affiliation_strings":["Xerox Research Centre Europe, Meylan, France","Xerox Research Centre Europe, Meylan, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, France","institution_ids":["https://openalex.org/I33976269"]},{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, France#TAB#","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014352159","display_name":"\u00c9ric Gaussier","orcid":"https://orcid.org/0000-0002-8858-3233"},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Gaussier","raw_affiliation_strings":["Xerox Research Centre Europe, Meylan, France","Xerox Research Centre Europe, Meylan, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, France","institution_ids":["https://openalex.org/I33976269"]},{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, France#TAB#","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065257553","display_name":"Cyril Goutte","orcid":"https://orcid.org/0000-0003-4939-6555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cyril Goutte","raw_affiliation_strings":["Institute for Information Technology, Gatineau, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Information Technology, Gatineau, QC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042722844","display_name":"Fran\u00e7ois Pacull","orcid":null},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Pacull","raw_affiliation_strings":["Xerox Research Centre Europe, Meylan, France","Xerox Research Centre Europe, Meylan, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, France","institution_ids":["https://openalex.org/I33976269"]},{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, France#TAB#","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109475590","display_name":"Gabriela Csurka","orcid":null},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gabriela Csurka","raw_affiliation_strings":["Xerox Research Centre Europe, Meylan, France","Xerox Research Centre Europe, Meylan, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, France","institution_ids":["https://openalex.org/I33976269"]},{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, France#TAB#","institution_ids":["https://openalex.org/I33976269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4656,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82152743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"745","last_page":"752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9979000091552734,"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/categorization","display_name":"Categorization","score":0.8077793121337891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6403690576553345},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4010297358036041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.347927987575531}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.8077793121337891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403690576553345},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4010297358036041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.347927987575531}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1143844.1143938","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143844.1143938","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 international conference on Machine learning - ICML '06","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W280632315","https://openalex.org/W1494021613","https://openalex.org/W1592774159","https://openalex.org/W1618905105","https://openalex.org/W1625255723","https://openalex.org/W2048679005","https://openalex.org/W2118020653","https://openalex.org/W2149684865","https://openalex.org/W2177274842"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W1969219540","https://openalex.org/W3192589309"],"abstract_inverted_index":{"We":[0,108],"explore":[1],"the":[2,29,53,122,138,165],"situation":[3,18,83],"in":[4,77,87,118,181],"which":[5],"documents":[6],"have":[7,35,93],"to":[8,21,66,94,97,120],"be":[9,95,170],"categorized":[10],"into":[11],"more":[12],"than":[13],"one":[14,46,49,101],"category":[15,50,79,106,116,132],"system,":[16],"a":[17,68,73,82,135,150,173],"we":[19,27,61,142,162],"refer":[20],"as":[22,59,172],"multiple-view":[23],"categorization.":[24],"More":[25],"particularly,":[26],"address":[28],"case":[30],"where":[31,90],"two":[32],"different":[33,131],"categorizers":[34,57,127],"already":[36],"been":[37],"built":[38],"based":[39,147],"on":[40,103,111,130,149,158],"non-necessarily":[41],"identical":[42],"training":[43,70],"sets,":[44],"each":[45,100],"labeled":[47],"using":[48],"system.":[51,107],"On":[52],"top":[54],"of":[55,137],"these":[56],"considered":[58],"black-boxes,":[60],"propose":[62],"some":[63],"algorithms":[64],"able":[65],"exploit":[67],"third":[69],"set":[71],"containing":[72],"few":[74],"examples":[75],"annotated":[76],"both":[78],"systems.":[80,133],"Such":[81],"arises":[84],"for":[85],"example":[86],"large":[88],"companies":[89],"incoming":[91],"mails":[92],"routed":[96],"several":[98,144],"departments,":[99],"relying":[102],"its":[104],"own":[105],"focus":[109],"here":[110],"exploiting":[112],"possible":[113,145],"dependencies":[114],"between":[115],"systems":[117],"order":[119],"refine":[121],"categorization":[123,140,151,167,175],"decisions":[124],"made":[125],"by":[126],"trained":[128],"independently":[129],"After":[134],"description":[136],"multiple":[139,174],"problem,":[141],"present":[143],"solutions,":[146],"either":[148],"or":[152],"reweighting":[153],"approach,":[154],"and":[155,177],"compare":[156],"them":[157],"real":[159],"data.":[160],"Lastly,":[161],"show":[163],"how":[164],"multimedia":[166],"problem":[168,176],"can":[169],"cast":[171],"assess":[178],"our":[179],"methods":[180],"this":[182],"framework.":[183]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}