{"id":"https://openalex.org/W2087972949","doi":"https://doi.org/10.1145/1871437.1871696","title":"PTM","display_name":"PTM","publication_year":2010,"publication_date":"2010-10-26","ids":{"openalex":"https://openalex.org/W2087972949","doi":"https://doi.org/10.1145/1871437.1871696","mag":"2087972949"},"language":"en","primary_location":{"id":"doi:10.1145/1871437.1871696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","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/A5100461301","display_name":"Duo Zhang","orcid":"https://orcid.org/0000-0002-5663-6900"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duo Zhang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084279065","display_name":"Jimeng Sun","orcid":"https://orcid.org/0000-0003-1512-6426"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jimeng Sun","raw_affiliation_strings":["IBM T.J. Watson Research Center, Watson, NY, USA","IBM T.J. Watson Research Center, Watson, NY, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, Watson, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T.J. Watson Research Center, Watson, NY, USA#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028518494","display_name":"ChengXiang Zhai","orcid":"https://orcid.org/0000-0002-6434-3702"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ChengXiang Zhai","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108793690","display_name":"Abhijit Bose","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhijit Bose","raw_affiliation_strings":["IBM T.J. Watson Research Centern, Watson, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Centern, Watson, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024234032","display_name":"Nikos Anerousis","orcid":"https://orcid.org/0000-0001-9993-9699"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikos Anerousis","raw_affiliation_strings":["IBM T.J. Watson Research Centern, Watson, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Centern, Watson, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8174,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72191422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1653","last_page":"1656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9980999827384949,"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/T13083","display_name":"Advanced Text Analysis Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8254905939102173},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6667072176933289},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6141937971115112},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5815033912658691},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5272311568260193},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.525187611579895},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.521741509437561},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46422359347343445},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3452147841453552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2649829089641571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8254905939102173},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6667072176933289},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6141937971115112},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5815033912658691},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5272311568260193},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.525187611579895},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.521741509437561},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46422359347343445},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3452147841453552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2649829089641571},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871437.1871696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1964079213","https://openalex.org/W1964348731","https://openalex.org/W2009761865","https://openalex.org/W2027113570","https://openalex.org/W2033593667","https://openalex.org/W2066180141","https://openalex.org/W2068905009","https://openalex.org/W2109154616","https://openalex.org/W2134731454","https://openalex.org/W2147308966","https://openalex.org/W2165636119","https://openalex.org/W2431106835","https://openalex.org/W2593172760","https://openalex.org/W3149154678","https://openalex.org/W4243333943","https://openalex.org/W6734033041"],"related_works":["https://openalex.org/W2349784553","https://openalex.org/W3022596247","https://openalex.org/W2601444686","https://openalex.org/W4307058054","https://openalex.org/W2943623134","https://openalex.org/W3200230513","https://openalex.org/W2494523064","https://openalex.org/W4292238148","https://openalex.org/W4323660495","https://openalex.org/W2368237856"],"abstract_inverted_index":{"Many":[0],"applications":[1],"generate":[2],"a":[3,42,62,73,155],"large":[4],"volume":[5],"of":[6,15,18,36,65,97,104],"parallel":[7,11,86,122],"document":[8,12,87,123],"collections.":[9],"A":[10],"collection":[13,124],"consists":[14],"two":[16],"sets":[17,96],"documents":[19,22,98],"where":[20],"the":[21,102,112,116],"in":[23,41,94,106,111,125],"each":[24,28],"set":[25,108],"correspond":[26],"to":[27,59,84,89,109],"other":[29],"and":[30,38,143,151],"form":[31],"semantic":[32],"pairs":[33,35],"(e.g.,":[34],"problem":[37],"solution":[39],"descriptions":[40],"help-desk":[43],"setting).":[44],"Although":[45],"much":[46],"work":[47,56],"has":[48,57],"been":[49],"done":[50],"on":[51,119],"text":[52,66,149],"mining,":[53],"little":[54],"previous":[55],"attempted":[58],"mine":[60,85],"such":[61],"novel":[63],"kind":[64],"data.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"propose":[72],"new":[74],"probabilistic":[75],"topic":[76],"model,":[77,83],"called":[78],"Probabilistic":[79],"Topic":[80],"Mapping":[81],"(PTM)":[82],"collections":[88],"simultaneously":[90],"discover":[91,135],"latent":[92],"topics":[93,105],"both":[95],"as":[99,101,138,140],"well":[100,139],"mapping":[103],"one":[107,120],"those":[110],"other.":[113],"We":[114,129],"evaluate":[115],"PTM":[117,132],"model":[118],"real":[121],"IT":[126],"service":[127],"domain.":[128],"show":[130],"that":[131],"can":[133],"effectively":[134],"meaningful":[136],"topics,":[137],"their":[141],"mappings,":[142],"it's":[144],"also":[145],"useful":[146],"for":[147],"improving":[148],"matching":[150],"retrieval":[152],"when":[153],"there's":[154],"vocabulary":[156],"gap.":[157]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}