{"id":"https://openalex.org/W2072982557","doi":"https://doi.org/10.1145/1571941.1572095","title":"A latent topic model for linked documents","display_name":"A latent topic model for linked documents","publication_year":2009,"publication_date":"2009-07-19","ids":{"openalex":"https://openalex.org/W2072982557","doi":"https://doi.org/10.1145/1571941.1572095","mag":"2072982557"},"language":"en","primary_location":{"id":"doi:10.1145/1571941.1572095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1571941.1572095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-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/A5102003367","display_name":"Zhen Guo","orcid":"https://orcid.org/0000-0003-3967-4304"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Guo","raw_affiliation_strings":["State University of New York at Binghamton, Binghamton, NY, USA","State University of New York at Binghamton , Binghamton , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Binghamton, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"State University of New York at Binghamton , Binghamton , NY , USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103861122","display_name":"Shenghuo Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shenghuo Zhu","raw_affiliation_strings":["NEC Laboratories America, Inc., Cupertino, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Inc., Cupertino, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075969864","display_name":"Y\u00fcn Chi","orcid":"https://orcid.org/0000-0002-8441-3974"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Chi","raw_affiliation_strings":["NEC Laboratories America, Inc., Cupertino, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Inc., Cupertino, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036747535","display_name":"Zhongfei Zhang","orcid":"https://orcid.org/0000-0001-5098-2506"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongfei Zhang","raw_affiliation_strings":["State University of New York at Binghamton, Binghamton, NY, USA","State University of New York at Binghamton , Binghamton , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Binghamton, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"State University of New York at Binghamton , Binghamton , NY , USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yihong Gong","raw_affiliation_strings":["NEC Laboratories America, Inc., Cupertino, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Inc., Cupertino, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9827,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95153163,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"720","last_page":"721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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":0.9987999796867371,"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/T10181","display_name":"Natural Language Processing Techniques","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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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":0.8086913824081421},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6639356017112732},{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.648955762386322},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6309434175491333},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6154781579971313},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5768818855285645},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.5753037333488464},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.560938835144043},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5318489074707031},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5159167051315308},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5081048011779785},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48575475811958313},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46597668528556824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45655032992362976},{"id":"https://openalex.org/keywords/document-structure-description","display_name":"Document Structure Description","score":0.4446375370025635},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.4375007748603821},{"id":"https://openalex.org/keywords/boolean-model","display_name":"Boolean model","score":0.41155263781547546},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.18186166882514954},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1442171037197113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08877259492874146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086913824081421},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6639356017112732},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.648955762386322},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6309434175491333},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6154781579971313},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5768818855285645},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.5753037333488464},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.560938835144043},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5318489074707031},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5159167051315308},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5081048011779785},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48575475811958313},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46597668528556824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45655032992362976},{"id":"https://openalex.org/C68699486","wikidata":"https://www.wikidata.org/wiki/Q265904","display_name":"Document Structure Description","level":3,"score":0.4446375370025635},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.4375007748603821},{"id":"https://openalex.org/C67499762","wikidata":"https://www.wikidata.org/wiki/Q4943358","display_name":"Boolean model","level":2,"score":0.41155263781547546},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.18186166882514954},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1442171037197113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08877259492874146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1571941.1572095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1571941.1572095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.323.9147","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.9147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.binghamton.edu/~zguo/paper/256-guo.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1738091461","https://openalex.org/W1880262756","https://openalex.org/W2013029404","https://openalex.org/W2107743791","https://openalex.org/W2108346334","https://openalex.org/W2121947440","https://openalex.org/W2162630660","https://openalex.org/W4233135949","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W4309228610","https://openalex.org/W4248157169","https://openalex.org/W2002320519","https://openalex.org/W3170128756","https://openalex.org/W3002687128","https://openalex.org/W2281717416","https://openalex.org/W4294597112","https://openalex.org/W2948298633","https://openalex.org/W3024994322","https://openalex.org/W3123259583"],"abstract_inverted_index":{"Documents":[0],"in":[1,25],"many":[2],"corpora,":[3],"such":[4],"as":[5,51],"digital":[6],"libraries":[7],"and":[8,13,100,121],"webpages,":[9],"contain":[10],"both":[11],"content":[12],"link":[14],"information.":[15],"To":[16],"explicitly":[17],"consider":[18],"the":[19,43,73,77,86,91,94,102,105,113,117,122],"document":[20,48,68,118],"relations":[21,106],"represented":[22],"by":[23,98],"links,":[24],"this":[26],"paper":[27],"we":[28],"propose":[29],"a":[30,36,46,52,55,67,81],"citation-topic":[31],"(CT)":[32],"model":[33,45,79,96,115],"which":[34,62],"assumes":[35],"probabilistic":[37],"generative":[38,95],"process":[39,83],"for":[40,84],"corpora.":[41],"In":[42],"CT":[44,78,114],"given":[47,74],"is":[49,63,70,109],"modeled":[50],"mixture":[53],"of":[54,57,61,93,104],"set":[56],"topic":[58],"distributions,":[59],"each":[60],"borrowed":[64],"(cited)":[65],"from":[66],"that":[69],"related":[71,87],"to":[72,90],"document.":[75],"Moreover,":[76],"contains":[80],"random":[82],"selecting":[85],"documents":[88,108],"according":[89],"structure":[92],"determined":[97],"links":[99],"therefore,":[101],"transitivity":[103],"among":[107],"captured.":[110],"We":[111],"apply":[112],"on":[116],"clustering":[119],"task":[120],"experimental":[123],"comparisons":[124],"against":[125],"several":[126],"state-of-the-art":[127],"approaches":[128],"demonstrate":[129],"very":[130],"promising":[131],"performances.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}