{"id":"https://openalex.org/W2462672764","doi":"https://doi.org/10.1145/2911451.2914723","title":"Discovering Author Interest Evolution in Topic Modeling","display_name":"Discovering Author Interest Evolution in Topic Modeling","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2462672764","doi":"https://doi.org/10.1145/2911451.2914723","mag":"2462672764"},"language":"en","primary_location":{"id":"doi:10.1145/2911451.2914723","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2914723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th 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/A5083369457","display_name":"Min Yang","orcid":"https://orcid.org/0000-0001-7345-5071"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Min Yang","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014823249","display_name":"Jincheng Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jincheng Mei","raw_affiliation_strings":["The University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"The University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001257726","display_name":"Fei Xu","orcid":"https://orcid.org/0000-0001-8135-1301"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056078823","display_name":"Wenting Tu","orcid":"https://orcid.org/0000-0003-1010-7189"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Wenting Tu","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102869634","display_name":"Ziyu Lu","orcid":"https://orcid.org/0000-0002-4899-1806"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Ziyu Lu","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083369457"],"corresponding_institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":3.4278,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93525606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"801","last_page":"804"},"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9991999864578247,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9926999807357788,"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":0.8309887647628784},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6342705488204956},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.558152973651886},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.5354998111724854},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5334546566009521},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45899632573127747},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4476272463798523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3252241611480713},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.07314714789390564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8309887647628784},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6342705488204956},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.558152973651886},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.5354998111724854},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5334546566009521},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45899632573127747},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4476272463798523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3252241611480713},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.07314714789390564},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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:10.1145/2911451.2914723","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911451.2914723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W143998021","https://openalex.org/W1506806321","https://openalex.org/W1762643624","https://openalex.org/W1880262756","https://openalex.org/W2072644219","https://openalex.org/W2080316042","https://openalex.org/W2109819069","https://openalex.org/W2131744502","https://openalex.org/W2140124448","https://openalex.org/W2153579005","https://openalex.org/W2171343266","https://openalex.org/W2250666945","https://openalex.org/W2604272474","https://openalex.org/W2950133940"],"related_works":["https://openalex.org/W3200230513","https://openalex.org/W2088836968","https://openalex.org/W2369480852","https://openalex.org/W2017063170","https://openalex.org/W2360473631","https://openalex.org/W2769501189","https://openalex.org/W2898732673","https://openalex.org/W2897855253","https://openalex.org/W2226452791","https://openalex.org/W2809651922"],"abstract_inverted_index":{"Discovering":[0],"the":[1,31,43,62,72,76,83],"author's":[2],"interest":[3,25,46],"over":[4],"time":[5],"from":[6,71],"documents":[7],"has":[8],"important":[9],"applications":[10],"in":[11,36],"recommendation":[12],"systems,":[13],"authorship":[14],"identification":[15],"and":[16],"opinion":[17],"extraction.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22],"propose":[23],"an":[24],"drift":[26],"model":[27,40,58,85],"(IDM),":[28],"which":[29],"monitors":[30],"evolution":[32],"of":[33,64,75],"author":[34,45],"interests":[35],"time-stamped":[37],"documents.":[38],"The":[39,78],"further":[41],"uses":[42],"discovered":[44],"information":[47,70],"to":[48,61],"help":[49],"finding":[50],"better":[51,87],"topics.":[52],"Unlike":[53],"traditional":[54],"topic":[55,91],"models,":[56],"our":[57],"is":[59],"sensitive":[60],"ordering":[63],"words,":[65],"thus":[66],"it":[67],"extracts":[68],"more":[69],"semantic":[73],"meaning":[74],"context.":[77],"experiment":[79],"results":[80],"show":[81],"that":[82],"IDM":[84],"learns":[86],"topics":[88],"than":[89],"state-of-the-art":[90],"models.":[92]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
