{"id":"https://openalex.org/W4387846310","doi":"https://doi.org/10.1145/3583780.3614987","title":"Neural Personalized Topic Modeling for Mining User Preferences on Social Media","display_name":"Neural Personalized Topic Modeling for Mining User Preferences on Social Media","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846310","doi":"https://doi.org/10.1145/3583780.3614987"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3614987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614987","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 ACM International Conference on Information and Knowledge Management","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/A5036831783","display_name":"Luyang Liu","orcid":"https://orcid.org/0000-0002-9002-3788"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luyang Liu","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056309261","display_name":"Qunyang Lin","orcid":"https://orcid.org/0009-0001-9914-827X"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunyang Lin","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060973879","display_name":"Haonan Tong","orcid":"https://orcid.org/0009-0005-3344-7663"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Tong","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081681623","display_name":"Hongyin Zhu","orcid":"https://orcid.org/0000-0001-5786-7594"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyin Zhu","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078313066","display_name":"Ke Liu","orcid":"https://orcid.org/0009-0002-1184-1844"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liu","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705892","display_name":"Min Wang","orcid":"https://orcid.org/0009-0000-3713-8140"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wang","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031472270","display_name":"Chuang Zhang","orcid":"https://orcid.org/0009-0000-6107-6656"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Zhang","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5036831783"],"corresponding_institution_ids":["https://openalex.org/I4210108204","https://openalex.org/I4210144143"],"apc_list":null,"apc_paid":null,"fwci":0.8698,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79373578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1545","last_page":"1555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9972000122070312,"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":0.9972000122070312,"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":0.9883999824523926,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9789000153541565,"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":0.7979531288146973},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5882817506790161},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.5736846923828125},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5506866574287415},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5449707508087158},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4884166121482849},{"id":"https://openalex.org/keywords/personalized-search","display_name":"Personalized search","score":0.4784553050994873},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45339372754096985},{"id":"https://openalex.org/keywords/user-profile","display_name":"User profile","score":0.4518347680568695},{"id":"https://openalex.org/keywords/user-information","display_name":"User information","score":0.42575377225875854},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4234990179538727},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42260515689849854},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37762853503227234},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.36679261922836304},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3623599410057068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2916831970214844},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.24274727702140808},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.17045199871063232},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1199251115322113},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09665623307228088}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979531288146973},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5882817506790161},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.5736846923828125},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5506866574287415},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5449707508087158},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4884166121482849},{"id":"https://openalex.org/C2776945383","wikidata":"https://www.wikidata.org/wiki/Q7170667","display_name":"Personalized search","level":3,"score":0.4784553050994873},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45339372754096985},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.4518347680568695},{"id":"https://openalex.org/C2777622855","wikidata":"https://www.wikidata.org/wiki/Q7901844","display_name":"User information","level":3,"score":0.42575377225875854},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4234990179538727},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42260515689849854},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37762853503227234},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.36679261922836304},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3623599410057068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2916831970214844},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.24274727702140808},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.17045199871063232},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1199251115322113},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09665623307228088},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3614987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614987","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 ACM International Conference on Information and Knowledge Management","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":22,"referenced_works":["https://openalex.org/W2026653933","https://openalex.org/W2038043464","https://openalex.org/W2166851633","https://openalex.org/W2225156818","https://openalex.org/W2250533720","https://openalex.org/W2250753706","https://openalex.org/W2404506086","https://openalex.org/W2560674852","https://openalex.org/W2606971019","https://openalex.org/W2617868585","https://openalex.org/W2740139069","https://openalex.org/W2747329762","https://openalex.org/W2749627623","https://openalex.org/W2911250003","https://openalex.org/W2941907145","https://openalex.org/W2970641574","https://openalex.org/W3045464143","https://openalex.org/W3091926342","https://openalex.org/W3155457426","https://openalex.org/W4205173927","https://openalex.org/W4290874888","https://openalex.org/W4296397905"],"related_works":["https://openalex.org/W2373502147","https://openalex.org/W2199139639","https://openalex.org/W1569985004","https://openalex.org/W2132546753","https://openalex.org/W3032203256","https://openalex.org/W2390085196","https://openalex.org/W1454716411","https://openalex.org/W2355494699","https://openalex.org/W1978260835","https://openalex.org/W2351455435"],"abstract_inverted_index":{"With":[0],"the":[1,58,121,197,200,247,250],"rapid":[2],"development":[3],"of":[4,57,249],"web":[5],"services,":[6],"social":[7,33,73,228],"media":[8,34,74,229],"has":[9],"been":[10],"a":[11,48,141,154,207],"prevalent":[12,59],"and":[13,21,42,68,81,94,113,149,163,216,232],"readily":[14],"way":[15],"for":[16,44,51,159],"people":[17],"to":[18,127,175,212,224,239],"express":[19],"themselves":[20],"share":[22],"their":[23],"daily":[24],"lives.":[25],"Consequently,":[26],"numerous":[27],"user-generated":[28],"content":[29],"is":[30,47],"accumulated":[31],"on":[32],"platforms.":[35],"These":[36],"data":[37,53,63,75],"usually":[38,104],"contain":[39],"rich":[40],"information":[41,112,187],"knowledge":[43],"users,":[45],"which":[46,124],"viable":[49],"source":[50],"user":[52,62,70,118,150,161,181,190,194,217],"mining.":[54],"As":[55],"one":[56],"techniques":[60],"in":[61,79,167],"mining,":[64],"mining":[65],"personalized":[66,129,147,169],"topics":[67,106,148,215],"discovering":[69],"preferences":[71,119,162,195],"from":[72,108],"attract":[76],"much":[77],"interest":[78],"academic":[80],"industrial":[82],"communities.":[83],"The":[84,243],"emerging":[85],"Neural":[86,137],"Topic":[87,139],"Models(NTMs)":[88],"have":[89],"recently":[90],"shown":[91],"leading":[92],"performance":[93],"scalability":[95],"by":[96],"employing":[97],"neural":[98],"networks.":[99],"However,":[100],"most":[101],"existing":[102],"NTMs":[103],"model":[105,128,223],"simply":[107],"observed":[109],"document":[110,165,173,178],"token":[111],"do":[114],"not":[115],"explicitly":[116],"take":[117],"into":[120],"generative":[122,157,203],"process,":[123,204],"inevitably":[125],"fails":[126],"topics.":[130,170,198],"To":[131],"address":[132],"this":[133],"issue,":[134],"we":[135,205,220],"introduce":[136],"Personalized":[138],"Model(NPTM),":[140],"novel":[142,155],"NTM":[143],"that":[144],"can":[145],"discover":[146],"preferences.":[151,218],"NPTM":[152,184],"introduces":[153],"hybrid":[156,202],"process":[158],"combining":[160],"contextualized":[164,177],"codes":[166],"modeling":[168],"A":[171],"transformer-based":[172],"encoder":[174],"obtain":[176],"codes.":[179],"For":[180],"preference":[182],"modeling,":[183],"regards":[185],"user-related":[186],"as":[188],"trainable":[189],"embeddings,":[191],"further":[192],"determining":[193],"over":[196],"Following":[199],"proposed":[201,251],"present":[206],"module-wise":[208],"asynchronous":[209],"optimization":[210],"strategy":[211],"get":[213],"coherent":[214],"Then,":[219],"apply":[221],"our":[222,241],"two":[225],"challenging":[226],"real-world":[227],"post":[230],"collections":[231],"compare":[233],"them":[234],"against":[235],"several":[236],"baseline":[237],"methods":[238],"verify":[240],"contributions.":[242],"experimental":[244],"results":[245],"demonstrate":[246],"effectiveness":[248],"method.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
