{"id":"https://openalex.org/W3123557188","doi":"https://doi.org/10.1109/globecom42002.2020.9322197","title":"Meta-Learned User Preference for Topic Participation Prediction","display_name":"Meta-Learned User Preference for Topic Participation Prediction","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3123557188","doi":"https://doi.org/10.1109/globecom42002.2020.9322197","mag":"3123557188"},"language":"en","primary_location":{"id":"doi:10.1109/globecom42002.2020.9322197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","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/A5100403505","display_name":"Fan Zhou","orcid":"https://orcid.org/0000-0002-8038-8150"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001931041","display_name":"Xiuxiu Qi","orcid":"https://orcid.org/0000-0002-2642-9329"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuxiu Qi","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034170705","display_name":"Xovee Xu","orcid":"https://orcid.org/0000-0001-6415-7558"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xovee Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329225","display_name":"Jiahao Wang","orcid":"https://orcid.org/0009-0001-2008-5051"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034789908","display_name":"Ting Zhong","orcid":"https://orcid.org/0000-0002-8163-3146"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhong","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086447943","display_name":"Goce Trajcevski","orcid":"https://orcid.org/0000-0002-8839-6278"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Goce Trajcevski","raw_affiliation_strings":["Iowa State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University, USA","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30275861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","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/T11273","display_name":"Advanced Graph Neural Networks","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8673967719078064},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.539043664932251},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5274710059165955},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4976356327533722},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47044840455055237},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4561942219734192},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4367135465145111},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42473655939102173},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.42341357469558716},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41770124435424805},{"id":"https://openalex.org/keywords/social-graph","display_name":"Social graph","score":0.41665709018707275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4086613655090332},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34538233280181885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8673967719078064},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.539043664932251},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5274710059165955},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4976356327533722},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47044840455055237},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4561942219734192},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4367135465145111},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42473655939102173},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.42341357469558716},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41770124435424805},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.41665709018707275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4086613655090332},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34538233280181885},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom42002.2020.9322197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5453742210","display_name":null,"funder_award_id":"61602097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6557717728","display_name":null,"funder_award_id":"1646107","funder_id":"https://openalex.org/F4320322435","funder_display_name":"Norsk Sykepleierforbund"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322435","display_name":"Norsk Sykepleierforbund","ror":"https://ror.org/01822d048"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W99485931","https://openalex.org/W1966443646","https://openalex.org/W2048195127","https://openalex.org/W2048508267","https://openalex.org/W2050877003","https://openalex.org/W2094524282","https://openalex.org/W2098697179","https://openalex.org/W2145680191","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2167751203","https://openalex.org/W2242161203","https://openalex.org/W2436732713","https://openalex.org/W2573167395","https://openalex.org/W2602575848","https://openalex.org/W2604763608","https://openalex.org/W2615064252","https://openalex.org/W2736274677","https://openalex.org/W2740062096","https://openalex.org/W2740934577","https://openalex.org/W2753160622","https://openalex.org/W2908505724","https://openalex.org/W2916106175","https://openalex.org/W2962711740","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2963303956","https://openalex.org/W2963858333","https://openalex.org/W2964015378","https://openalex.org/W2964124573","https://openalex.org/W3104097132","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6674832729","https://openalex.org/W6682691769","https://openalex.org/W6690230747","https://openalex.org/W6717939775","https://openalex.org/W6726873649","https://openalex.org/W6732188020","https://openalex.org/W6738964360","https://openalex.org/W6743661861","https://openalex.org/W6745537798","https://openalex.org/W6754929296","https://openalex.org/W6755365793","https://openalex.org/W6760001035"],"related_works":["https://openalex.org/W1657011257","https://openalex.org/W1983063916","https://openalex.org/W4362644772","https://openalex.org/W2158052187","https://openalex.org/W2948091038","https://openalex.org/W2116533290","https://openalex.org/W2034279876","https://openalex.org/W2132828661","https://openalex.org/W3004249040","https://openalex.org/W2167351964"],"abstract_inverted_index":{"Predicting":[0],"the":[1,45,51,75,99,108,117,136,142,146,163,178,181,205,237,246],"potential":[2,147],"user":[3,36,54,164,168],"interest":[4,46,165,179],"on":[5,27,34,44,155,207,228],"topics":[6,52,73,143,148],"in":[7,83,197],"online":[8],"social":[9,182,234],"networks":[10],"is":[11,153],"important":[12],"for":[13,107,134,149],"many":[14],"practical":[15],"applications":[16],"such":[17,28],"as":[18],"advertising,":[19],"recommendation":[20],"and":[21,72,74,101,144,175,214,236],"malicious":[22],"account":[23],"identification.":[24],"Previous":[25],"methods":[26,61],"topic":[29,208],"prediction":[30,105,195,209],"problem":[31],"mainly":[32],"focus":[33],"learning":[35,130],"preference":[37,138],"from":[38,171,180,232],"historical":[39,172],"posting":[40,169,173],"content,":[41],"and/or":[42,114],"rely":[43],"of":[47,67,95,139,184,193],"friends":[48,183],"to":[49,63,97,161,217],"infer":[50],"a":[53,92,125,156,185,190,198,220],"may":[55,81],"be":[56],"interested":[57],"in.":[58],"However,":[59],"these":[60,121],"fail":[62],"take":[64],"full":[65],"advantage":[66],"high-order":[68],"interactions":[69],"between":[70],"users":[71,109,140,218],"implicit":[76],"relations":[77],"among":[78],"users,":[79],"which":[80,201],"result":[82],"limited":[84],"performance.":[85],"In":[86],"addition,":[87],"existing":[88],"approaches":[89],"usually":[90],"require":[91],"large":[93],"amount":[94],"samples":[96],"train":[98],"model":[100,196,227],"therefore":[102],"have":[103,111],"poor":[104],"performance":[106,206],"who":[110],"few":[112,221],"content":[113,174],"rarely":[115],"follow":[116],"topics.":[118],"To":[119],"overcome":[120],"limitations,":[122],"we":[123],"present":[124],"novel":[126],"method":[127],"MetaTP":[128,152,188,226],"(Meta":[129],"based":[131],"Topic":[132],"Prediction)":[133],"exploiting":[135],"complex":[137],"over":[141],"identify":[145],"cold-start":[150],"users.":[151],"built":[154],"fast":[157],"graph":[158],"convolutional":[159],"network":[160],"estimate":[162],"through":[166],"extracting":[167],"behavior":[170],"recursively":[176],"aggregating":[177],"user.":[186],"Moreover,":[187],"introduces":[189],"new":[191],"way":[192],"training":[194],"meta-learning":[199],"manner,":[200],"not":[202],"only":[203],"improves":[204],"but":[210],"also":[211],"can":[212],"effectively":[213],"efficiently":[215],"adapt":[216],"with":[219],"records.":[222],"We":[223],"validate":[224],"our":[225,242],"real-world":[229],"datasets":[230],"crawled":[231],"popular":[233],"platforms":[235],"empirical":[238],"results":[239],"show":[240],"that":[241],"approach":[243],"significantly":[244],"outperforms":[245],"state-of-the-art":[247],"baselines.":[248]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
