{"id":"https://openalex.org/W3010283557","doi":"https://doi.org/10.1145/3377550","title":"Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale","display_name":"Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale","publication_year":2020,"publication_date":"2020-03-07","ids":{"openalex":"https://openalex.org/W3010283557","doi":"https://doi.org/10.1145/3377550","mag":"3010283557"},"language":"en","primary_location":{"id":"doi:10.1145/3377550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377550","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5037145565","display_name":"Wayne Xin Zhao","orcid":"https://orcid.org/0000-0002-8333-6196"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wayne Xin Zhao","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052347581","display_name":"Yupeng Hou","orcid":"https://orcid.org/0000-0002-0747-8010"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Hou","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636763","display_name":"Junhua Chen","orcid":"https://orcid.org/0000-0002-0947-6879"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhua Chen","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049134847","display_name":"Jonathan J. H. Zhu","orcid":"https://orcid.org/0000-0001-6173-6941"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jonathan J. H. Zhu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008892461","display_name":"Eddy Jing Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Eddy Jing Yin","raw_affiliation_strings":["Microsoft, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082444691","display_name":"Hanting Su","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanting Su","raw_affiliation_strings":["Renmin University of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Renmin University of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1336,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41313768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"38","issue":"2","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9987999796867371,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9984999895095825,"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":0.8878946304321289},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.804436981678009},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6227441430091858},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.61456298828125},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.597808301448822},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5969403386116028},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5517791509628296},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5204151272773743},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5028867125511169},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4801201820373535},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.46353721618652344},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.4438132345676422},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4400126338005066},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3637234568595886},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.361275851726532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25400227308273315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8878946304321289},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.804436981678009},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6227441430091858},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.61456298828125},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.597808301448822},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5969403386116028},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5517791509628296},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5204151272773743},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5028867125511169},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4801201820373535},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.46353721618652344},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.4438132345676422},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4400126338005066},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3637234568595886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.361275851726532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25400227308273315},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/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},{"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:10.1145/3377550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377550","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2935754162","display_name":null,"funder_award_id":"61872369 and 61832017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1964066675","https://openalex.org/W1978577143","https://openalex.org/W1990898021","https://openalex.org/W1992440927","https://openalex.org/W1992595489","https://openalex.org/W2018268077","https://openalex.org/W2023603274","https://openalex.org/W2027186630","https://openalex.org/W2034721576","https://openalex.org/W2046240631","https://openalex.org/W2048579054","https://openalex.org/W2053186076","https://openalex.org/W2065143787","https://openalex.org/W2084804965","https://openalex.org/W2085826953","https://openalex.org/W2089349245","https://openalex.org/W2090041477","https://openalex.org/W2090891622","https://openalex.org/W2092694516","https://openalex.org/W2096738524","https://openalex.org/W2102943624","https://openalex.org/W2103479483","https://openalex.org/W2113376247","https://openalex.org/W2121887197","https://openalex.org/W2127246734","https://openalex.org/W2138621811","https://openalex.org/W2145658888","https://openalex.org/W2148698197","https://openalex.org/W2154851992","https://openalex.org/W2156985047","https://openalex.org/W2158907468","https://openalex.org/W2159359879","https://openalex.org/W2168332560","https://openalex.org/W2187089797","https://openalex.org/W2387462954","https://openalex.org/W2740701644","https://openalex.org/W2743104969","https://openalex.org/W2767500585","https://openalex.org/W2788103932","https://openalex.org/W2788816357","https://openalex.org/W2809156873","https://openalex.org/W2896687731","https://openalex.org/W2930957955","https://openalex.org/W2955270332","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2963265326","https://openalex.org/W2963707260","https://openalex.org/W3011008980","https://openalex.org/W3098636015","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W3105705953","https://openalex.org/W3106173465","https://openalex.org/W4288280762","https://openalex.org/W4293651439","https://openalex.org/W4301113013"],"related_works":["https://openalex.org/W2053241453","https://openalex.org/W2017590198","https://openalex.org/W2381242807","https://openalex.org/W2275433313","https://openalex.org/W2978974359","https://openalex.org/W2367713697","https://openalex.org/W2038479344","https://openalex.org/W2120116197","https://openalex.org/W159653547","https://openalex.org/W3094514835"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,65,146,162,269],"network":[4],"embedding":[5],"approach":[6,208],"to":[7,21,90,125,218,220,232,244],"automatically":[8],"generate":[9],"tags":[10,27],"for":[11,46,73,186,272],"microblog":[12,23,187,277],"users.":[13,278],"Instead":[14],"of":[15,43,52,95,102,107,115,139,145,168,201,264],"using":[16,131,249],"text":[17],"data,":[18,252],"we":[19,39,63,267],"aim":[20],"annotate":[22,245],"users":[24,116],"with":[25,209],"meaningful":[26],"by":[28],"leveraging":[29],"rich":[30],"social":[31,37,223,226],"link":[32,128,251],"data.":[33],"To":[34,58,177,260],"utilize":[35],"directed":[36],"links,":[38],"use":[40,263],"two":[41,70],"kinds":[42],"node":[44,103],"representations":[45],"modeling":[47],"user":[48,98,188,234,246],"interest":[49,76,142],"in":[50,190,258],"terms":[51],"their":[53],"followers":[54],"and":[55,173,241,275],"followees,":[56],"respectively.":[57],"alleviate":[59],"the":[60,93,96,100,112,119,127,141,151,156,182,191,199,202,250,262],"sparsity":[61],"problem,":[62],"propose":[64],"novel":[66],"method":[67],"based":[68],"on":[69,82,99,195],"transformation":[71],"functions":[72],"capturing":[74,83],"implicit":[75],"similarity.":[77],"Different":[78],"from":[79,118],"previous":[80],"works":[81],"high-order":[84],"proximity,":[85],"our":[86,108,134,178,215,265],"model":[87,109,135,216],"is":[88,110,136,181],"able":[89],"directly":[91],"characterize":[92],"effect":[94],"context":[97],"proximity":[101],"pairs.":[104],"Another":[105],"novelty":[106],"that":[111],"importance":[113],"scores":[114],"learned":[117],"classic":[120],"PageRank":[121],"algorithm":[122],"are":[123],"utilized":[124],"set":[126,166],"weights.":[129],"By":[130],"such":[132],"weights,":[133],"more":[137],"capable":[138],"disentangling":[140],"similarity":[143],"evidence":[144],"link.":[147],"We":[148,160,205],"jointly":[149],"consider":[150],"above":[152],"factors":[153],"when":[154],"designing":[155],"final":[157],"objective":[158],"function.":[159],"construct":[161],"very":[163,221],"large":[164,222],"evaluation":[165],"consisting":[167],"2.6M":[169],"users,":[170],"0.5M":[171],"tags,":[172],"0.8B":[174],"following":[175],"links.":[176],"knowledge,":[179],"it":[180],"largest":[183],"reported":[184],"dataset":[185,197],"tagging":[189],"literature.":[192],"Extensive":[193],"experiments":[194],"this":[196,207],"demonstrate":[198],"effectiveness":[200],"proposed":[203],"approach.":[204],"implement":[206,268],"several":[210],"optimization":[211],"techniques,":[212],"which":[213,253],"makes":[214],"easy":[217],"scale":[219],"networks.":[224],"Ubiquitous":[225],"links":[227],"provide":[228],"important":[229,255],"data":[230],"resources":[231],"understand":[233],"interests.":[235],"Our":[236],"work":[237],"provides":[238],"an":[239],"effective":[240],"efficient":[242],"solution":[243],"interests":[247],"solely":[248],"has":[254],"practical":[256],"value":[257],"industry.":[259],"illustrate":[261],"models,":[266],"demonstration":[270],"system":[271],"visualizing,":[273],"navigating,":[274],"searching":[276]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}