{"id":"https://openalex.org/W3048886518","doi":"https://doi.org/10.1145/3394171.3413747","title":"Cognitive Representation Learning of Self-Media Online Article Quality","display_name":"Cognitive Representation Learning of Self-Media Online Article Quality","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3048886518","doi":"https://doi.org/10.1145/3394171.3413747","mag":"3048886518"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.05658","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100319145","display_name":"Yiru Wang","orcid":"https://orcid.org/0009-0006-2193-6686"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiru Wang","raw_affiliation_strings":["Tencent Inc.; Tsinghua University, Shenzhen, China","Tencent Inc"],"affiliations":[{"raw_affiliation_string":"Tencent Inc.; Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tencent Inc","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108615106","display_name":"Shen Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Huang","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003577897","display_name":"Gongfu Li","orcid":"https://orcid.org/0000-0003-0655-5317"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongfu Li","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080694348","display_name":"Qiang Deng","orcid":"https://orcid.org/0000-0003-0664-5419"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Deng","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053595500","display_name":"Dongliang Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongliang Liao","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025672344","display_name":"Pengda Si","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengda Si","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020953714","display_name":"Yujiu Yang","orcid":"https://orcid.org/0000-0002-6427-1024"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujiu Yang","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114357209","display_name":"Jin Xu","orcid":"https://orcid.org/0009-0001-8735-3532"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Xu","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100319145"],"corresponding_institution_ids":["https://openalex.org/I2250653659","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8228,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79162168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"843","last_page":"851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976000189781189,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976000189781189,"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/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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":0.9940999746322632,"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":0.8319131135940552},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.61821448802948},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5609970688819885},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5371080040931702},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5310452580451965},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5246449112892151},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.48372939229011536},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46121251583099365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4153163433074951},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3904955983161926},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3831549882888794},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3550106883049011},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33872708678245544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8319131135940552},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.61821448802948},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5609970688819885},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5371080040931702},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5310452580451965},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5246449112892151},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.48372939229011536},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46121251583099365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4153163433074951},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3904955983161926},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3831549882888794},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3550106883049011},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33872708678245544},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3394171.3413747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.05658","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.05658","pdf_url":"https://arxiv.org/pdf/2008.05658","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.05658","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.05658","pdf_url":"https://arxiv.org/pdf/2008.05658","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1502007822","https://openalex.org/W1832693441","https://openalex.org/W1989304522","https://openalex.org/W2008117322","https://openalex.org/W2096879700","https://openalex.org/W2157331557","https://openalex.org/W2250372169","https://openalex.org/W2251191978","https://openalex.org/W2398606097","https://openalex.org/W2440757793","https://openalex.org/W2510438573","https://openalex.org/W2564237127","https://openalex.org/W2567547739","https://openalex.org/W2740592764","https://openalex.org/W2798555947","https://openalex.org/W2886326288","https://openalex.org/W2898085636","https://openalex.org/W2903664715","https://openalex.org/W2930957955","https://openalex.org/W2962769776","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2964211782","https://openalex.org/W2964308564","https://openalex.org/W2967226526","https://openalex.org/W3098654368","https://openalex.org/W3101704389","https://openalex.org/W4205962651","https://openalex.org/W4206070857"],"related_works":["https://openalex.org/W2082438799","https://openalex.org/W1966986837","https://openalex.org/W2360138227","https://openalex.org/W4365808155","https://openalex.org/W1838455177","https://openalex.org/W1489909378","https://openalex.org/W2392697679","https://openalex.org/W2385990477","https://openalex.org/W2331964906","https://openalex.org/W4390871823"],"abstract_inverted_index":{"The":[0],"automatic":[1],"quality":[2,157],"assessment":[3,132],"of":[4,16,44,57,117,122,153],"self-media":[5,31],"online":[6,21,32,155],"articles":[7,33],"is":[8,15,110],"an":[9,119],"urgent":[10],"and":[11,23,28,48,65,88,102,146,149],"new":[12],"issue,":[13],"which":[14,39],"great":[17],"value":[18],"to":[19],"the":[20,41,54,83,98,114,139,154],"recommendation":[22],"search.":[24],"Different":[25],"from":[26],"traditional":[27],"well-formed":[29],"articles,":[30],"are":[34],"mainly":[35],"created":[36],"by":[37],"users,":[38],"have":[40,125],"appearance":[42],"characteristics":[43,56,87],"different":[45,60,92,151],"text":[46,89],"levels":[47],"multi-modal":[49],"hybrid":[50],"editing,":[51],"along":[52],"with":[53,82,113],"potential":[55],"diverse":[58],"content,":[59],"styles,":[61],"large":[62,129],"semantic":[63],"spans":[64],"good":[66],"interactive":[67,103],"experience":[68],"requirements.":[69],"To":[70],"solve":[71],"these":[72],"challenges,":[73],"we":[74],"establish":[75],"a":[76,128],"joint":[77],"model":[78],"CoQAN":[79],"in":[80],"combination":[81],"layout":[84],"organization,":[85],"writing":[86],"semantics,":[90],"designing":[91],"representation":[93],"learning":[94,100],"subnetworks,":[95],"especially":[96],"for":[97],"feature":[99],"process":[101],"reading":[104],"habits":[105],"on":[106],"mobile":[107],"terminals.":[108],"It":[109],"more":[111],"consistent":[112],"cognitive":[115],"style":[116],"expressing":[118],"expert's":[120],"evaluation":[121],"articles.":[123],"We":[124],"also":[126],"constructed":[127],"scale":[130],"real-world":[131],"dataset.":[133],"Extensive":[134],"experimental":[135],"results":[136],"show":[137],"that":[138],"proposed":[140],"framework":[141],"significantly":[142],"outperforms":[143],"state-of-the-art":[144],"methods,":[145],"effectively":[147],"learns":[148],"integrates":[150],"factors":[152],"article":[156],"assessment.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}