{"id":"https://openalex.org/W7161579369","doi":"https://doi.org/10.1109/access.2026.3694039","title":"Fine-Grained Fashion Feature Embedding for Global, Local, and Contextual Analysis in Fashion Social Media Popularity Prediction","display_name":"Fine-Grained Fashion Feature Embedding for Global, Local, and Contextual Analysis in Fashion Social Media Popularity Prediction","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7161579369","doi":"https://doi.org/10.1109/access.2026.3694039"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3694039","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3694039","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3694039","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130377146","display_name":"Shun Okamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shun Okamoto","raw_affiliation_strings":["Department of Computer Science, Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0009-0007-9579-2125","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102829652","display_name":"Satoshi Iizuka","orcid":"https://orcid.org/0000-0001-9136-8297"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Iizuka","raw_affiliation_strings":["Department of Computer Science, Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9136-8297","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101567870","display_name":"Kazuhiro Fukui","orcid":"https://orcid.org/0000-0002-4201-1096"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Fukui","raw_affiliation_strings":["Department of Computer Science, Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4201-1096","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60627665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"75674","last_page":"75689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.2020999938249588,"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":0.2020999938249588,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.20010000467300415,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12514","display_name":"Fashion and Cultural Textiles","score":0.07819999754428864,"subfield":{"id":"https://openalex.org/subfields/1209","display_name":"Museology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.78329998254776},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6473000049591064},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5045999884605408},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5042999982833862},{"id":"https://openalex.org/keywords/context-analysis","display_name":"Context analysis","score":0.45320001244544983},{"id":"https://openalex.org/keywords/contextual-design","display_name":"Contextual design","score":0.38019999861717224}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.78329998254776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662000060081482},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6473000049591064},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5045999884605408},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5042999982833862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5002999901771545},{"id":"https://openalex.org/C52085439","wikidata":"https://www.wikidata.org/wiki/Q5165173","display_name":"Context analysis","level":3,"score":0.45320001244544983},{"id":"https://openalex.org/C71611378","wikidata":"https://www.wikidata.org/wiki/Q5165191","display_name":"Contextual design","level":3,"score":0.38019999861717224},{"id":"https://openalex.org/C2985264313","wikidata":"https://www.wikidata.org/wiki/Q378859","display_name":"Pattern analysis","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.31769999861717224},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C59050026","wikidata":"https://www.wikidata.org/wiki/Q5048330","display_name":"Case analysis","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.26570001244544983},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25369998812675476},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3694039","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3694039","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f8b8189fff7e47888053ae4c02c2fc34","is_oa":true,"landing_page_url":"https://doaj.org/article/f8b8189fff7e47888053ae4c02c2fc34","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 75674-75689 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3694039","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3694039","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3502778504","display_name":null,"funder_award_id":"JP25K15174","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5000001514","display_name":null,"funder_award_id":"JP25K15174","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"}],"funders":[{"id":"https://openalex.org/F4320320212","display_name":"Japan Society for the Promotion of Science London","ror":"https://ror.org/02m7axw05"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Predicting":[0],"the":[1,12,34,84,122,140,198],"popularity":[2,29,172],"of":[3,121,201],"social":[4,51,75,210],"media":[5,76,211],"posts":[6,96],"is":[7,81],"a":[8,70,107,118],"critical":[9],"task":[10],"in":[11,89,191],"fashion":[13,39,86,127],"industry,":[14],"as":[15,175],"prediction":[16,173,226],"accuracy":[17],"directly":[18],"influences":[19],"marketing":[20],"and":[21,66,103,133,148,159,214,224,232],"advertising":[22],"effectiveness.":[23],"However,":[24],"existing":[25,171,221],"methods":[26],"for":[27,38,63,74],"predicting":[28],"often":[30],"fail":[31],"to":[32,46,50,82,94,154],"capture":[33],"fine-grained":[35],"cues":[36],"required":[37],"analysis,":[40],"whereas":[41],"fashion-specific":[42,193,222],"feature":[43,161],"extractors":[44],"tend":[45],"overlook":[47],"attributes":[48],"unique":[49],"media.":[52],"To":[53,178],"address":[54],"these":[55],"limitations,":[56],"we":[57,182],"propose":[58],"Fine-Grained":[59],"Fashion":[60],"Feature":[61],"Embedding":[62],"Global,":[64],"Local,":[65],"Contextual":[67],"Analysis":[68],"(FFGLC),":[69],"fashion-oriented":[71],"representation":[72],"designed":[73,114],"posts.":[77],"The":[78,163],"key":[79],"idea":[80],"leverage":[83],"rich":[85],"knowledge":[87],"embedded":[88,143],"pre-trained":[90,145],"Vision\u2013Language":[91],"Models":[92],"(VLMs)":[93],"analyze":[95],"from":[97],"multiple":[98],"perspectives.":[99],"Given":[100],"an":[101,188],"image":[102],"its":[104],"posting":[105],"date,":[106],"VLM":[108],"generates":[109],"five":[110],"captions":[111],"using":[112,150],"carefully":[113],"prompts,":[115],"each":[116],"describing":[117],"different":[119],"aspect":[120],"post:":[123],"overall":[124],"appearance,":[125],"specific":[126],"items,":[128],"color":[129],"relevance,":[130],"seasonal":[131],"context,":[132],"compositional":[134],"structure.":[135],"These":[136],"captions,":[137],"together":[138],"with":[139,197],"image,":[141],"are":[142,195],"by":[144],"vision\u2013language":[146],"encoders":[147],"compressed":[149],"principal":[151],"component":[152],"analysis":[153],"yield":[155],"compact":[156],"global,":[157],"local,":[158],"contextual":[160],"vectors.":[162],"resulting":[164],"features":[165,200],"can":[166],"be":[167],"seamlessly":[168],"integrated":[169],"into":[170],"frameworks":[174,231],"additional":[176],"inputs.":[177],"quantify":[179],"their":[180],"contribution,":[181],"introduce":[183],"Enhanced":[184],"Popularity":[185],"Prediction":[186],"(EPP),":[187],"evaluation":[189],"protocol":[190],"which":[192],"embeddings":[194],"concatenated":[196],"multi-modal":[199],"strong":[202],"baseline":[203],"frameworks.":[204],"Experimental":[205],"results":[206],"on":[207],"two":[208],"fashion-related":[209],"datasets,":[212],"SMPD-Fashion":[213],"WEAR-PD,":[215],"show":[216],"that":[217],"FFGLC":[218],"consistently":[219],"outperforms":[220],"representations":[223],"improves":[225],"performance":[227],"across":[228],"all":[229],"base":[230],"datasets.":[233]},"counts_by_year":[],"updated_date":"2026-05-23T06:10:36.450269","created_date":"2026-05-19T00:00:00"}