{"id":"https://openalex.org/W2906692845","doi":"https://doi.org/10.1109/pimrc.2018.8581037","title":"Learning about Fashion exploiting the Big Multimedia Data","display_name":"Learning about Fashion exploiting the Big Multimedia Data","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2906692845","doi":"https://doi.org/10.1109/pimrc.2018.8581037","mag":"2906692845"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2018.8581037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2018.8581037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5085911970","display_name":"Alessia Angeli","orcid":"https://orcid.org/0000-0002-3572-2076"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessia Angeli","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053041046","display_name":"Elena Loli Piccolomini","orcid":"https://orcid.org/0000-0002-9951-3564"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elena Loli Piccolomini","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012845043","display_name":"Gustavo Marfia","orcid":"https://orcid.org/0000-0003-3058-8004"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gustavo Marfia","raw_affiliation_strings":["Department for Life Quality Studies, University of Bologna"],"affiliations":[{"raw_affiliation_string":"Department for Life Quality Studies, University of Bologna","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085911970"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":2.9196,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92576262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12514","display_name":"Fashion and Cultural Textiles","score":0.9758999943733215,"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"}},"topics":[{"id":"https://openalex.org/T12514","display_name":"Fashion and Cultural Textiles","score":0.9758999943733215,"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"}},{"id":"https://openalex.org/T10145","display_name":"Consumer Behavior in Brand Consumption and Identification","score":0.9580000042915344,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9391000270843506,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8486009836196899},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.683098554611206},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6332955360412598},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6315257549285889},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6238381862640381},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5767912864685059},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4618816077709198},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43774908781051636},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.344707727432251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3303830027580261},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16997763514518738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8486009836196899},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.683098554611206},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6332955360412598},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6315257549285889},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6238381862640381},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5767912864685059},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4618816077709198},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43774908781051636},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.344707727432251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3303830027580261},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16997763514518738},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/pimrc.2018.8581037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2018.8581037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/673339","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/673339","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W181871703","https://openalex.org/W639708223","https://openalex.org/W1488107040","https://openalex.org/W1923555227","https://openalex.org/W1947985544","https://openalex.org/W2024826934","https://openalex.org/W2029485242","https://openalex.org/W2039319960","https://openalex.org/W2040108544","https://openalex.org/W2050014675","https://openalex.org/W2081127035","https://openalex.org/W2086706549","https://openalex.org/W2105103777","https://openalex.org/W2111072639","https://openalex.org/W2118023920","https://openalex.org/W2146851707","https://openalex.org/W2192479274","https://openalex.org/W2224457349","https://openalex.org/W2336472728","https://openalex.org/W2494935621","https://openalex.org/W2525778437","https://openalex.org/W2557283755","https://openalex.org/W2779877840","https://openalex.org/W2801877386","https://openalex.org/W2963678509","https://openalex.org/W3123725094","https://openalex.org/W6607307712"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417"],"abstract_inverted_index":{"We":[0],"here":[1],"propose":[2],"to":[3,25,33,82,137],"collect":[4],"and":[5,15,93],"analyze":[6],"large":[7,59],"amounts":[8,60],"of":[9,21,56,61,105,108,111,114,133],"multimedia":[10,62,134],"data":[11,135],"from":[12],"different":[13],"public":[14],"private":[16],"sources,":[17],"in":[18,69,74,95],"the":[19,52,75,106,109,112,121,128],"form":[20],"text,":[22],"image,":[23],"video,":[24],"predict":[26],"relevant":[27],"information":[28],"about":[29],"specific":[30],"quantities":[31],"related":[32,136],"fashion":[34,76],"brands,":[35],"such":[36],"as":[37,51],"their":[38],"sales":[39],"volumes":[40],"and/or":[41],"trends.":[42],"To":[43],"this":[44,96,99],"aim,":[45],"we":[46,119],"deem":[47],"deep":[48,129],"learning":[49,72,130],"techniques":[50],"suitable":[53],"instrument":[54],"capable":[55],"managing":[57],"extremely":[58],"data.":[63],"While":[64],"a":[65,124],"few":[66],"works":[67],"exist":[68],"literature":[70],"on":[71],"applications":[73,113],"area,":[77],"where":[78],"text":[79],"is":[80],"used":[81],"perform":[83],"sentiment":[84],"analysis":[85,132],"operations,":[86],"limited":[87],"research":[88],"has":[89],"also":[90],"considered":[91],"images":[92],"videos":[94],"context.":[97],"In":[98],"paper,":[100],"starting":[101],"with":[102],"an":[103],"overview":[104],"state":[107],"art":[110],"artificial":[115],"intelligence":[116],"for":[117,123,127],"fashion,":[118],"set":[120],"stage":[122],"holistic":[125],"approach":[126],"based":[131],"fashion.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2025-10-10T00:00:00"}