{"id":"https://openalex.org/W4303648548","doi":"https://doi.org/10.1007/s13735-022-00262-5","title":"Multimodal Quasi-AutoRegression: forecasting the visual popularity of new fashion products","display_name":"Multimodal Quasi-AutoRegression: forecasting the visual popularity of new fashion products","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4303648548","doi":"https://doi.org/10.1007/s13735-022-00262-5"},"language":"en","primary_location":{"id":"doi:10.1007/s13735-022-00262-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13735-022-00262-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13735-022-00262-5.pdf","source":{"id":"https://openalex.org/S2496055428","display_name":"International Journal of Multimedia Information Retrieval","issn_l":"2192-6611","issn":["2192-6611","2192-662X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Information Retrieval","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13735-022-00262-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060067447","display_name":"Stefanos-Iordanis Papadopoulos","orcid":"https://orcid.org/0000-0002-1424-2647"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Stefanos-Iordanis Papadopoulos","raw_affiliation_strings":["Information Technology Institute, CERTH, Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0000-0002-1424-2647","affiliations":[{"raw_affiliation_string":"Information Technology Institute, CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024874767","display_name":"Christos Koutlis","orcid":"https://orcid.org/0000-0003-3682-408X"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Koutlis","raw_affiliation_strings":["Information Technology Institute, CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Institute, CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013616365","display_name":"Symeon Papadopoulos","orcid":"https://orcid.org/0000-0002-5441-7341"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Symeon Papadopoulos","raw_affiliation_strings":["Information Technology Institute, CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Institute, CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084122016","display_name":"Ioannis Kompatsiaris","orcid":"https://orcid.org/0000-0001-6447-9020"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Kompatsiaris","raw_affiliation_strings":["Information Technology Institute, CERTH, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Institute, CERTH, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060067447"],"corresponding_institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":4.0761,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94317328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":"4","first_page":"717","last_page":"729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12514","display_name":"Fashion and Cultural Textiles","score":0.9675999879837036,"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/computer-science","display_name":"Computer science","score":0.8393838405609131},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6479061245918274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6018015146255493},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5492697358131409},{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.5332821011543274},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4969330132007599},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42578500509262085},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41547197103500366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3484872877597809},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20850154757499695},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.10449472069740295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8393838405609131},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6479061245918274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6018015146255493},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5492697358131409},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.5332821011543274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4969330132007599},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42578500509262085},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41547197103500366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3484872877597809},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20850154757499695},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.10449472069740295},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s13735-022-00262-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13735-022-00262-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13735-022-00262-5.pdf","source":{"id":"https://openalex.org/S2496055428","display_name":"International Journal of Multimedia Information Retrieval","issn_l":"2192-6611","issn":["2192-6611","2192-662X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Information Retrieval","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:7540736","is_oa":true,"landing_page_url":"https://zenodo.org/record/7540736","pdf_url":"https://zenodo.org/record/7540736","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Multimedia Information Retrieval 11(4)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s13735-022-00262-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13735-022-00262-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13735-022-00262-5.pdf","source":{"id":"https://openalex.org/S2496055428","display_name":"International Journal of Multimedia Information Retrieval","issn_l":"2192-6611","issn":["2192-6611","2192-662X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Information Retrieval","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3220018952","display_name":null,"funder_award_id":"951908","funder_id":"https://openalex.org/F4320335254","funder_display_name":"Horizon 2020"}],"funders":[{"id":"https://openalex.org/F4320335254","display_name":"Horizon 2020","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4303648548.pdf","grobid_xml":"https://content.openalex.org/works/W4303648548.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W38708963","https://openalex.org/W2027731328","https://openalex.org/W2064675550","https://openalex.org/W2598525681","https://openalex.org/W2604847698","https://openalex.org/W2613328025","https://openalex.org/W2614562328","https://openalex.org/W2889059162","https://openalex.org/W2964054038","https://openalex.org/W2970742241","https://openalex.org/W2981747147","https://openalex.org/W2990882719","https://openalex.org/W3016024765","https://openalex.org/W3022643593","https://openalex.org/W3033060645","https://openalex.org/W3035726724","https://openalex.org/W3080418372","https://openalex.org/W3082711506","https://openalex.org/W3132782787","https://openalex.org/W3175016299","https://openalex.org/W3177318507","https://openalex.org/W3211439535","https://openalex.org/W4225750628","https://openalex.org/W4254218124","https://openalex.org/W4286970899","https://openalex.org/W4323715263"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W2775506363","https://openalex.org/W3088136942","https://openalex.org/W2963177403","https://openalex.org/W4290852288","https://openalex.org/W2949362007","https://openalex.org/W4283207562","https://openalex.org/W2330246314","https://openalex.org/W2949522393","https://openalex.org/W2349019353"],"abstract_inverted_index":{"Abstract":[0],"Estimating":[1],"the":[2,11,36,42,47,92,101,106,111,137,154,161,177,191,223,230,247,259,264],"preferences":[3],"of":[4,7,24,39,50,61,91,105,115,139,164,186,193,225,255,263,272],"consumers":[5],"is":[6,30,54,146,253],"utmost":[8],"importance":[9],"for":[10,128],"fashion":[12,29,43,145,216],"industry":[13],"as":[14,183],"appropriately":[15],"leveraging":[16],"this":[17,65],"information":[18],"can":[19],"be":[20],"beneficial":[21],"in":[22,28,41,144,270],"terms":[23,271],"profit.":[25],"Trend":[26],"detection":[27],"a":[31,70,81,96,184],"challenging":[32],"task":[33],"due":[34,58],"to":[35,59,221,237,240],"fast":[37],"pace":[38],"change":[40],"industry.":[44],"Moreover,":[45],"forecasting":[46],"visual":[48,87,131],"popularity":[49,188],"new":[51,140],"garment":[52],"designs":[53],"even":[55],"more":[56],"demanding":[57],"lack":[60,192],"historical":[62,194],"data.":[63],"To":[64],"end,":[66],"we":[67],"propose":[68],"MuQAR,":[69],"Multimodal":[71],"Quasi-AutoRegressive":[72,97],"deep":[73],"learning":[74],"architecture":[75],"that":[76,251],"combines":[77],"two":[78,213],"modules:":[79],"(1)":[80],"multimodal":[82],"multilayer":[83],"perceptron":[84],"processing":[85],"categorical,":[86],"and":[88,94,125,133,150,219,227,234,257,268,274],"textual":[89,134],"features":[90,132,152],"product":[93],"(2)":[95],"neural":[98],"network":[99],"modelling":[100],"\u201ctarget\u201d":[102],"time":[103,113,181,198],"series":[104,114,182,199],"product\u2019s":[107,178],"attributes":[108,180],"along":[109],"with":[110,160],"\u201cexogenous\u201d":[112],"all":[116],"other":[117,241],"attributes.":[118,205],"We":[119,175,206],"utilize":[120],"computer":[121],"vision,":[122],"image":[123,126,215],"classification":[124],"captioning,":[127],"automatically":[129],"extracting":[130],"descriptions":[135],"from":[136],"images":[138],"products.":[141],"Product":[142],"design":[143],"initially":[147],"expressed":[148],"visually":[149],"these":[151],"represent":[153],"products\u2019":[155],"unique":[156],"characteristics":[157],"without":[158],"interfering":[159],"creative":[162],"process":[163],"its":[165],"designers":[166],"by":[167,266],"requiring":[168],"additional":[169],"inputs":[170],"(e.g.":[171],"manually":[172],"written":[173],"texts).":[174],"employ":[176],"target":[179],"proxy":[185],"temporal":[187],"patterns,":[189],"mitigating":[190],"data,":[195],"while":[196],"exogenous":[197],"help":[200],"capture":[201],"trends":[202],"among":[203],"interrelated":[204],"perform":[207],"an":[208],"extensive":[209],"ablation":[210],"analysis":[211],"on":[212,246],"large-scale":[214],"datasets,":[217],"Mallzee-P":[218],"SHIFT15m":[220],"assess":[222,238],"adequacy":[224],"MuQAR":[226,252],"also":[228],"use":[229],"Amazon":[231],"Reviews:":[232],"Home":[233],"Kitchen":[235],"dataset":[236,249],"generalization":[239],"domains.":[242],"A":[243],"comparative":[244],"study":[245],"VISUELLE":[248],"shows":[250],"capable":[254],"competing":[256],"surpassing":[258],"domain\u2019s":[260],"current":[261],"state":[262],"art":[265],"4.65%":[267],"4.8%":[269],"WAPE":[273],"MAE,":[275],"respectively.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
