{"id":"https://openalex.org/W4362564503","doi":"https://doi.org/10.1145/3577164.3577177","title":"Image-Based Fashion Recommendation with Attention to Users' Interests","display_name":"Image-Based Fashion Recommendation with Attention to Users' Interests","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4362564503","doi":"https://doi.org/10.1145/3577164.3577177"},"language":"en","primary_location":{"id":"doi:10.1145/3577164.3577177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577164.3577177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","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/A5087979612","display_name":"Wenxin Yao","orcid":"https://orcid.org/0000-0002-1555-9443"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Wenxin Yao","raw_affiliation_strings":["School of Software Engineering, University of Science and Technology of China, China and \rGraduate School of Computer and Information Sciences, Hosei University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1555-9443","affiliations":[{"raw_affiliation_string":"School of Software Engineering, University of Science and Technology of China, China and \rGraduate School of Computer and Information Sciences, Hosei University, Japan","institution_ids":["https://openalex.org/I204291657","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081467102","display_name":"Kaoru Uchida","orcid":"https://orcid.org/0000-0003-1607-5261"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Uchida","raw_affiliation_strings":["Graduate School of Computer and Information Sciences, Hosei university, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1607-5261","affiliations":[{"raw_affiliation_string":"Graduate School of Computer and Information Sciences, Hosei university, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004677406","display_name":"Jianpeng Zou","orcid":"https://orcid.org/0000-0001-7927-0561"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Jianpeng Zou","raw_affiliation_strings":["School of Software Engineering, University of Science and Technology of China, China and \rGraduate School of Computer and Information Sciences, Hosei University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7927-0561","affiliations":[{"raw_affiliation_string":"School of Software Engineering, University of Science and Technology of China, China and \rGraduate School of Computer and Information Sciences, Hosei University, Japan","institution_ids":["https://openalex.org/I204291657","https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035670754","display_name":"Xiaolin Zhong","orcid":"https://orcid.org/0000-0001-9881-8668"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolin Zhong","raw_affiliation_strings":["Meituan, China"],"raw_orcid":"https://orcid.org/0000-0001-9881-8668","affiliations":[{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087979612"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":0.102,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43275238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9915000200271606,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9915000200271606,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6774673461914062},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5145766139030457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42425987124443054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41949862241744995},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33230194449424744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6774673461914062},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5145766139030457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42425987124443054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41949862241744995},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33230194449424744}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577164.3577177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577164.3577177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1412447802","https://openalex.org/W2027731328","https://openalex.org/W2124386111","https://openalex.org/W2146851707","https://openalex.org/W2171960770","https://openalex.org/W2200092826","https://openalex.org/W2475334473","https://openalex.org/W2723293840","https://openalex.org/W2788663865","https://openalex.org/W2909996846","https://openalex.org/W2963900085","https://openalex.org/W2964258748","https://openalex.org/W2971196067","https://openalex.org/W3035524453","https://openalex.org/W3100956988","https://openalex.org/W3101830194","https://openalex.org/W3138516171","https://openalex.org/W4285602623","https://openalex.org/W4297971002","https://openalex.org/W6683411478"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Building":[0],"an":[1,146],"effective":[2],"fashion":[3,94],"recommendation":[4,53,141,250],"system":[5,156],"is":[6,38],"challenging":[7],"due":[8],"to":[9,99,144,158,219],"the":[10,16,20,31,34,87,127,136,149,164,168,200],"high":[11],"level":[12],"of":[13,19,33,69,89,167,213],"subjectivity":[14],"and":[15,30,48,60,72,104,125,170,182,203,226,233,247],"semantic":[17],"complexity":[18],"features":[21,91,101],"involved.":[22],"Users\u2019":[23],"decision":[24],"depends":[25],"largely":[26],"on":[27,86,108,178,215],"their":[28,109],"interest":[29,174],"appearance":[32],"product.":[35],"Such":[36],"information":[37,166,242],"often":[39],"hidden":[40],"in":[41,199],"implicit":[42],"feedback":[43],"from":[44,102],"users'":[45,132,160],"purchase":[46],"histories":[47],"product":[49,70,95,169],"images.":[50],"Most":[51],"interest-based":[52],"systems":[54,142],"like":[55],"Deep":[56,61],"Interest":[57,62],"Network":[58,64],"(DIN)":[59],"Evolution":[63],"(DIEN)":[65],"only":[66],"take":[67],"advantage":[68],"attributes":[71,181],"context":[73],"review,":[74],"which":[75],"are":[76,81,120],"all":[77],"text":[78],"information.":[79,192],"There":[80],"also":[82],"some":[83],"studies":[84],"focusing":[85],"use":[88],"image":[90],"for":[92,112],"a":[93,154,211],"recommendation.":[96],"They":[97],"try":[98],"extract":[100],"images":[103],"recommend":[105],"products":[106],"based":[107,177],"similarity.":[110],"However,":[111],"DIEN.":[113,179],"It":[114],"works":[115],"not":[116,130],"well":[117],"when":[118],"there":[119],"few":[121],"interactions":[122],"between":[123],"users":[124],"items,":[126],"model":[128,176,195,230],"can":[129,185,194],"find":[131,159,204],"interests":[133,161,206],"effectively.":[134,208],"On":[135],"other":[137,234],"hand,":[138],"these":[139],"image-based":[140,172],"tend":[143],"ignore":[145],"important":[147],"factor:":[148],"user's":[150],"interest.":[151],"We":[152,193,209],"propose":[153],"new":[155],"trying":[157],"by":[162,189],"introducing":[163,190],"visual":[165,191,241],"our":[171,216,229],"deep":[173],"attention":[175],"Product":[180],"user":[183,205,221],"preference":[184],"both":[186],"be":[187],"represented":[188],"similar":[196],"attribute":[197],"items":[198],"same":[201],"place":[202],"more":[207],"conducted":[210],"series":[212],"experiments":[214],"own":[217],"dataset":[218],"compare":[220],"click-through":[222],"rate":[223],"(CTR)":[224],"AUC":[225],"Accuracy":[227],"using":[228],"with":[231],"DIEN":[232],"existing":[235],"models.Our":[236],"experimental":[237],"results":[238],"demonstrate":[239],"that":[240],"effectively":[243],"aids":[244],"CTR":[245],"prediction":[246],"achieved":[248],"better":[249],"results.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
