{"id":"https://openalex.org/W2955738169","doi":"https://doi.org/10.1109/tii.2019.2924725","title":"Learning to Match Clothing From Textual Feature-Based Compatible Relationships","display_name":"Learning to Match Clothing From Textual Feature-Based Compatible Relationships","publication_year":2019,"publication_date":"2019-06-25","ids":{"openalex":"https://openalex.org/W2955738169","doi":"https://doi.org/10.1109/tii.2019.2924725","mag":"2955738169"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2019.2924725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2924725","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5100458457","display_name":"Haijun Zhang","orcid":"https://orcid.org/0000-0002-1648-0227"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haijun Zhang","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103653524","display_name":"Wang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Huang","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409397","display_name":"Linlin Liu","orcid":"https://orcid.org/0000-0003-0927-3913"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Liu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050716572","display_name":"Tommy W. S. Chow","orcid":"https://orcid.org/0000-0001-7051-0434"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tommy W. S. Chow","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100458457"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.4171,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.8536036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"11","first_page":"6750","last_page":"6759"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T11448","display_name":"Face recognition and analysis","score":0.994700014591217,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9921000003814697,"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/clothing","display_name":"Clothing","score":0.8515740633010864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7318782806396484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5838128924369812},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.568523645401001},{"id":"https://openalex.org/keywords/compatibility","display_name":"Compatibility (geochemistry)","score":0.548395037651062},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48759618401527405},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4864663779735565},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46536970138549805},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4623625874519348},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3544040620326996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11396417021751404},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07442256808280945}],"concepts":[{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.8515740633010864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318782806396484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5838128924369812},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.568523645401001},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.548395037651062},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48759618401527405},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4864663779735565},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46536970138549805},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4623625874519348},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3544040620326996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11396417021751404},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07442256808280945},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2019.2924725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2924725","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2919415944","display_name":null,"funder_award_id":"61572156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G31233193","display_name":null,"funder_award_id":"61832004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1530276735","https://openalex.org/W1689711448","https://openalex.org/W1880262756","https://openalex.org/W1892181866","https://openalex.org/W2021354639","https://openalex.org/W2027731328","https://openalex.org/W2064675550","https://openalex.org/W2064853889","https://openalex.org/W2096451472","https://openalex.org/W2101234009","https://openalex.org/W2119788759","https://openalex.org/W2140634820","https://openalex.org/W2144499799","https://openalex.org/W2155893237","https://openalex.org/W2157364932","https://openalex.org/W2158063174","https://openalex.org/W2158515176","https://openalex.org/W2166880842","https://openalex.org/W2221507685","https://openalex.org/W2251427843","https://openalex.org/W2278713724","https://openalex.org/W2481401919","https://openalex.org/W2483053118","https://openalex.org/W2508865106","https://openalex.org/W2518638964","https://openalex.org/W2597121862","https://openalex.org/W2753857717","https://openalex.org/W2963920264","https://openalex.org/W3100153382","https://openalex.org/W4252403066","https://openalex.org/W6600284362","https://openalex.org/W6639407027","https://openalex.org/W6639619044","https://openalex.org/W6725015247","https://openalex.org/W6743794490"],"related_works":["https://openalex.org/W2738456166","https://openalex.org/W2352745894","https://openalex.org/W2057731951","https://openalex.org/W2358836583","https://openalex.org/W2119941839","https://openalex.org/W2022897160","https://openalex.org/W2387983088","https://openalex.org/W2135888309","https://openalex.org/W3080469217","https://openalex.org/W791876968"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,40,74],"new":[4],"framework":[5,78],"for":[6,47],"matching":[7],"clothes":[8],"by":[9,64,73],"considering":[10],"item":[11,54,85],"in-between":[12],"compatibility.":[13],"In":[14],"contrast":[15],"to":[16,34],"the":[17,36,96],"use":[18],"of":[19,22,50,56,98],"visual":[20],"features":[21],"clothing":[23,84],"items,":[24],"we":[25],"only":[26],"utilized":[27],"their":[28,60],"textual":[29],"descriptions,":[30],"i.e.,":[31],"title":[32,51],"sentences,":[33],"constitute":[35],"basic":[37],"features.":[38],"Specifically,":[39],"longshort-term":[41],"memory":[42],"(LSTM)":[43],"network":[44],"was":[45],"used":[46],"feature":[48,61],"embeddings":[49,62],"sentences.":[52],"Given":[53],"pairs":[55],"queries":[57],"and":[58,91],"candidates,":[59],"achieved":[63],"Siamese":[65],"LSTMs":[66],"were":[67],"integrated":[68],"into":[69],"style-compatible":[70],"space":[71],"characterized":[72],"compatibility":[75],"matrix.":[76],"Our":[77],"is":[79],"examined":[80],"on":[81],"three":[82],"large-scaled":[83],"sets":[86],"collected":[87],"from":[88],"Amazon,":[89],"Taobao,":[90],"Polyvore,":[92],"respectively.":[93],"Experiments":[94],"confirm":[95],"efficacy":[97],"our":[99],"approach":[100],"compared":[101],"with":[102],"several":[103],"baseline":[104],"methods.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}