{"id":"https://openalex.org/W4285241169","doi":"https://doi.org/10.1109/tmm.2022.3186744","title":"Personalized Fashion Recommendation With Discrete Content-Based Tensor Factorization","display_name":"Personalized Fashion Recommendation With Discrete Content-Based Tensor Factorization","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4285241169","doi":"https://doi.org/10.1109/tmm.2022.3186744"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3186744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3186744","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5009086349","display_name":"Zhi Lu","orcid":"https://orcid.org/0000-0001-6941-981X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Lu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6941-981X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089921601","display_name":"Yang Hu","orcid":"https://orcid.org/0000-0003-0379-1525"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Hu","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0379-1525","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034257982","display_name":"Cong Yu","orcid":"https://orcid.org/0000-0001-6744-021X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Yu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6744-021X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103852137","display_name":"Yunchao Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunchao Jiang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378075","display_name":"Yan Chen","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3227-4562","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077470082","display_name":"Bing Zeng","orcid":"https://orcid.org/0000-0002-4491-7967"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zeng","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4491-7967","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009086349"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.9388,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87376229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"25","issue":null,"first_page":"5053","last_page":"5064"},"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":0.9957000017166138,"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":0.9957000017166138,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9735999703407288,"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":0.8604600429534912},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5654709935188293},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.550348699092865},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5435764789581299},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5079470276832581},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49203750491142273},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.47229912877082825},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.47092145681381226},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.45708322525024414},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41277840733528137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3600468337535858},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3509851396083832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31900516152381897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8604600429534912},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5654709935188293},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.550348699092865},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5435764789581299},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5079470276832581},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49203750491142273},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.47229912877082825},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.47092145681381226},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.45708322525024414},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41277840733528137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3600468337535858},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3509851396083832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31900516152381897},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3186744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3186744","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8134412933","display_name":null,"funder_award_id":"62172381","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":70,"referenced_works":["https://openalex.org/W1757785627","https://openalex.org/W2019315587","https://openalex.org/W2024165284","https://openalex.org/W2027731328","https://openalex.org/W2058196845","https://openalex.org/W2059851891","https://openalex.org/W2089349245","https://openalex.org/W2130942839","https://openalex.org/W2140310134","https://openalex.org/W2147717514","https://openalex.org/W2163605009","https://openalex.org/W2170314267","https://openalex.org/W2194775991","https://openalex.org/W2221507685","https://openalex.org/W2336920772","https://openalex.org/W2411707397","https://openalex.org/W2483053118","https://openalex.org/W2562322388","https://openalex.org/W2737102415","https://openalex.org/W2739583914","https://openalex.org/W2742528903","https://openalex.org/W2768635523","https://openalex.org/W2795117763","https://openalex.org/W2802722374","https://openalex.org/W2903444877","https://openalex.org/W2904561864","https://openalex.org/W2912053445","https://openalex.org/W2912236665","https://openalex.org/W2912727434","https://openalex.org/W2920852583","https://openalex.org/W2948564662","https://openalex.org/W2962786441","https://openalex.org/W2962919781","https://openalex.org/W2963258075","https://openalex.org/W2963398644","https://openalex.org/W2964181521","https://openalex.org/W2964280870","https://openalex.org/W2967862025","https://openalex.org/W2981414235","https://openalex.org/W2983848182","https://openalex.org/W2984373482","https://openalex.org/W2984983779","https://openalex.org/W2998315347","https://openalex.org/W3003608386","https://openalex.org/W3009224666","https://openalex.org/W3010209648","https://openalex.org/W3010655023","https://openalex.org/W3011730758","https://openalex.org/W3012895527","https://openalex.org/W3034229012","https://openalex.org/W3034366527","https://openalex.org/W3093227037","https://openalex.org/W3099462466","https://openalex.org/W3100153382","https://openalex.org/W3104731853","https://openalex.org/W3133501200","https://openalex.org/W3175016299","https://openalex.org/W4281704100","https://openalex.org/W4295312788","https://openalex.org/W4303685239","https://openalex.org/W6679436768","https://openalex.org/W6680830989","https://openalex.org/W6684191040","https://openalex.org/W6688152296","https://openalex.org/W6691474080","https://openalex.org/W6697214482","https://openalex.org/W6737001742","https://openalex.org/W6749738073","https://openalex.org/W6766978945","https://openalex.org/W6774491127"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2342498029","https://openalex.org/W4225892600"],"abstract_inverted_index":{"Fashion":[0],"outfit":[1,101],"recommendation":[2,30],"has":[3],"attracted":[4],"lots":[5],"of":[6,35,86,94],"attention":[7],"recently.":[8],"The":[9],"problem":[10],"becomes":[11],"even":[12],"more":[13],"interesting":[14],"and":[15,37,42,59],"challenging":[16],"when":[17],"considering":[18],"users\u2019":[19],"personalized":[20],"fashion":[21,66],"preferences.":[22],"Although":[23],"existing":[24],"works":[25],"have":[26],"successfully":[27],"improved":[28],"the":[29,32,78,92,120],"accuracy,":[31],"efficiency":[33],"issue":[34],"computation":[36],"storage":[38],"is":[39],"still":[40],"under-investigated":[41],"often":[43],"ignored.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,97],"propose":[49],"a":[50,70,84,99,109],"discrete":[51],"content-based":[52],"tensor":[53],"factorization":[54],"model":[55,122],"that":[56,119],"maps":[57],"items":[58],"user":[60,105],"to":[61,75],"binary":[62,79],"codes":[63,80],"for":[64,73],"efficient":[65],"recommendation.":[67],"We":[68],"introduce":[69],"probabilistic":[71],"perspective":[72],"learning":[74],"hash,":[76],"where":[77],"are":[81],"sampled":[82],"from":[83,108],"set":[85],"underlying":[87],"Bernoulli":[88],"variables.":[89],"To":[90],"demonstrate":[91],"effectiveness":[93],"our":[95,116],"model,":[96],"collect":[98],"large-scale":[100],"dataset":[102,117],"together":[103],"with":[104],"label":[106],"information":[107],"fashion-focused":[110],"social":[111],"website.":[112],"Extensive":[113],"experiments":[114],"on":[115],"show":[118],"proposed":[121],"outperforms":[123],"other":[124],"state-of-the-art":[125],"methods.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
