{"id":"https://openalex.org/W3163327183","doi":"https://doi.org/10.1145/3460426.3463638","title":"Leveraging Two Types of Global Graph for Sequential Fashion Recommendation","display_name":"Leveraging Two Types of Global Graph for Sequential Fashion Recommendation","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W3163327183","doi":"https://doi.org/10.1145/3460426.3463638","mag":"3163327183"},"language":"en","primary_location":{"id":"doi:10.1145/3460426.3463638","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460426.3463638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.07585","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yujuan Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yujuan Ding","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yunshan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yunshan Ma","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wai Keung Wong","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wai Keung Wong","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tat-Seng Chua","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":5.3879,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.9578781,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9581000208854675,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9502999782562256,"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/leverage","display_name":"Leverage (statistics)","score":0.6725000143051147},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.602400004863739},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4936999976634979},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4643999934196472},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.3939000070095062},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3797999918460846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754800021648407},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6725000143051147},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.602400004863739},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4936999976634979},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4643999934196472},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43070000410079956},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.3939000070095062},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3756999969482422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3684999942779541},{"id":"https://openalex.org/C91672089","wikidata":"https://www.wikidata.org/wiki/Q29583","display_name":"Fashion design","level":3,"score":0.3346000015735626},{"id":"https://openalex.org/C2989395177","wikidata":"https://www.wikidata.org/wiki/Q12684","display_name":"Fashion industry","level":3,"score":0.3343000113964081},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33149999380111694},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30640000104904175},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27720001339912415}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3460426.3463638","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460426.3463638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.07585","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.07585","pdf_url":"https://arxiv.org/pdf/2105.07585","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.07585","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.07585","pdf_url":"https://arxiv.org/pdf/2105.07585","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1985854669","https://openalex.org/W2027731328","https://openalex.org/W2036479700","https://openalex.org/W2116341502","https://openalex.org/W2171279286","https://openalex.org/W2605350416","https://openalex.org/W2625746539","https://openalex.org/W2742143754","https://openalex.org/W2783272285","https://openalex.org/W2788663865","https://openalex.org/W2886209086","https://openalex.org/W2945827670","https://openalex.org/W2963655167","https://openalex.org/W2963900085","https://openalex.org/W2964044287","https://openalex.org/W2964296635","https://openalex.org/W2964926209","https://openalex.org/W2986515219","https://openalex.org/W3034329572","https://openalex.org/W3045200674","https://openalex.org/W3091993229","https://openalex.org/W3162700561","https://openalex.org/W4297971002"],"related_works":[],"abstract_inverted_index":{"Sequential":[0],"fashion":[1,9,19,31,43,97,168],"recommendation":[2,32,98,169],"is":[3,88],"of":[4,17,39,45,57,76,110,143,176],"great":[5],"significance":[6],"in":[7,35,150],"online":[8,22],"shopping,":[10],"which":[11],"accounts":[12],"for":[13,146,158],"an":[14,28,92],"increasing":[15],"portion":[16],"either":[18],"retailing":[20],"or":[21],"e-commerce.":[23],"The":[24,54],"key":[25],"to":[26,62,72,90,106,122],"building":[27],"effective":[29,93],"sequential":[30,96,167],"model":[33],"lies":[34],"capturing":[36],"two":[37,55,108,165],"types":[38,56,109],"patterns:":[40],"the":[41,48,73,83,114,134,140,147,172],"personal":[42],"preference":[44],"users":[46,77],"and":[47,65,78,94,118,126,153,174],"transitional":[49],"relationships":[50],"between":[51],"adjacent":[52],"items.":[53],"patterns":[58],"are":[59],"usually":[60],"related":[61],"user-item":[63,115],"interaction":[64,116],"item-item":[66,119,159],"transition":[67,120,160],"modeling":[68],"respectively.":[69],"However,":[70],"due":[71],"large":[74],"sets":[75],"items":[79],"as":[80,82],"well":[81],"sparse":[84],"historical":[85],"interactions,":[86],"it":[87],"difficult":[89],"train":[91],"efficient":[95],"model.":[99],"To":[100],"tackle":[101],"these":[102],"problems,":[103],"we":[104,138],"propose":[105,154],"leverage":[107],"global":[111],"graph,":[112,121],"i.e.,":[113],"graph":[117,141],"obtain":[123],"enhanced":[124],"user":[125],"item":[127],"representations":[128],"by":[129],"incorporating":[130],"higher-order":[131],"connections":[132],"over":[133],"graphs.":[135],"In":[136],"addition,":[137],"adopt":[139],"kernel":[142],"LightGCN":[144],"[9]":[145],"information":[148],"propagation":[149],"both":[151],"graphs":[152],"a":[155],"new":[156],"design":[157],"graph.":[161],"Extensive":[162],"experiments":[163],"on":[164],"established":[166],"datasets":[170],"validate":[171],"effectiveness":[173],"efficiency":[175],"our":[177],"approach.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2021-05-24T00:00:00"}