{"id":"https://openalex.org/W4387678080","doi":"https://doi.org/10.1109/icac57885.2023.10275306","title":"Cross-Intent Graph Contrastive Learning for Fashion Sequential Recommendation","display_name":"Cross-Intent Graph Contrastive Learning for Fashion Sequential Recommendation","publication_year":2023,"publication_date":"2023-08-30","ids":{"openalex":"https://openalex.org/W4387678080","doi":"https://doi.org/10.1109/icac57885.2023.10275306"},"language":"en","primary_location":{"id":"doi:10.1109/icac57885.2023.10275306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icac57885.2023.10275306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 28th International Conference on Automation and Computing (ICAC)","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/A5025220345","display_name":"Rucong Xu","orcid":"https://orcid.org/0000-0003-3872-2255"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rucong Xu","raw_affiliation_strings":["Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China,Shenzhen,China,518110"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China,Shenzhen,China,518110","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358528","display_name":"Jianfeng Wang","orcid":"https://orcid.org/0000-0003-3080-6657"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Wang","raw_affiliation_strings":["School of Software, Taiyuan University of Technology,Taiyuan,China,030002"],"affiliations":[{"raw_affiliation_string":"School of Software, Taiyuan University of Technology,Taiyuan,China,030002","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101793983","display_name":"Yun Li","orcid":"https://orcid.org/0000-0002-7628-0358"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China,Shenzhen,China,518110"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China,Shenzhen,China,518110","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025220345"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3767,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85765628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8267373442649841},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.61368727684021},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5904291868209839},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47827279567718506},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.475872665643692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3817157447338104},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33094173669815063},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32750529050827026},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1844158172607422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8267373442649841},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.61368727684021},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5904291868209839},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47827279567718506},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.475872665643692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3817157447338104},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33094173669815063},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32750529050827026},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1844158172607422},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/icac57885.2023.10275306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icac57885.2023.10275306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 28th International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1496464745","display_name":null,"funder_award_id":"202203021222096","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"},{"id":"https://openalex.org/G2341518610","display_name":null,"funder_award_id":"2021B1515120078","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6756071892","display_name":null,"funder_award_id":"92270105","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1530276735","https://openalex.org/W1810943226","https://openalex.org/W2027731328","https://openalex.org/W2040367556","https://openalex.org/W2042281163","https://openalex.org/W2140310134","https://openalex.org/W2145360759","https://openalex.org/W2152790380","https://openalex.org/W2159094788","https://openalex.org/W2171279286","https://openalex.org/W2462723856","https://openalex.org/W2510184840","https://openalex.org/W2596285588","https://openalex.org/W2596352504","https://openalex.org/W2745534091","https://openalex.org/W2783272285","https://openalex.org/W2899457523","https://openalex.org/W2900841426","https://openalex.org/W2946617802","https://openalex.org/W2964296635","https://openalex.org/W2989395196","https://openalex.org/W2997261254","https://openalex.org/W3034329572","https://openalex.org/W3045200674","https://openalex.org/W3101707147","https://openalex.org/W3130481949","https://openalex.org/W3163327183","https://openalex.org/W3197899028","https://openalex.org/W4281747803","https://openalex.org/W4299286960","https://openalex.org/W4312599622","https://openalex.org/W6638273328","https://openalex.org/W6680830989","https://openalex.org/W6682948231","https://openalex.org/W6692935382","https://openalex.org/W6848350815"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1],"in":[2],"e-commerce":[3],"seeks":[4],"to":[5,8,29],"recommend":[6],"items":[7],"users":[9],"based":[10],"on":[11,59,111],"their":[12],"past":[13],"purchase":[14,46,63],"preferences":[15],"and":[16,36,56,70,122],"has":[17],"received":[18],"much":[19],"research":[20],"attention.":[21],"However,":[22],"most":[23],"approaches":[24],"are":[25],"so":[26],"far":[27],"restricted":[28],"modeling":[30],"the":[31,44,54,60,67,100,120],"user's":[32,45,61],"long-term":[33,55,69],"intent":[34,38],"(user-to-item)":[35],"short-term":[37,57,71],"(item-to-item)":[39],"separately,":[40],"which":[41],"may":[42],"extract":[43],"interest":[47],"but":[48],"disregard":[49],"possible":[50],"synergistic":[51],"interplay":[52],"between":[53],"intents":[58],"overall":[62],"interest.":[64],"To":[65],"balance":[66],"users'":[68],"intents,":[72],"this":[73,106],"paper":[74],"develops":[75],"a":[76],"cross-intent":[77,125],"graph":[78,86,126],"contrastive":[79,127],"learning":[80],"framework.":[81],"By":[82],"encouraging":[83],"alignment":[84],"of":[85,99,124],"network":[87],"representations":[88],"among":[89],"multiple":[90],"intentions,":[91],"we":[92],"capture":[93],"complementary":[94],"information":[95],"from":[96],"different":[97],"intentions":[98],"same":[101],"user.":[102],"We":[103],"extensively":[104],"evaluate":[105],"framework":[107],"by":[108],"conducting":[109],"experiments":[110],"two":[112],"publicly":[113],"available":[114],"fashion":[115],"datasets.":[116],"The":[117],"results":[118],"demonstrate":[119],"effectiveness":[121],"efficiency":[123],"learning.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}