{"id":"https://openalex.org/W4386360169","doi":"https://doi.org/10.1007/s41019-023-00226-7","title":"Combining Graph Contrastive Embedding and Multi-head Cross-Attention Transfer for Cross-Domain Recommendation","display_name":"Combining Graph Contrastive Embedding and Multi-head Cross-Attention Transfer for Cross-Domain Recommendation","publication_year":2023,"publication_date":"2023-09-01","ids":{"openalex":"https://openalex.org/W4386360169","doi":"https://doi.org/10.1007/s41019-023-00226-7"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-023-00226-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-023-00226-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00226-7.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00226-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101422172","display_name":"Shuo Xiao","orcid":"https://orcid.org/0000-0002-0887-9449"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuo Xiao","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104132742","display_name":"Dongqing Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongqing Zhu","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038847215","display_name":"Chaogang Tang","orcid":"https://orcid.org/0000-0002-4471-9856"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaogang Tang","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050408194","display_name":"Zhenzhen Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Huang","raw_affiliation_strings":["Library School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China","School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Library School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221116, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101422172"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":10.4741,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.98227984,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"8","issue":"3","first_page":"247","last_page":"262"},"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":0.9904999732971191,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9455000162124634,"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":0.8809216022491455},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6036819815635681},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5536283254623413},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5345401167869568},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5280702114105225},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5092669725418091},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5032975077629089},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.49259835481643677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48291489481925964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4259377419948578},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3304100036621094},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29449111223220825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8809216022491455},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6036819815635681},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5536283254623413},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5345401167869568},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5280702114105225},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5092669725418091},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5032975077629089},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.49259835481643677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48291489481925964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4259377419948578},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3304100036621094},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29449111223220825},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-023-00226-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-023-00226-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00226-7.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0c13ca2c0f494845aa9e47ff5a21dbd9","is_oa":true,"landing_page_url":"https://doaj.org/article/0c13ca2c0f494845aa9e47ff5a21dbd9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 8, Iss 3, Pp 247-262 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-023-00226-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-023-00226-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00226-7.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3813728118","display_name":null,"funder_award_id":"62071470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7882051287","display_name":null,"funder_award_id":"62271486","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/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386360169.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W163868085","https://openalex.org/W2114079787","https://openalex.org/W2117420919","https://openalex.org/W2605350416","https://openalex.org/W2740920897","https://openalex.org/W2796608345","https://openalex.org/W2896537337","https://openalex.org/W2907206525","https://openalex.org/W2949465136","https://openalex.org/W2955597675","https://openalex.org/W2964159782","https://openalex.org/W2964995401","https://openalex.org/W2984100107","https://openalex.org/W2987219395","https://openalex.org/W2987679642","https://openalex.org/W2996891863","https://openalex.org/W3028156525","https://openalex.org/W3028201915","https://openalex.org/W3035598449","https://openalex.org/W3045200674","https://openalex.org/W3094484861","https://openalex.org/W3094605801","https://openalex.org/W3098400049","https://openalex.org/W3099026360","https://openalex.org/W3102099102","https://openalex.org/W3153325943","https://openalex.org/W3168607063","https://openalex.org/W3173365306","https://openalex.org/W3188301284","https://openalex.org/W3208338073","https://openalex.org/W3209610025","https://openalex.org/W3210938103","https://openalex.org/W3217015614","https://openalex.org/W4220909642","https://openalex.org/W4221159053","https://openalex.org/W4224316819","https://openalex.org/W4226072877","https://openalex.org/W4284666445","https://openalex.org/W4284679479","https://openalex.org/W4306317705","https://openalex.org/W4309869671","https://openalex.org/W4365794605","https://openalex.org/W4367046880","https://openalex.org/W6732743041"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Abstract":[0],"Cross-domain":[1],"recommendation":[2,90,171,192],"(CDR)":[3],"has":[4,182],"become":[5],"an":[6],"important":[7],"research":[8],"direction":[9],"in":[10,64,186],"the":[11,18,65,81,103,144,155,179],"field":[12],"of":[13,83],"recommender":[14],"systems":[15],"due":[16],"to":[17,105,134,146,174],"increasing":[19],"demand":[20],"for":[21,58],"personalized":[22],"recommendations":[23,199],"across":[24],"different":[25],"domains.":[26],"However,":[27],"CDR":[28,161],"faces":[29],"multiple":[30,114],"challenges,":[31,43],"including":[32],"data":[33,85],"sparsity,":[34],"popularity":[35,91,202],"bias,":[36],"and":[37,54,73,89,109,116,138,163,168,190,200],"long-tail":[38,188],"problems.":[39],"To":[40],"address":[41],"these":[42],"we":[44,68,94,123],"propose":[45,95,124],"a":[46,96,125],"novel":[47],"framework":[48,157,181],"that":[49,101,130,165],"combines":[50],"graph":[51],"contrastive":[52,77],"embedding":[53,86],"multi-head":[55,97],"cross-attention":[56,98],"transfer":[57,99],"cross-domain":[59,118,126],"recommendation,":[60],"called":[61],"GCE-MCAT.":[62],"Specifically,":[63],"pre-training":[66],"process,":[67],"generate":[69],"more":[70,147,197],"uniform":[71],"user":[72,107,136,151],"item":[74],"embeddings":[75],"through":[76],"learning,":[78],"effectively":[79,148],"solving":[80],"problem":[82],"inconsistent":[84],"space":[87],"distribution":[88,189],"bias.":[92,203],"Moreover,":[93],"mechanism":[100,129],"allows":[102],"model":[104,145],"extract":[106],"common":[108,135,150],"specific":[110,139],"domain":[111,140],"features":[112,137],"from":[113],"perspectives":[115],"perform":[117],"bidirectional":[119],"knowledge":[120],"transfer.":[121],"Finally,":[122],"feature":[127],"fusion":[128],"dynamically":[131],"assigns":[132],"weights":[133],"features.":[141],"This":[142],"enables":[143],"learn":[149],"interests.":[152],"We":[153],"evaluate":[154],"proposed":[156,180],"on":[158],"three":[159],"real-world":[160],"datasets":[162],"show":[164],"GCE-MCAT":[166],"consistently":[167],"significantly":[169],"improves":[170],"performance":[172],"compared":[173],"state-of-the-art":[175],"methods.":[176],"In":[177],"particular,":[178],"demonstrated":[183],"remarkable":[184],"effectiveness":[185],"addressing":[187],"enhancing":[191],"novelty,":[193],"providing":[194],"users":[195],"with":[196],"diversified":[198],"reducing":[201]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":13}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-10T00:00:00"}