{"id":"https://openalex.org/W4404809948","doi":"https://doi.org/10.1109/tnnls.2024.3500096","title":"Knowledge-Reinforced Cross-Domain Recommendation","display_name":"Knowledge-Reinforced Cross-Domain Recommendation","publication_year":2024,"publication_date":"2024-11-28","ids":{"openalex":"https://openalex.org/W4404809948","doi":"https://doi.org/10.1109/tnnls.2024.3500096","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030341"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3500096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3500096","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ling Huang","orcid":"https://orcid.org/0000-0001-5089-4637"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Huang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5089-4637","affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077777960","display_name":"Xiaodong Huang","orcid":"https://orcid.org/0000-0002-7953-750X"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Dong Huang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112108308","display_name":"Han Zou","orcid":"https://orcid.org/0009-0009-9505-3706"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zou","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006224825","display_name":"Yuefang Gao","orcid":"https://orcid.org/0000-0003-4794-9961"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuefang Gao","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4794-9961","affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076335744","display_name":"Chang\u2010Dong Wang","orcid":"https://orcid.org/0000-0001-5972-559X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Dong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5972-559X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-3491-5968","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78406104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"36","issue":"7","first_page":"12880","last_page":"12894"},"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/T10028","display_name":"Topic Modeling","score":0.9463000297546387,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9175999760627747,"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/domain","display_name":"Domain (mathematical analysis)","score":0.47526639699935913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44674432277679443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11286666989326477}],"concepts":[{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47526639699935913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44674432277679443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11286666989326477},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3500096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3500096","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40030341","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030341","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1200806771","display_name":null,"funder_award_id":"III-2106758","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1797038515","display_name":null,"funder_award_id":"62106079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2644764016","display_name":null,"funder_award_id":"POSE-2346158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3159983421","display_name":null,"funder_award_id":"62276277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6018787573","display_name":null,"funder_award_id":"2020A1515110337","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"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}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2117420919","https://openalex.org/W2583848727","https://openalex.org/W2740605635","https://openalex.org/W2899813732","https://openalex.org/W2949920370","https://openalex.org/W2950275995","https://openalex.org/W2962745591","https://openalex.org/W2965276171","https://openalex.org/W2965499955","https://openalex.org/W2986176093","https://openalex.org/W2987219395","https://openalex.org/W2996891863","https://openalex.org/W3028156525","https://openalex.org/W3029587262","https://openalex.org/W3084675360","https://openalex.org/W3097389344","https://openalex.org/W3132016049","https://openalex.org/W3155450594","https://openalex.org/W3156113941","https://openalex.org/W3156963027","https://openalex.org/W3165548017","https://openalex.org/W3168607063","https://openalex.org/W3197947753","https://openalex.org/W3198015624","https://openalex.org/W3206381175","https://openalex.org/W3209185641","https://openalex.org/W4205525446","https://openalex.org/W4206992809","https://openalex.org/W4212975546","https://openalex.org/W4213230534","https://openalex.org/W4214785886","https://openalex.org/W4220712776","https://openalex.org/W4220770035","https://openalex.org/W4221075437","https://openalex.org/W4283070072","https://openalex.org/W4284666097","https://openalex.org/W4284675146","https://openalex.org/W4284679479","https://openalex.org/W4286986033","https://openalex.org/W4308800355","https://openalex.org/W4309869671","https://openalex.org/W4311591867","https://openalex.org/W4312197993","https://openalex.org/W4313476061","https://openalex.org/W4321480025","https://openalex.org/W4321485412","https://openalex.org/W4367046880","https://openalex.org/W4384774596","https://openalex.org/W4385270188","https://openalex.org/W4386190240","https://openalex.org/W4386729350","https://openalex.org/W4387757693","https://openalex.org/W4387846871","https://openalex.org/W4388601341","https://openalex.org/W4391335174","https://openalex.org/W6678830454","https://openalex.org/W6680451568","https://openalex.org/W6743661861","https://openalex.org/W6748600884","https://openalex.org/W6760698134","https://openalex.org/W6852025238"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Over":[0],"the":[1,13,26,35,48,55,73,76,85,109,113,134,152,159,178,184],"past":[2],"few":[3],"years,":[4],"cross-domain":[5,18,43,93,104],"recommendation":[6,19,94],"has":[7],"gained":[8],"great":[9],"attention":[10],"to":[11,31,46,68,130],"resolve":[12],"cold-start":[14,149],"issue.":[15],"Many":[16],"existing":[17],"methods":[20],"model":[21],"a":[22,70,90,102],"preference":[23],"bridge":[24,47],"between":[25,72,133],"source":[27,74,114,135],"and":[28,60,75,88,115,136,165],"target":[29,77,116,137],"domains":[30,78],"transfer":[32],"preferences":[33],"by":[34,79,107],"overlapping":[36],"users.":[37,150],"However,":[38],"when":[39],"there":[40],"are":[41],"insufficient":[42],"users":[44],"available":[45],"two":[49],"domains,":[50,117],"it":[51],"will":[52],"negatively":[53],"impact":[54],"recommender":[56],"system's":[57],"accuracy":[58],"(ACC)":[59],"performance.":[61],"Therefore,":[62],"in":[63],"this":[64],"article,":[65],"we":[66,100,120,142],"propose":[67,89],"create":[69],"link":[71],"leveraging":[80],"knowledge":[81],"graph":[82],"(KG)":[83],"as":[84],"auxiliary":[86],"information,":[87],"novel":[91],"knowledge-reinforced":[92],"(KR-CDR)":[95],"method.":[96],"First":[97],"of":[98],"all,":[99],"construct":[101],"new":[103],"KG":[105],"(CDKG)":[106],"using":[108],"KGs":[110],"that":[111,177],"represent":[112],"respectively.":[118],"Additionally,":[119],"employ":[121],"reinforcement":[122],"learning":[123,127],"(RL)":[124],"with":[125],"meta":[126],"on":[128,172],"CDKG":[129],"discover":[131],"meta-paths":[132],"domains.":[138],"With":[139],"these":[140],"meta-paths,":[141],"obtain":[143],"meta-path":[144,161],"aggregated":[145,162],"embedding":[146,163,167],"vectors":[147],"for":[148],"Ultimately,":[151],"predicted":[153],"rating":[154],"can":[155],"be":[156],"acquired":[157],"from":[158],"user":[160],"vector":[164],"item":[166],"vector.":[168],"Experiments":[169],"carried":[170],"out":[171],"five":[173],"real-world":[174],"datasets":[175],"show":[176],"proposed":[179],"method":[180],"performs":[181],"better":[182],"than":[183],"state-of-the-art":[185],"methods.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}