{"id":"https://openalex.org/W4389247588","doi":"https://doi.org/10.3233/faia230887","title":"A Recommendation Model Fusing Knowledge Graph Convolutional Networks and Social Relationships","display_name":"A Recommendation Model Fusing Knowledge Graph Convolutional Networks and Social Relationships","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389247588","doi":"https://doi.org/10.3233/faia230887"},"language":"en","primary_location":{"id":"doi:10.3233/faia230887","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230887","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230887","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230887","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100600532","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0003-0404-0707"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Dalian Polytechnic University, School of Information Science and Engineering, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, School of Information Science and Engineering, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078016813","display_name":"Lan Shen","orcid":"https://orcid.org/0000-0001-6868-7986"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lan Shen","raw_affiliation_strings":["Dalian Polytechnic University, School of Information Science and Engineering, Dalian, Liaoning, China","Dalian Polytechnic University, School of Information Science and Engineering;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, School of Information Science and Engineering, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I88372448"]},{"raw_affiliation_string":"Dalian Polytechnic University, School of Information Science and Engineering;","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023609219","display_name":"Yanhong Jing","orcid":"https://orcid.org/0009-0003-0873-2556"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhong Jing","raw_affiliation_strings":["Dalian Polytechnic University, School of Information Science and Engineering, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, School of Information Science and Engineering, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106856666","display_name":"Chengxi Gao","orcid":"https://orcid.org/0000-0003-1386-7394"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxi Gao","raw_affiliation_strings":["Dalian Polytechnic University, School of Information Science and Engineering, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, School of Information Science and Engineering, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I88372448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078016813"],"corresponding_institution_ids":["https://openalex.org/I88372448"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46385969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9660999774932861,"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":0.9649999737739563,"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":0.7914962768554688},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5875921249389648},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5707944631576538},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5001997947692871},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4959321916103363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48301753401756287},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.479289710521698},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4652481973171234},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4621610641479492},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43691951036453247},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4205775260925293},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4146055579185486},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4145370423793793},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3936891257762909},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21447893977165222},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14212405681610107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7914962768554688},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5875921249389648},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5707944631576538},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5001997947692871},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4959321916103363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48301753401756287},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.479289710521698},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4652481973171234},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4621610641479492},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43691951036453247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4205775260925293},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4146055579185486},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4145370423793793},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3936891257762909},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21447893977165222},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14212405681610107},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230887","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230887","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230887","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230887","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230887","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230887","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389247588.pdf","grobid_xml":"https://content.openalex.org/works/W4389247588.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W74439177","https://openalex.org/W2164998137","https://openalex.org/W2784476247","https://openalex.org/W2792839191","https://openalex.org/W2912644106","https://openalex.org/W2914633690","https://openalex.org/W2919995112","https://openalex.org/W3004578093","https://openalex.org/W3040301022","https://openalex.org/W3106439716","https://openalex.org/W3123823653","https://openalex.org/W3155496675"],"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/W2786094008","https://openalex.org/W3131501806","https://openalex.org/W2799683370","https://openalex.org/W2807745940"],"abstract_inverted_index":{"The":[0,106],"knowledge":[1,17,59],"graph\u2019s":[2],"rich":[3],"semantic":[4],"information":[5],"can":[6],"solve":[7,64],"some":[8],"of":[9,28,34],"the":[10,25,31,69,76,81,87,122,132],"issues":[11],"with":[12,86],"conventional":[13],"recommendation.":[14],"Most":[15],"current":[16],"graph-based":[18],"recommendation":[19,39,52,108],"models":[20],"solely":[21],"take":[22],"into":[23],"account":[24],"prospective":[26],"characteristics":[27],"items,":[29],"ignoring":[30],"supporting":[32],"function":[33],"user":[35,88,91,104],"potential":[36],"features":[37],"for":[38],"systems,":[40],"despite":[41],"approaches":[42],"like":[43],"data":[44],"sparsity":[45],"and":[46,58,94,102,128],"cold":[47],"start.":[48],"We":[49],"suggest":[50],"a":[51],"model":[53,71,109,133],"that":[54,118],"incorporates":[55],"social":[56],"relationships":[57],"graph":[60],"convolutional":[61],"networks":[62],"to":[63,74,98,115,130],"this":[65],"issue.":[66],"Once":[67],"more,":[68],"KGCN":[70],"is":[72,84],"utilized":[73],"get":[75],"item":[77,95],"feature":[78,89,96],"matrix.":[79],"Next,":[80],"multilayer":[82],"perceptron":[83],"fed":[85],"vector,":[90],"embedding":[92],"representation,":[93],"vector":[97],"determine":[99],"projected":[100],"scores":[101],"provide":[103],"recommendations.":[105],"proposed":[107],"outperforms":[110],"other":[111],"benchmark":[112],"models,":[113],"according":[114],"experimental":[116],"results":[117],"were":[119],"done":[120],"on":[121],"publicly":[123],"accessible":[124],"datasets":[125],"CiaoDVD,":[126],"Epinions,":[127],"FilmTrust":[129],"verify":[131],"performance.":[134]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
