{"id":"https://openalex.org/W4318473325","doi":"https://doi.org/10.1142/s0219649222500988","title":"Explainable Recommendation Based on Weighted Knowledge Graphs and Graph Convolutional Networks","display_name":"Explainable Recommendation Based on Weighted Knowledge Graphs and Graph Convolutional Networks","publication_year":2023,"publication_date":"2023-01-30","ids":{"openalex":"https://openalex.org/W4318473325","doi":"https://doi.org/10.1142/s0219649222500988"},"language":"en","primary_location":{"id":"doi:10.1142/s0219649222500988","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0219649222500988","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-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/A5073128423","display_name":"Rima Boughareb","orcid":"https://orcid.org/0000-0001-9863-3196"},"institutions":[{"id":"https://openalex.org/I108754898","display_name":"Badji Mokhtar University","ror":"https://ror.org/03sf55932","country_code":"DZ","type":"education","lineage":["https://openalex.org/I108754898"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Rima Boughareb","raw_affiliation_strings":["Department of Computer Science, Badji Mokhtar - Annaba University, Annaba, Algeria","LabGED Laboratory, Badji Mokhtar - Annaba University, P.O. Box 12, Annaba, Algeria"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Badji Mokhtar - Annaba University, Annaba, Algeria","institution_ids":["https://openalex.org/I108754898"]},{"raw_affiliation_string":"LabGED Laboratory, Badji Mokhtar - Annaba University, P.O. Box 12, Annaba, Algeria","institution_ids":["https://openalex.org/I108754898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104187076","display_name":"Hassina Seridi","orcid":null},"institutions":[{"id":"https://openalex.org/I108754898","display_name":"Badji Mokhtar University","ror":"https://ror.org/03sf55932","country_code":"DZ","type":"education","lineage":["https://openalex.org/I108754898"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Hassina Seridi","raw_affiliation_strings":["Department of Computer Science, Badji Mokhtar - Annaba University, Annaba, Algeria","LabGED Laboratory, Badji Mokhtar - Annaba University, P.O. Box 12, Annaba, Algeria"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Badji Mokhtar - Annaba University, Annaba, Algeria","institution_ids":["https://openalex.org/I108754898"]},{"raw_affiliation_string":"LabGED Laboratory, Badji Mokhtar - Annaba University, P.O. Box 12, Annaba, Algeria","institution_ids":["https://openalex.org/I108754898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029359883","display_name":"Samia Beldjoudi","orcid":null},"institutions":[{"id":"https://openalex.org/I108754898","display_name":"Badji Mokhtar University","ror":"https://ror.org/03sf55932","country_code":"DZ","type":"education","lineage":["https://openalex.org/I108754898"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Samia Beldjoudi","raw_affiliation_strings":["LabGED Laboratory, Badji Mokhtar - Annaba University, P.O. Box 12, Annaba, Algeria","The Higher School of Industrial Technologies, Badji Mokhtar - Annaba University, Annaba, Algeria"],"affiliations":[{"raw_affiliation_string":"LabGED Laboratory, Badji Mokhtar - Annaba University, P.O. Box 12, Annaba, Algeria","institution_ids":["https://openalex.org/I108754898"]},{"raw_affiliation_string":"The Higher School of Industrial Technologies, Badji Mokhtar - Annaba University, Annaba, Algeria","institution_ids":["https://openalex.org/I108754898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073128423"],"corresponding_institution_ids":["https://openalex.org/I108754898"],"apc_list":null,"apc_paid":null,"fwci":2.2944,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89559039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"22","issue":"03","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":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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":0.9919000267982483,"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":0.8270773887634277},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.682923436164856},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.622466504573822},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5842874050140381},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5658969283103943},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5485931634902954},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.5456652045249939},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.513738751411438},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.45372912287712097},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4436964690685272},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4322817325592041},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36443135142326355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2931582033634186},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24851655960083008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8270773887634277},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.682923436164856},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.622466504573822},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5842874050140381},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5658969283103943},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5485931634902954},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.5456652045249939},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.513738751411438},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.45372912287712097},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4436964690685272},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4322817325592041},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36443135142326355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2931582033634186},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24851655960083008},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219649222500988","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0219649222500988","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:jikmxx:v:22:y:2023:i:03:n:s0219649222500988","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219649222500988","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1426956448","https://openalex.org/W2041741035","https://openalex.org/W2054141820","https://openalex.org/W2064675550","https://openalex.org/W2142535891","https://openalex.org/W2154851992","https://openalex.org/W2241862190","https://openalex.org/W2532651260","https://openalex.org/W2560294161","https://openalex.org/W2581887665","https://openalex.org/W2608239929","https://openalex.org/W2801992635","https://openalex.org/W2804452400","https://openalex.org/W2807021761","https://openalex.org/W2911778742","https://openalex.org/W2912664727","https://openalex.org/W2913560138","https://openalex.org/W2919353283","https://openalex.org/W2941145756","https://openalex.org/W2945623882","https://openalex.org/W2962756421","https://openalex.org/W2963241486","https://openalex.org/W2963601856","https://openalex.org/W2963911286","https://openalex.org/W2975266026","https://openalex.org/W3040301022","https://openalex.org/W3082334751","https://openalex.org/W3091993229","https://openalex.org/W3092205855","https://openalex.org/W3092530991","https://openalex.org/W3100848837","https://openalex.org/W3104097132","https://openalex.org/W3106439716","https://openalex.org/W3163731277","https://openalex.org/W3167434385","https://openalex.org/W3173914155","https://openalex.org/W3209451568","https://openalex.org/W3209485964","https://openalex.org/W3213337333","https://openalex.org/W4205171160","https://openalex.org/W4237441377","https://openalex.org/W4251470661","https://openalex.org/W4280618189","https://openalex.org/W4290943386","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W2883883483","https://openalex.org/W4224312241","https://openalex.org/W4361732320","https://openalex.org/W1798708714","https://openalex.org/W3189518611","https://openalex.org/W69579340","https://openalex.org/W2002418671","https://openalex.org/W4318148049","https://openalex.org/W3155883059","https://openalex.org/W4297899248"],"abstract_inverted_index":{"Knowledge":[0],"Graphs":[1],"(KGs)":[2],"have":[3,7],"been":[4],"shown":[5],"to":[6,10,54,69,106,152],"great":[8],"potential":[9,56],"provide":[11],"rich":[12],"and":[13,34,48,141],"highly":[14],"defined":[15],"structured":[16,147],"data":[17],"about":[18],"Recommender":[19],"Systems":[20],"(RSs)":[21],"items.":[22],"This":[23],"paper":[24],"introduces":[25],"Explain-":[26],"KGCN,":[27],"an":[28],"Explainable":[29],"RS":[30],"based":[31,60,95],"on":[32,61,82,96,116],"KGs":[33,151],"Graph":[35],"Convolutional":[36],"Networks":[37],"(GCNs).":[38],"The":[39],"system":[40,105,131],"emphasises":[41],"the":[42,87,90,100,104,108,121,126,130],"importance":[43],"of":[44,51,77,110,129,139],"semantic":[45,84],"information":[46,148],"characterisation":[47],"high-order":[49],"connectivity":[50],"message":[52],"passing":[53],"explore":[55],"user":[57],"preferences.":[58],"Thus,":[59],"a":[62,75],"relation-specific":[63,78,91],"neighbourhood":[64],"aggregation":[65],"function,":[66],"it":[67],"aims":[68],"generate":[70],"for":[71,120],"each":[72,83],"given":[73],"item":[74],"set":[76],"embeddings":[79],"that":[80],"depend":[81],"relation":[85],"in":[86,137],"KG.":[88],"Specifically,":[89],"aggregator":[92],"discriminates":[93],"neighbours":[94],"their":[97],"relationship":[98],"with":[99],"target":[101],"node,":[102],"allowing":[103],"model":[107],"semantics":[109],"various":[111],"relationships":[112],"explicitly.":[113],"Experiments":[114],"conducted":[115],"two":[117],"real-world":[118],"datasets":[119],"top-K":[122],"recommendation":[123,154],"task":[124],"demonstrate":[125],"state-of-the-art":[127],"performance":[128,136],"proposed.":[132],"Besides":[133],"improving":[134],"predictive":[135],"terms":[138],"precision":[140],"recall,":[142],"Explain-KGCN":[143],"fully":[144],"exploits":[145],"wealthy":[146],"provided":[149],"by":[150],"offer":[153],"explanation.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
