{"id":"https://openalex.org/W4399377914","doi":"https://doi.org/10.1109/tcss.2024.3394701","title":"Contextual Semantics Interaction Graph Embedding Learning for Recommender Systems","display_name":"Contextual Semantics Interaction Graph Embedding Learning for Recommender Systems","publication_year":2024,"publication_date":"2024-06-05","ids":{"openalex":"https://openalex.org/W4399377914","doi":"https://doi.org/10.1109/tcss.2024.3394701"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3394701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3394701","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","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/A5043369461","display_name":"Shiyu Zhao","orcid":"https://orcid.org/0009-0002-3323-5124"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Department of Information Science, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-3323-5124","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Department of Information Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070956153","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-6650-6790"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Department of Information Science, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6650-6790","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Department of Information Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013536349","display_name":"Mengran Li","orcid":"https://orcid.org/0000-0001-7540-530X"},"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":"Mengran Li","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-7540-530X","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027030083","display_name":"Xinglin Piao","orcid":"https://orcid.org/0000-0003-3774-5789"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinglin Piao","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Department of Information Science, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3774-5789","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Department of Information Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Department of Information Science, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3121-1823","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Department of Information Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6405,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91637039,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":"5","first_page":"6333","last_page":"6346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9890999794006348,"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":0.9890999794006348,"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":0.9578999876976013,"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":0.9014000296592712,"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/recommender-system","display_name":"Recommender system","score":0.7672115564346313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6909913420677185},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6521815061569214},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6060971021652222},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4775577187538147},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4262320399284363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4185671806335449},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33613312244415283},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3294450342655182},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.26902395486831665}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7672115564346313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6909913420677185},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6521815061569214},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6060971021652222},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4775577187538147},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4262320399284363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4185671806335449},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33613312244415283},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3294450342655182},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.26902395486831665}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3394701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3394701","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2392307573","display_name":"\u9762\u5411\u4ea4\u901a\u9884\u6d4b\u7684\u8d85\u56fe\u6df1\u5ea6\u7f51\u7edc\u6a21\u578b\u7814\u7a76\u53ca\u5e94\u7528","funder_award_id":"62072015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2014313807","https://openalex.org/W2027731328","https://openalex.org/W2042281163","https://openalex.org/W2110953678","https://openalex.org/W2147614625","https://openalex.org/W2219888463","https://openalex.org/W2605350416","https://openalex.org/W2802187397","https://openalex.org/W2945827670","https://openalex.org/W2946687519","https://openalex.org/W2950166131","https://openalex.org/W2995416740","https://openalex.org/W3003372423","https://openalex.org/W3044311607","https://openalex.org/W3045200674","https://openalex.org/W3082291914","https://openalex.org/W3089046133","https://openalex.org/W3094605801","https://openalex.org/W3095746859","https://openalex.org/W3155496675","https://openalex.org/W3170682786","https://openalex.org/W3186240982","https://openalex.org/W3199755688","https://openalex.org/W4205390421","https://openalex.org/W4220818090","https://openalex.org/W4220909642","https://openalex.org/W4221023051","https://openalex.org/W4223982309","https://openalex.org/W4224983022","https://openalex.org/W4225110281","https://openalex.org/W4284666445","https://openalex.org/W4289433255","https://openalex.org/W4366590125","https://openalex.org/W4376466686","https://openalex.org/W4379382506","https://openalex.org/W4385627127","https://openalex.org/W6680830989","https://openalex.org/W6795754764","https://openalex.org/W6844194202","https://openalex.org/W6850270101"],"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/W2932872266"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"have":[2],"become":[3],"an":[4],"indispensable":[5],"tool":[6],"in":[7,50],"today's":[8],"digital":[9],"age,":[10],"significantly":[11],"enhancing":[12],"user":[13,112],"engagement":[14],"on":[15],"various":[16],"online":[17],"platforms":[18],"by":[19,35],"curating":[20],"personalized":[21],"item":[22,114],"recommendations":[23],"tailored":[24],"to":[25,60],"individual":[26],"preferences.":[27],"While":[28],"the":[29,36,52,69,125],"field":[30],"has":[31],"long":[32],"been":[33],"dominated":[34],"collaborative":[37],"filtering":[38],"technique,":[39],"which":[40],"primarily":[41],"leverages":[42],"user\u2013item":[43],"interaction":[44,72],"data,":[45],"it":[46],"often":[47],"falls":[48],"short":[49],"encapsulating":[51],"rich":[53],"contextual":[54,70,100],"intricacies":[55],"and":[56,98,113,142],"evolving":[57,99],"dynamics":[58],"inherent":[59],"these":[61,128],"interactions.":[62],"Recognizing":[63],"this":[64],"limitation,":[65],"our":[66,117],"research":[67],"introduces":[68],"semantic":[71],"graph":[73,88],"embedding":[74],"(CSI-GE)":[75],"method.":[76],"This":[77],"advanced":[78],"model":[79],"incorporates":[80],"a":[81,86,92,109],"dynamic":[82],"hop":[83],"window":[84],"within":[85],"multilayer":[87],"convolutional":[89],"network,":[90],"ensuring":[91],"comprehensive":[93],"extraction":[94],"of":[95,111,127],"both":[96],"immediate":[97],"features.":[101],"By":[102],"amalgamating":[103],"self-supervised":[104],"contrastive":[105],"learning,":[106],"we":[107],"achieve":[108],"refinement":[110],"embeddings.":[115,129],"Furthermore,":[116],"innovative":[118],"variance\u2013invariance\u2013covariance":[119],"(VIC)":[120],"regularization-based":[121],"loss":[122],"function":[123],"fortifies":[124],"robustness":[126],"Through":[130],"rigorous":[131],"testing,":[132],"CSI-GE":[133],"consistently":[134],"outperformed":[135],"contemporary":[136],"methods,":[137],"underscoring":[138],"its":[139],"superior":[140],"accuracy":[141],"stability.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}