{"id":"https://openalex.org/W4414630941","doi":"https://doi.org/10.1109/access.2025.3616206","title":"BiTG4Rec: Bidirectional Transformer Graphs for Sequential-Social Recommendation","display_name":"BiTG4Rec: Bidirectional Transformer Graphs for Sequential-Social Recommendation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414630941","doi":"https://doi.org/10.1109/access.2025.3616206"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3616206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3616206","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3616206","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049048911","display_name":"Nikorn Kannikaklang","orcid":"https://orcid.org/0009-0003-9966-3524"},"institutions":[{"id":"https://openalex.org/I4210094798","display_name":"Rajamangala University of Technology Krungthep","ror":"https://ror.org/00wcxq223","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210094798"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Nikorn Kannikaklang","raw_affiliation_strings":["Faculty of Business Administration, Rajamangala University of Technology Krungthep, Bangkok, Thailand","Major of Information Technology and Digital Business, Faculty of Business Administration, Rajamangala University of Technology Krungthep, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0009-0003-9966-3524","affiliations":[{"raw_affiliation_string":"Faculty of Business Administration, Rajamangala University of Technology Krungthep, Bangkok, Thailand","institution_ids":["https://openalex.org/I4210094798"]},{"raw_affiliation_string":"Major of Information Technology and Digital Business, Faculty of Business Administration, Rajamangala University of Technology Krungthep, Bangkok, Thailand","institution_ids":["https://openalex.org/I4210094798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000400370","display_name":"Sartra Wongthanavasu","orcid":"https://orcid.org/0000-0002-4689-3006"},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sartra Wongthanavasu","raw_affiliation_strings":["College of Computing, Khon Kaen University, Khon Kaen, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-4689-3006","affiliations":[{"raw_affiliation_string":"College of Computing, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049048911"],"corresponding_institution_ids":["https://openalex.org/I4210094798"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37269272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"175190","last_page":"175211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T12488","display_name":"Mental Health via Writing","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9836999773979187,"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/graph","display_name":"Graph","score":0.5349000096321106},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5164999961853027},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5006999969482422},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4009999930858612},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.3540000021457672},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.2718000113964081}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8804000020027161},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5349000096321106},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5164999961853027},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43459999561309814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4262000024318695},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3896999955177307},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.3540000021457672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3068000078201294},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.28139999508857727},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.262800008058548},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2599000036716461}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3616206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3616206","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:82980734fd5c48f383f2dbb032f7e8fe","is_oa":true,"landing_page_url":"https://doaj.org/article/82980734fd5c48f383f2dbb032f7e8fe","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":"IEEE Access, Vol 13, Pp 175190-175211 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3616206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3616206","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Sequential-social":[0],"recommendation":[1,162],"systems":[2],"are":[3],"essential":[4],"for":[5,53,160],"understanding":[6],"users\u2019":[7],"evolving":[8],"interests":[9],"and":[10,39,64,74,112,141],"predicting":[11],"their":[12],"future":[13],"behaviors.":[14],"While":[15],"existing":[16],"methods":[17],"employing":[18],"bidirectional":[19,37,78],"graph":[20],"modeling":[21],"have":[22],"shown":[23],"promising":[24],"results":[25],"in":[26,34],"capturing":[27],"user":[28,42,70],"interactions,":[29],"they":[30],"face":[31],"significant":[32],"challenges":[33],"effectively":[35],"leveraging":[36],"information":[38],"addressing":[40],"dynamic":[41,69],"preferences.":[43,125,143],"To":[44,126],"overcome":[45],"these":[46,128],"limitations,":[47],"we":[48,131],"propose":[49],"Bidirectional":[50,88,101,115],"Transformer":[51],"Graphs":[52],"Sequential-Social":[54],"Recommendation":[55],"(BiTG4Rec),":[56],"a":[57,87,100,114,133],"novel":[58],"framework":[59],"that":[60,94,107,122,136,151],"integrates":[61,138],"both":[62],"supervised":[63],"self-supervised":[65],"learning":[66],"to":[67],"analyze":[68],"preferences":[71],"at":[72],"sequential":[73,97,110],"social":[75,124,142],"levels":[76],"through":[77],"graphs.":[79],"Our":[80],"approach":[81],"comprises":[82],"three":[83],"core":[84],"components:":[85],"(1)":[86],"Dynamic":[89,102],"Graph":[90,103,117],"Convolutional":[91],"Network":[92,105],"(BiDGCN)":[93],"models":[95],"long-term":[96],"preferences,":[98,111],"(2)":[99],"Attention":[104],"(BiDGAT)":[106],"captures":[108],"short-term":[109],"(3)":[113],"Hyperbolic":[116],"Contrastive":[118],"Learning":[119],"module":[120],"(BiHGCL)":[121],"extracts":[123],"unify":[127],"diverse":[129],"signals,":[130],"introduce":[132],"TransformerGated":[134],"mechanism":[135],"dynamically":[137],"long-term,":[139],"short-term,":[140],"Extensive":[144],"experiments":[145],"on":[146],"multiple":[147],"real-world":[148],"datasets":[149],"demonstrate":[150],"BiTG4Rec":[152],"consistently":[153],"outperforms":[154],"state-of-the-art":[155],"methods,":[156],"validating":[157],"its":[158],"effectiveness":[159],"sequential-social":[161],"tasks.":[163]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}