{"id":"https://openalex.org/W4416381289","doi":"https://doi.org/10.1109/access.2025.3631801","title":"Interaction-Grounded Semantic Graph Refinement for LLM-Based Recommendation","display_name":"Interaction-Grounded Semantic Graph Refinement for LLM-Based Recommendation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416381289","doi":"https://doi.org/10.1109/access.2025.3631801"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3631801","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631801","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.2025.3631801","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113915043","display_name":"Wooseok Jeong","orcid":"https://orcid.org/0009-0007-1931-4076"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wooseok Jeong","raw_affiliation_strings":["Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0007-1931-4076","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Young-Jin Kim","orcid":"https://orcid.org/0009-0003-1068-7176"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Jin Kim","raw_affiliation_strings":["Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0003-1068-7176","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113380636","display_name":"H Koo","orcid":"https://orcid.org/0009-0001-1269-1991"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hae-Yoon Koo","raw_affiliation_strings":["Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0001-1269-1991","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111895026","display_name":"Jimyeung Seo","orcid":"https://orcid.org/0009-0009-0416-6861"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jimyeung Seo","raw_affiliation_strings":["Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0009-0416-6861","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027324634","display_name":"Jinho Choi","orcid":"https://orcid.org/0009-0006-4482-2147"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinho Choi","raw_affiliation_strings":["Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0006-4482-2147","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040810644","display_name":"Byungkook Oh","orcid":"https://orcid.org/0000-0002-6273-3184"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byungkook Oh","raw_affiliation_strings":["Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6273-3184","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":0.4475291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"194229","last_page":"194244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.6518999934196472,"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":0.6518999934196472,"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":0.07109999656677246,"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":0.05530000105500221,"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/semantic-similarity","display_name":"Semantic similarity","score":0.7361000180244446},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5070000290870667},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4771000146865845},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.44350001215934753},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43849998712539673},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.3682999908924103},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.35920000076293945},{"id":"https://openalex.org/keywords/semantic-grid","display_name":"Semantic grid","score":0.3262999951839447},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.32269999384880066}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8575000166893005},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7361000180244446},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5863999724388123},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5070000290870667},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4771000146865845},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.44350001215934753},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43849998712539673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40209999680519104},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37119999527931213},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.35920000076293945},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.3262999951839447},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.31610000133514404},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.3147999942302704},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C187029079","wikidata":"https://www.wikidata.org/wiki/Q958679","display_name":"Cognitive reframing","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C173862523","wikidata":"https://www.wikidata.org/wiki/Q5421270","display_name":"Explicit semantic analysis","level":5,"score":0.2930999994277954},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.2874000072479248},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C37926939","wikidata":"https://www.wikidata.org/wiki/Q7449061","display_name":"Semantic equivalence","level":4,"score":0.2736999988555908},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.2667999863624573},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.25600001215934753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3631801","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631801","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:594cc815ac7a4af29506bc638171b81b","is_oa":true,"landing_page_url":"https://doaj.org/article/594cc815ac7a4af29506bc638171b81b","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 194229-194244 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3631801","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631801","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":[{"id":"https://openalex.org/G2710761961","display_name":null,"funder_award_id":"RS-2024-00457435","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"recently":[5],"demonstrated":[6],"remarkable":[7],"potential":[8,45],"for":[9,89],"recommendation":[10,176],"by":[11,63,110],"reframing":[12],"it":[13,130],"as":[14],"a":[15,124,132],"text-generation":[16],"task.":[17],"Recent":[18],"LLM-based":[19,120],"approaches":[20],"apply":[21],"GNNs":[22],"to":[23,37,48,52],"capture":[24,54],"higher-order":[25,39,158],"collaborative":[26,161],"patterns":[27,41],"from":[28,42],"interaction":[29,154],"graphs":[30,51],"but":[31],"handle":[32],"textual":[33,73],"data":[34,181],"separately,":[35],"failing":[36],"extract":[38],"semantic":[40,50,56,81,108,126,139,152,159],"text.":[43],"One":[44],"solution":[46],"is":[47],"construct":[49],"better":[53],"such":[55],"relationships.":[57],"However,":[58],"naively":[59],"selecting":[60],"top-k":[61,125],"connections":[62,113],"profile":[64,121],"similarity":[65,74],"introduces":[66],"significant":[67],"challenges:":[68],"1)":[69],"preference":[70],"gap":[71],"between":[72],"and":[75,79,153,160,174,180],"actual":[76],"user":[77],"behavior,":[78],"2)":[80],"distortion":[82],"where":[83],"identical":[84],"attributes":[85],"carry":[86],"different":[87],"meanings":[88],"users":[90],"versus":[91],"items.":[92],"To":[93],"overcome":[94],"these":[95],"issues,":[96],"we":[97],"propose":[98],"an":[99,106,119],"Interaction-Grounded":[100],"Semantic":[101],"Recommender":[102],"(IGSRec),":[103],"which":[104],"constructs":[105,123],"interaction-grounded":[107],"graph":[109],"aligning":[111],"profile-based":[112],"with":[114],"observed":[115],"interactions.":[116,144],"IGSRec":[117,156],"employs":[118],"generator,":[122],"graph,":[127],"then":[128],"refines":[129],"using":[131],"learnable":[133],"scoring":[134],"function":[135],"that":[136],"identifies":[137],"relevant":[138],"neighborhoods":[140],"conditioned":[141],"on":[142,164],"user-item":[143],"Through":[145],"dual-graph":[146],"propagation":[147],"over":[148],"both":[149,172],"the":[150],"refined":[151],"graphs,":[155],"captures":[157],"patterns.":[162],"Experiments":[163],"Amazon":[165],"Review":[166],"benchmarks":[167],"demonstrate":[168],"state-of-the-art":[169],"performance":[170],"in":[171],"direct":[173],"sequential":[175],"tasks.":[177],"Our":[178],"code":[179],"are":[182],"publicly":[183],"available":[184],"at":[185],"https://github.com/oseoko/IGSRec/.":[186]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-12T00:00:00"}
