{"id":"https://openalex.org/W7154715667","doi":"https://doi.org/10.1145/3774904.3792148","title":"Large Language Models-Enhanced Semantic Diffusion for User-Centric Recommendation","display_name":"Large Language Models-Enhanced Semantic Diffusion for User-Centric Recommendation","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7154715667","doi":"https://doi.org/10.1145/3774904.3792148"},"language":"en","primary_location":{"id":"doi:10.1145/3774904.3792148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792148","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792148","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020658267","display_name":"Xian Mo","orcid":"https://orcid.org/0000-0002-1249-9190"},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Mo","raw_affiliation_strings":["School of Information Engineering, Ningxia University, Yinchuan, Ningxia, China"],"raw_orcid":"https://orcid.org/0000-0002-1249-9190","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Ningxia University, Yinchuan, Ningxia, China","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123587613","display_name":"Yijun Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Hu","raw_affiliation_strings":["School of Information Engineering, Ningxia University, Yinchuan, Ningxia, China"],"raw_orcid":"https://orcid.org/0009-0002-9256-1835","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Ningxia University, Yinchuan, Ningxia, China","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073684178","display_name":"Jun Pang","orcid":"https://orcid.org/0000-0002-4521-4112"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Jun Pang","raw_affiliation_strings":["Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0002-4521-4112","affiliations":[{"raw_affiliation_string":"Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5834","last_page":"5842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.5699999928474426,"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":0.5699999928474426,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.05400000140070915,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.03799999877810478,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.38760000467300415},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.321399986743927},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.28690001368522644},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.27619999647140503},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.2745000123977661},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.25920000672340393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056999802589417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5274999737739563},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5041999816894531},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3073999881744385},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3774904.3792148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792148","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/68203","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/68203","pdf_url":"https://orbilu.uni.lu/bitstream/10993/68203/1/WWW26.pdf","source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the ACM Web Conference 2026, 5834 - 584 (2026-04); ACM Web Conference 2026, 2026","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792148","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8544646609","display_name":null,"funder_award_id":"62306157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8783486029","display_name":null,"funder_award_id":"2024AAC05011","funder_id":"https://openalex.org/F4320322877","funder_display_name":"Natural Science Foundation of Ningxia Province"},{"id":"https://openalex.org/G8938456724","display_name":null,"funder_award_id":"2025BEH04048","funder_id":"https://openalex.org/F4320334010","funder_display_name":"Key Research and Development Program of Ningxia"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322877","display_name":"Natural Science Foundation of Ningxia Province","ror":null},{"id":"https://openalex.org/F4320334010","display_name":"Key Research and Development Program of Ningxia","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"knowledge":[1,20],"graphs":[2],"have":[3],"been":[4],"utilised":[5],"in":[6],"recommendation":[7],"systems":[8],"to":[9,23,28,63,79,120],"improve":[10],"accuracy":[11],"by":[12],"integrating":[13,70],"item-side":[14,75,105,115],"auxiliary":[15],"information.":[16],"However,":[17],"structural":[18],"user-side":[19,53,72,98,113],"is":[21,129],"difficult":[22],"construct":[24,80],"and":[25,31,76,100,152],"integrate":[26,112],"due":[27],"inherent":[29],"scarcity":[30],"improper":[32],"granularity.":[33],"This":[34,142],"paper":[35],"introduces":[36],"a":[37,122],"graph":[38,128],"contrastive":[39,85,109,140],"learning":[40],"with":[41,74,92,117,177],"Semantic":[42],"transitions-Enhanced":[43],"DIffusion":[44],"architecture":[45],"based":[46],"on":[47,166],"Large":[48],"Language":[49],"Models":[50],"(LLMs)":[51],"for":[52,138,175],"knowledge-aware":[54],"Recommendation":[55],"(SEDIRec).":[56],"Specifically,":[57],"our":[58],"SEDIRec":[59],"first":[60],"leverages":[61],"LLMs":[62],"infer":[64],"user":[65],"interests":[66],"from":[67],"historical":[68],"behaviors,":[69],"this":[71],"information":[73,116,151],"collaborative":[77,118,132,157],"data":[78,119,133,158],"main":[81],"views.":[82,141],"Then,":[83],"two":[84],"views":[86],"are":[87],"generated":[88],"using":[89],"diffusion":[90,136],"models":[91,137],"semantic":[93,154],"transitions:":[94],"one":[95],"at":[96,103],"the":[97,101,104,147,153,170],"level":[99],"other":[102],"level.":[106],"For":[107],"both":[108],"views,":[110],"we":[111],"or":[114],"generate":[121],"user-item":[123,127],"graph.":[124],"Subsequently,":[125],"each":[126],"transformed":[130],"into":[131],"spaces":[134,155],"via":[135],"generating":[139],"procedure":[143],"not":[144],"only":[145],"enhances":[146],"alignment":[148],"between":[149],"user/item-side":[150],"of":[156,172],"but":[159],"also":[160],"effectively":[161],"eliminates":[162],"noise.":[163],"Extensive":[164],"experiments":[165],"three":[167],"datasets":[168],"reveal":[169],"superiority":[171],"SEDIRec,":[173],"especially":[174],"users":[176],"sparse":[178],"interactions.":[179]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-18T00:00:00"}