{"id":"https://openalex.org/W7117320003","doi":"https://doi.org/10.1145/3786601","title":"DynLLM: When Large Language Models Meet Dynamic Graph-based Recommendation","display_name":"DynLLM: When Large Language Models Meet Dynamic Graph-based Recommendation","publication_year":2025,"publication_date":"2025-12-26","ids":{"openalex":"https://openalex.org/W7117320003","doi":"https://doi.org/10.1145/3786601"},"language":"en","primary_location":{"id":"doi:10.1145/3786601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3786601","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information 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/A5121333813","display_name":"Ziwei Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Zhao","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0007-0814-7313","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018111817","display_name":"Fake Lin","orcid":"https://orcid.org/0009-0003-1402-2358"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fake Lin","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0003-1402-2358","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452984","display_name":"Xi Zhu","orcid":"https://orcid.org/0000-0003-3621-8493"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Zhu","raw_affiliation_strings":["Rutgers University, New Brunswick, New Jersey, USA"],"raw_orcid":"https://orcid.org/0000-0003-3621-8493","affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121337343","display_name":"Zhi Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Zheng","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-7758-8904","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121328557","display_name":"Tong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Xu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4246-5386","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shitian Shen","orcid":"https://orcid.org/0009-0001-4074-4333"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shitian Shen","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-4074-4333","affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459211","display_name":"Xueying Li","orcid":"https://orcid.org/0000-0002-3699-0697"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueying Li","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3699-0697","affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047560731","display_name":"Zikai Yin","orcid":"https://orcid.org/0000-0003-4597-9227"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikai Yin","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4597-9227","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070143364","display_name":"Enhong Chen Enhong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4835-4102","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0267,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91733393,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"44","issue":"2","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.6478000283241272,"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":0.6478000283241272,"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":0.15119999647140503,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.0414000004529953,"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/embedding","display_name":"Embedding","score":0.644599974155426},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4943000078201294},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.47909998893737793},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.44769999384880066},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.37880000472068787},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.3605000078678131},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3564999997615814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8510000109672546},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.644599974155426},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4943000078201294},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.47909998893737793},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.44769999384880066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3982999920845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38499999046325684},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3531000018119812},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34929999709129333},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.3215000033378601},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30329999327659607},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2791999876499176},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2662000060081482}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3786601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3786601","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2135082260","display_name":null,"funder_award_id":"62222213, U22B2059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G751259028","display_name":null,"funder_award_id":"WK2150250042","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G994427063","display_name":null,"funder_award_id":"2023ZD0121104","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2565330852","https://openalex.org/W2605350416","https://openalex.org/W2723293840","https://openalex.org/W2911286998","https://openalex.org/W2951626319","https://openalex.org/W2963146368","https://openalex.org/W2965683718","https://openalex.org/W2973172293","https://openalex.org/W2986068433","https://openalex.org/W2998116985","https://openalex.org/W3035287707","https://openalex.org/W3045200674","https://openalex.org/W3102793640","https://openalex.org/W3153293286","https://openalex.org/W3204479763","https://openalex.org/W4224245411","https://openalex.org/W4296591867","https://openalex.org/W4312080192","https://openalex.org/W4384648392","https://openalex.org/W4401326261","https://openalex.org/W4401863565","https://openalex.org/W4402639612"],"related_works":[],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"have":[2,32,222],"become":[3],"ubiquitous":[4],"tools":[5],"in":[6,100,142],"online":[7,242],"platforms,":[8],"providing":[9],"personalized":[10],"suggestions":[11],"based":[12,28,42,131],"on":[13,29,43,132,218],"user\u2013item":[14],"interactions.":[15],"To":[16,96],"capture":[17],"the":[18,60,122,133,147,159,183,196,224],"dynamic":[19,30,44,92,115,213],"higher-order":[20],"connections":[21],"between":[22,150],"users":[23,151],"and":[24,73,145,152,174,194],"items,":[25],"recommendation":[26,40,117],"approaches":[27],"graphs":[31,45,93,214],"garnered":[33],"significant":[34],"attention":[35,179],"from":[36,55,210],"researchers.":[37],"However,":[38,85],"existing":[39],"methods":[41],"are":[46],"often":[47],"limited":[48],"by":[49],"data":[50],"sparsity,":[51],"which":[52,141],"prevents":[53],"them":[54],"achieving":[56],"satisfactory":[57],"performance.":[58],"Fortunately,":[59],"rapid":[61],"development":[62],"of":[63,124,137,198,227,233],"large":[64],"language":[65],"models":[66],"(LLMs)":[67],"with":[68,91,162,206],"powerful":[69],"text":[70],"generation":[71],"capabilities":[72],"extensive":[74],"domain":[75],"knowledge":[76],"has":[77],"offered":[78],"new":[79],"possibilities":[80],"for":[81,111,187,203],"addressing":[82],"this":[83,98,101,155],"challenge.":[84],"how":[86],"to":[87,114,126,157,169,181],"effectively":[88],"integrate":[89],"LLMs":[90,113,125,168],"remains":[94],"unexplored.":[95],"bridge":[97],"gap,":[99],"article,":[102],"we":[103,166],"propose":[104],"a":[105,177,230],"novel":[106],"framework,":[107],"that":[108],"is,":[109],"DynLLM,":[110],"applying":[112],"graph-based":[116],"methods.":[118,236],"Specifically,":[119],"DynLLM":[120,228],"harnesses":[121],"power":[123],"generate":[127],"multi-faceted":[128,160],"user":[129],"profiles":[130,161],"rich":[134],"textual":[135],"features":[136],"historical":[138],"purchase":[139],"records,":[140],"turn":[143],"supplement":[144],"enrich":[146],"underlying":[148],"relationships":[149],"items.":[153],"Along":[154],"line,":[156],"fuse":[158],"temporal":[163,207],"graph":[164,208],"embedding,":[165],"engage":[167],"derive":[170],"corresponding":[171],"profile":[172,185],"embeddings":[173,186],"further":[175],"employ":[176],"distilled":[178,200],"mechanism":[180],"refine":[182],"LLM-generated":[184],"alleviating":[188],"noisy":[189],"signals,":[190],"while":[191],"also":[192],"assessing":[193],"adjusting":[195],"relevance":[197],"each":[199],"facet":[201],"embedding":[202,209],"seamless":[204],"integration":[205],"continuous":[211],"time":[212],"(CTDGs).":[215],"Extensive":[216],"experiments":[217],"three":[219],"real":[220],"datasets":[221],"validated":[223],"superior":[225],"improvements":[226],"over":[229],"wide":[231],"range":[232],"state-of-the-art":[234],"baseline":[235],"The":[237],"implementation":[238],"code":[239],"is":[240],"available":[241],"at":[243],"https://github.com/meteor-gif/DynLLM":[244],".":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-12-26T00:00:00"}