{"id":"https://openalex.org/W7141448068","doi":"https://doi.org/10.1109/icce67443.2026.11449909","title":"RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations","display_name":"RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141448068","doi":"https://doi.org/10.1109/icce67443.2026.11449909"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-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/A5101842551","display_name":"Chang Xue","orcid":"https://orcid.org/0000-0001-6990-214X"},"institutions":[{"id":"https://openalex.org/I19772626","display_name":"Yeshiva University","ror":"https://ror.org/045x93337","country_code":"US","type":"education","lineage":["https://openalex.org/I19772626"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chang Xue","raw_affiliation_strings":["Yeshiva University"],"affiliations":[{"raw_affiliation_string":"Yeshiva University","institution_ids":["https://openalex.org/I19772626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109377230","display_name":"Youwei Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131712","display_name":"Oklahoma State University Oklahoma City","ror":"https://ror.org/03y1zyv86","country_code":"US","type":"education","lineage":["https://openalex.org/I4210131712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youwei Lu","raw_affiliation_strings":["Oklahoma State University"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University","institution_ids":["https://openalex.org/I4210131712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130752628","display_name":"Chen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032191677","display_name":"Jinming Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinming Xing","raw_affiliation_strings":["North Carolina State University"],"affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101842551"],"corresponding_institution_ids":["https://openalex.org/I19772626"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93053927,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.6901999711990356,"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":0.6901999711990356,"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":0.1680999994277954,"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":0.028699999675154686,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5030999779701233},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4410000145435333},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.30709999799728394},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.29589998722076416},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.287200003862381}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6642000079154968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5049999952316284},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5030999779701233},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28110000491142273},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2575006718","https://openalex.org/W2788376297","https://openalex.org/W2807021761","https://openalex.org/W2945827670","https://openalex.org/W2963367478","https://openalex.org/W2964536660","https://openalex.org/W2982108874","https://openalex.org/W2984100107","https://openalex.org/W3045200674","https://openalex.org/W3065542300","https://openalex.org/W3097300053","https://openalex.org/W3133849783","https://openalex.org/W4212835176","https://openalex.org/W4381786098","https://openalex.org/W4385245566","https://openalex.org/W4389002885","https://openalex.org/W4392367398","https://openalex.org/W4392846385","https://openalex.org/W4393969906","https://openalex.org/W4394994587","https://openalex.org/W4396843692","https://openalex.org/W4401863964","https://openalex.org/W4403577399","https://openalex.org/W4405643374","https://openalex.org/W4407403520","https://openalex.org/W4408861742","https://openalex.org/W4414403443","https://openalex.org/W4414463148","https://openalex.org/W4414535375","https://openalex.org/W7117484922","https://openalex.org/W7142174476"],"related_works":[],"abstract_inverted_index":{"Personalization":[0],"is":[1],"a":[2,40,45,64,80],"core":[3],"capability":[4],"across":[5],"consumer":[6],"technologies,":[7],"streaming,":[8],"shopping,":[9],"wearables,":[10],"and":[11,23,62,84,97,106,125,139,147],"voice,":[12],"yet":[13],"it":[14],"remains":[15],"challenged":[16],"by":[17],"sparse":[18],"interactions,":[19],"fast":[20],"content":[21],"churn,":[22],"heterogeneous":[24],"textual":[25],"signals.":[26],"We":[27,74],"present":[28],"RecMind,":[29],"an":[30],"LLM-enhanced":[31],"graph":[32,98],"recommender":[33],"that":[34],"treats":[35],"the":[36,71,76,110,134,140],"language":[37,91],"model":[38],"as":[39],"preference":[41],"prior":[42],"rather":[43],"than":[44],"monolithic":[46],"ranker.":[47],"A":[48],"frozen":[49],"LLM":[50],"equipped":[51],"with":[52,79,118],"lightweight":[53],"adapters":[54],"produces":[55],"text-conditioned":[56],"user/item":[57],"embeddings":[58,69],"from":[59,70],"titles,":[60],"attributes,":[61],"reviews;":[63],"LightGCN":[65],"backbone":[66],"learns":[67],"collaborative":[68],"user-item":[72],"graph.":[73],"align":[75],"two":[77],"views":[78],"symmetric":[81],"contrastive":[82],"objective":[83],"fuse":[85],"them":[86],"via":[87],"intra-layer":[88],"gating,":[89],"allowing":[90],"to":[92,100,122],"dominate":[93],"in":[94],"cold/long-tail":[95],"regimes":[96],"structure":[99],"stabilize":[101],"rankings":[102],"elsewhere.":[103],"On":[104],"Yelp":[105],"Amazon-Electronics,":[107],"RecMind":[108],"attains":[109],"best":[111],"results":[112],"on":[113],"all":[114],"eight":[115],"reported":[116],"metrics,":[117],"relative":[119],"improvements":[120],"up":[121],"+4.53%":[123],"(Recall@40)":[124],"+4.01%":[126],"(NDCG@40)":[127],"over":[128,144],"strong":[129],"baselines.":[130],"Ablations":[131],"confirm":[132],"both":[133],"necessity":[135],"of":[136,142],"cross-view":[137],"alignment":[138],"advantage":[141],"gating":[143],"late":[145],"fusion":[146],"LLM-only":[148],"variants.":[149]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}
