{"id":"https://openalex.org/W4409657360","doi":"https://doi.org/10.1145/3696410.3714727","title":"G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation","display_name":"G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409657360","doi":"https://doi.org/10.1145/3696410.3714727"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714727","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714727","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714727","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 on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714727","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100332402","display_name":"Yuhan Li","orcid":"https://orcid.org/0000-0003-1324-5819"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuhan Li","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056983780","display_name":"Xinni Zhang","orcid":"https://orcid.org/0000-0001-8841-116X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xinni Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007704896","display_name":"Linhao Luo","orcid":"https://orcid.org/0000-0003-0027-942X"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Linhao Luo","raw_affiliation_strings":["Monash University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027050251","display_name":"Heng Chang","orcid":"https://orcid.org/0000-0002-4978-8041"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Chang","raw_affiliation_strings":["Huawei Technologies Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057157471","display_name":"Yuxiang Ren","orcid":"https://orcid.org/0000-0001-8829-3984"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Ren","raw_affiliation_strings":["Huawei Technologies Co., Ltd., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Irwin King","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405697","display_name":"Jia Li","orcid":"https://orcid.org/0000-0002-6362-4385"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100332402"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":30.4609,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.99554107,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"240","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9987999796867371,"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":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.7982950806617737},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5594637393951416},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.557222306728363},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49434542655944824},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4699324071407318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.400684118270874},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20118963718414307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7982950806617737},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5594637393951416},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.557222306728363},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49434542655944824},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4699324071407318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.400684118270874},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20118963718414307}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3696410.3714727","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714727","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714727","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 on Web Conference 2025","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-156342","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-156342","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714727","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714727","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714727","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 on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1402809924","display_name":null,"funder_award_id":"2023YFF0725100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409657360.pdf","grobid_xml":"https://content.openalex.org/works/W4409657360.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1593271688","https://openalex.org/W1988578917","https://openalex.org/W2030808931","https://openalex.org/W2069065514","https://openalex.org/W2134584261","https://openalex.org/W2152184085","https://openalex.org/W2282821441","https://openalex.org/W2599674900","https://openalex.org/W2605350416","https://openalex.org/W2739992143","https://openalex.org/W2740167620","https://openalex.org/W2788730650","https://openalex.org/W2798435682","https://openalex.org/W2807021761","https://openalex.org/W2808925008","https://openalex.org/W2907492528","https://openalex.org/W2911778742","https://openalex.org/W2949553967","https://openalex.org/W2950275995","https://openalex.org/W2971196067","https://openalex.org/W2991380435","https://openalex.org/W2997404190","https://openalex.org/W3024683329","https://openalex.org/W3027879771","https://openalex.org/W3035252911","https://openalex.org/W3035523484","https://openalex.org/W3045200674","https://openalex.org/W3085131702","https://openalex.org/W3093531652","https://openalex.org/W3098307636","https://openalex.org/W3100848837","https://openalex.org/W3101366597","https://openalex.org/W3110460992","https://openalex.org/W3116637551","https://openalex.org/W3153088333","https://openalex.org/W3175536494","https://openalex.org/W3176456866","https://openalex.org/W4226237846","https://openalex.org/W4281613206","https://openalex.org/W4282943426","https://openalex.org/W4285092328","https://openalex.org/W4318477403","https://openalex.org/W4360612299","https://openalex.org/W4367046880","https://openalex.org/W4367046943","https://openalex.org/W4367047402","https://openalex.org/W4384773367","https://openalex.org/W4385573970","https://openalex.org/W4387757693","https://openalex.org/W4389519239","https://openalex.org/W4389519920","https://openalex.org/W4389539847","https://openalex.org/W4390692489","https://openalex.org/W4401834466","https://openalex.org/W4401856724","https://openalex.org/W4401857188","https://openalex.org/W4401857377","https://openalex.org/W4401857442","https://openalex.org/W4401862897","https://openalex.org/W4401863666","https://openalex.org/W6600175266","https://openalex.org/W6600238479","https://openalex.org/W6600688380","https://openalex.org/W6693853403","https://openalex.org/W6782808188","https://openalex.org/W6839423781","https://openalex.org/W6854003280"],"related_works":["https://openalex.org/W2169518243","https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W4376623224","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Explainable":[0],"recommendation":[1],"has":[2],"demonstrated":[3],"significant":[4],"advantages":[5],"in":[6,217],"informing":[7],"users":[8],"about":[9],"the":[10,31,48,53,68,75,90,104,164,171,178,190,198],"logic":[11],"behind":[12],"recommendations,":[13],"thereby":[14],"increasing":[15],"system":[16],"transparency,":[17],"effectiveness,":[18],"and":[19,24,56,103,110,150,168,185,196,220,223],"trustworthiness.":[20],"To":[21,114,176],"provide":[22],"personalized":[23],"interpretable":[25],"explanations,":[26],"existing":[27,85,215],"works":[28],"often":[29,87],"combine":[30],"generation":[32],"capabilities":[33],"of":[34,70,92,192],"large":[35,126],"language":[36,112,127],"models":[37,128],"(LLMs)":[38,129],"with":[39,89,96,214],"collaborative":[40],"filtering":[41],"(CF)":[42],"information.":[43],"CF":[44,76,94,145,155,200],"information":[45,77,95,156,201],"extracted":[46,93],"from":[47,78,147],"user-item":[49],"interaction":[50],"graph":[51,71,108,139,166],"captures":[52],"user":[54],"behaviors":[55],"preferences,":[57],"which":[58],"is":[59,157],"crucial":[60],"for":[61,130,170],"providing":[62],"informative":[63],"explanations.":[64,113,204],"However,":[65],"due":[66,98],"to":[67,99,142,188,194,202],"complexity":[69],"structure,":[72],"effectively":[73],"extracting":[74],"graphs":[79],"still":[80],"remains":[81],"a":[82,121,137],"challenge.":[83],"Moreover,":[84],"methods":[86,216],"struggle":[88],"integration":[91],"LLMs":[97,193],"its":[100],"implicit":[101],"representation":[102],"modality":[105,179],"gap":[106],"between":[107],"structures":[109],"natural":[111],"address":[115],"these":[116],"challenges,":[117],"we":[118,134,181],"propose":[119],"G-Refer,":[120],"framework":[122],"using":[123],"Graph":[124],"Retrieval-augmented":[125],"explainable":[131],"recommendation.":[132],"Specifically,":[133],"first":[135],"employ":[136],"hybrid":[138],"retrieval":[140],"mechanism":[141],"retrieve":[143],"explicit":[144],"signals":[146],"both":[148,218],"structural":[149],"semantic":[151],"perspectives.":[152],"The":[153],"retrieved":[154,199],"explicitly":[158],"formulated":[159],"as":[160],"human-understandable":[161],"text":[162],"by":[163,174],"proposed":[165],"translation":[167],"accounts":[169],"explanations":[172],"generated":[173],"LLMs.":[175],"bridge":[177],"gap,":[180],"introduce":[182],"knowledge":[183],"pruning":[184],"retrieval-augmented":[186],"fine-tuning":[187],"enhance":[189],"ability":[191],"process":[195],"utilize":[197],"generate":[203],"Extensive":[205],"experiments":[206],"show":[207],"that":[208],"G-Refer":[209],"achieves":[210],"superior":[211],"performance":[212],"compared":[213],"explainability":[219],"stability.":[221],"Codes":[222],"data":[224],"are":[225],"available":[226],"at":[227],"https://github.com/Yuhan1i/G-Refer.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}