{"id":"https://openalex.org/W4402352385","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651104","title":"Uncertainty-Aware Explainable Recommendation with Large Language Models","display_name":"Uncertainty-Aware Explainable Recommendation with Large Language Models","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352385","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651104"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101302336","display_name":"Yicui Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicui Peng","raw_affiliation_strings":["Chengdu University of Information Technology,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353673","display_name":"Hao Chen","orcid":"https://orcid.org/0009-0001-6480-7976"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Chengdu University of Information Technology,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088556494","display_name":"Ching-Sheng Lin","orcid":"https://orcid.org/0000-0002-6172-8201"},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Sheng Lin","raw_affiliation_strings":["Tunghai University,Taichung,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tunghai University,Taichung,Taiwan","institution_ids":["https://openalex.org/I169090423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102752858","display_name":"Guo Huang","orcid":"https://orcid.org/0000-0001-8109-7833"},"institutions":[{"id":"https://openalex.org/I2802584641","display_name":"Leshan Normal University","ror":"https://ror.org/036cvz290","country_code":"CN","type":"education","lineage":["https://openalex.org/I2802584641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Huang","raw_affiliation_strings":["Leshan Normal University,Leshan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leshan Normal University,Leshan,China","institution_ids":["https://openalex.org/I2802584641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028521210","display_name":"Jinrong Hu","orcid":"https://orcid.org/0000-0001-7732-8141"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinrong Hu","raw_affiliation_strings":["Chengdu University of Information Technology,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101415648","display_name":"Hui Guo","orcid":"https://orcid.org/0009-0002-3329-4087"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Guo","raw_affiliation_strings":["University at Buffalo,SUNY,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,SUNY,NY,USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101560782","display_name":"Bin Kong","orcid":"https://orcid.org/0000-0003-2108-5341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Kong","raw_affiliation_strings":["Meta,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta,CA,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687829","display_name":"Shu Hu","orcid":"https://orcid.org/0000-0003-1446-4140"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shu Hu","raw_affiliation_strings":["Purdue University,Indianapolis,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University,Indianapolis,USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108691340","display_name":"Xi Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Wu","raw_affiliation_strings":["Chengdu University of Information Technology,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100328001","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-7528-2407"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["University at Albany,SUNY,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Albany,SUNY,NY,USA","institution_ids":["https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9990000128746033,"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":0.9908999800682068,"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":0.8003074526786804},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46395841240882874},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4446912407875061},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.42753535509109497},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3715023994445801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3634648621082306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003074526786804},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46395841240882874},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4446912407875061},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.42753535509109497},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3715023994445801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3634648621082306}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2101105183","https://openalex.org/W2122932202","https://openalex.org/W2152184085","https://openalex.org/W2604662567","https://openalex.org/W2739992143","https://openalex.org/W2740167620","https://openalex.org/W2749348810","https://openalex.org/W2804823968","https://openalex.org/W2893085659","https://openalex.org/W2896457183","https://openalex.org/W2945260553","https://openalex.org/W2949553967","https://openalex.org/W2963677766","https://openalex.org/W3012607120","https://openalex.org/W3094397005","https://openalex.org/W3094497946","https://openalex.org/W3096831136","https://openalex.org/W3098267758","https://openalex.org/W3110690473","https://openalex.org/W3121002673","https://openalex.org/W3174770825","https://openalex.org/W3175536494","https://openalex.org/W3185341429","https://openalex.org/W3195311662","https://openalex.org/W3210519732","https://openalex.org/W4205334834","https://openalex.org/W4205991051","https://openalex.org/W4224308442","https://openalex.org/W4287124576","https://openalex.org/W4292779060","https://openalex.org/W4360612299","https://openalex.org/W4384519174","https://openalex.org/W4386651315","https://openalex.org/W4387075618","https://openalex.org/W4387501761","https://openalex.org/W4391563741","https://openalex.org/W4392397373","https://openalex.org/W4400118952","https://openalex.org/W6678070886","https://openalex.org/W6682631176","https://openalex.org/W6756091659","https://openalex.org/W6762122294","https://openalex.org/W6778883912","https://openalex.org/W6785051105","https://openalex.org/W6796353777","https://openalex.org/W6856729088"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Providing":[0],"explanations":[1],"within":[2,105],"the":[3,17,25,67,72,76,87,113,136,149,174,185],"recommendation":[4,114,130],"system":[5],"would":[6],"boost":[7],"user":[8,91,133],"satisfaction":[9],"and":[10,60,92,116,132,145,152],"foster":[11],"trust,":[12],"especially":[13],"by":[14],"elaborating":[15],"on":[16,42,148,184],"reasons":[18],"for":[19,51,97],"selecting":[20],"recommended":[21],"items":[22],"tailored":[23],"to":[24,57,110,179],"user.":[26],"The":[27],"predominant":[28],"approach":[29,69],"in":[30,163],"this":[31,79],"domain":[32],"revolves":[33],"around":[34],"generating":[35],"text-based":[36],"explanations,":[37],"with":[38],"a":[39,83,101,106,122],"notable":[40],"emphasis":[41],"applying":[43],"large":[44],"language":[45],"models":[46],"(LLMs).":[47],"However,":[48],"refining":[49],"LLMs":[50],"explainable":[52],"recommendations":[53],"proves":[54],"impractical":[55],"due":[56],"time":[58],"constraints":[59],"computing":[61],"resource":[62],"limitations.":[63],"As":[64],"an":[65],"alternative,":[66],"current":[68],"involves":[70],"training":[71,103],"prompt":[73],"rather":[74],"than":[75],"LLM.":[77],"In":[78,169],"study,":[80],"we":[81,171],"developed":[82],"model":[84,176],"that":[85,173],"utilizes":[86],"ID":[88],"vectors":[89],"of":[90,126,165],"item":[93],"inputs":[94],"as":[95],"prompts":[96],"GPT-2.":[98],"We":[99],"employed":[100],"joint":[102],"mechanism":[104],"multi-task":[107],"learning":[108],"framework":[109],"optimize":[111],"both":[112],"task":[115],"explanation":[117],"task.":[118],"This":[119],"strategy":[120],"enables":[121],"more":[123],"effective":[124],"exploration":[125],"users\u2019":[127],"interests,":[128],"improving":[129],"effectiveness":[131],"satisfaction.":[134],"Through":[135],"experiments,":[137],"our":[138],"method":[139],"achieving":[140],"1.59":[141],"DIV,":[142],"0.57":[143],"USR":[144],"0.41":[146],"FCR":[147],"Yelp,":[150],"TripAdvisor":[151],"Amazon":[153],"dataset":[154],"respectively,":[155],"demonstrates":[156],"superior":[157],"performance":[158],"over":[159],"four":[160],"SOTA":[161],"methods":[162],"terms":[164],"explainability":[166],"evaluation":[167],"metric.":[168],"addition,":[170],"identified":[172],"proposed":[175],"is":[177],"able":[178],"ensure":[180],"stable":[181],"textual":[182],"quality":[183],"three":[186],"public":[187],"datasets.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}