{"id":"https://openalex.org/W4412376921","doi":"https://doi.org/10.1145/3726302.3730026","title":"LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry","display_name":"LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412376921","doi":"https://doi.org/10.1145/3726302.3730026"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730026","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730026","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730026","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/10.1145/3726302.3730026","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032790405","display_name":"Xiaopeng Ye","orcid":"https://orcid.org/0009-0003-1896-0309"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaopeng Ye","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin Univerisity of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin Univerisity of China, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385709","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0002-3070-9358"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012452889","display_name":"Zhongxiang Sun","orcid":"https://orcid.org/0000-0002-6109-4704"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongxiang Sun","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020766468","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-7170-111X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002333577","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-8795-8953"},"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":"Gang Wang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021124418","display_name":"Zhenhua Dong","orcid":"https://orcid.org/0000-0002-2231-4663"},"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":"Zhenhua Dong","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5032790405"],"corresponding_institution_ids":["https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":2.9699,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91728279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"201","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9693999886512756,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9589999914169312,"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/recommender-system","display_name":"Recommender system","score":0.8219081163406372},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7813275456428528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7023584246635437},{"id":"https://openalex.org/keywords/asymmetry","display_name":"Asymmetry","score":0.6452593803405762},{"id":"https://openalex.org/keywords/information-asymmetry","display_name":"Information asymmetry","score":0.46459269523620605},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38716840744018555},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.06464406847953796}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8219081163406372},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7813275456428528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7023584246635437},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.6452593803405762},{"id":"https://openalex.org/C137577040","wikidata":"https://www.wikidata.org/wiki/Q431965","display_name":"Information asymmetry","level":2,"score":0.46459269523620605},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38716840744018555},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.06464406847953796},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3730026","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730026","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730026","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730026","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730026","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730026","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7128300003","display_name":null,"funder_award_id":"2023YFA1008704","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412376921.pdf","grobid_xml":"https://content.openalex.org/works/W4412376921.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W33891176","https://openalex.org/W591761440","https://openalex.org/W786102430","https://openalex.org/W1526813172","https://openalex.org/W2023655891","https://openalex.org/W2054141820","https://openalex.org/W2056716515","https://openalex.org/W2069870183","https://openalex.org/W2074380434","https://openalex.org/W2164192036","https://openalex.org/W2518116149","https://openalex.org/W2615792787","https://openalex.org/W2723293840","https://openalex.org/W2963654596","https://openalex.org/W2963842088","https://openalex.org/W2990138404","https://openalex.org/W3008301325","https://openalex.org/W3028722847","https://openalex.org/W3090669232","https://openalex.org/W3103006639","https://openalex.org/W3105035347","https://openalex.org/W3122085188","https://openalex.org/W3138773240","https://openalex.org/W3155877950","https://openalex.org/W3156242690","https://openalex.org/W3169290523","https://openalex.org/W3200556911","https://openalex.org/W4231290711","https://openalex.org/W4284677642","https://openalex.org/W4292065381","https://openalex.org/W4292092796","https://openalex.org/W4299687421","https://openalex.org/W4312828534","https://openalex.org/W4367047007","https://openalex.org/W4372347502","https://openalex.org/W4384648390","https://openalex.org/W4387846685","https://openalex.org/W4396759029","https://openalex.org/W4396843610","https://openalex.org/W4400525295","https://openalex.org/W4401856724","https://openalex.org/W4401857157","https://openalex.org/W6600020652","https://openalex.org/W6631490273","https://openalex.org/W6817713987"],"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/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Maintaining":[0],"the":[1,16,26,31,34,47,82,86,91,96,113,134,141,148,179,188],"long-term":[2,27,114,191,212],"sustainability":[3],"of":[4,73,99,181,190],"recommender":[5],"systems":[6],"(RS)":[7],"is":[8],"crucial.Traditional":[9],"RS":[10,103,115,202],"evaluation":[11,116],"methods":[12],"primarily":[13],"focus":[14],"on":[15,85],"user's":[17],"immediate":[18],"feedback":[19,52,84,100],"(e.g.,":[20],"click),":[21],"however,":[22],"they":[23,64,88],"often":[24,65,105],"overlook":[25,66],"effect":[28],"involved":[29],"by":[30,49],"content":[32,37],"creators.In":[33],"real":[35],"world,":[36],"creators":[38,79],"can":[39,146,199],"strategically":[40],"create":[41],"and":[42,53,140,184],"upload":[43],"new":[44],"items":[45,87],"to":[46,60,95,107,155,165,210],"platform":[48,92],"analyzing":[50],"users'":[51],"preference":[54],"trends.Although":[55],"previous":[56],"studies":[57],"have":[58],"attempted":[59],"model":[61],"creator":[62,128],"behaviors,":[63],"that":[67,172],"such":[68,109,204],"behaviors":[69,150,180],"are":[70],"under":[71,152],"conditions":[72],"information":[74,153],"asymmetry.This":[75],"asymmetry":[76],"arises":[77],"because":[78],"mainly":[80],"access":[81,94],"user":[83],"produce,":[89],"while":[90],"has":[93],"full":[97],"spectrum":[98],"data.However,":[101],"existing":[102],"simulators":[104],"fail":[106],"consider":[108],"a":[110,123],"condition,":[111],"making":[112],"inaccurate.To":[117],"bridge":[118],"this":[119,196],"gap,":[120],"we":[121,145,160,198],"propose":[122],"Large":[124],"Language":[125],"Model":[126],"(LLM)empowered":[127],"simulation":[129,158,174],"agent":[130],"named":[131],"CreAgent.By":[132],"utilizing":[133],"belief":[135],"mechanism":[136],"from":[137],"game":[138],"theory":[139],"fast-and-slow":[142],"thinking":[143],"framework,":[144],"simulate":[147],"creator's":[149],"well":[151],"asymmetry.Furthermore,":[154],"enhance":[156],"CreAgent's":[157],"ability,":[159],"utilize":[161],"Proximal":[162],"Policy":[163],"Optimization":[164],"fine-tune":[166],"CreAgent.Our":[167],"credibility":[168],"validation":[169],"experiments":[170],"demonstrate":[171],"our":[173],"environment":[175],"effectively":[176],"aligns":[177],"with":[178],"real-world":[182],"platforms":[183],"creators,":[185],"thereby":[186],"enhancing":[187],"reliability":[189],"evaluations":[192],"in":[193],"RS.Furthermore,":[194],"leveraging":[195],"simulator,":[197],"examine":[200],"whether":[201],"algorithms,":[203],"as":[205],"fairnessand":[206],"diversity-aware":[207],"methods,":[208],"contribute":[209],"improving":[211],"performance":[213],"for":[214],"different":[215],"stakeholders.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}