{"id":"https://openalex.org/W4416018117","doi":"https://doi.org/10.1145/3746252.3760995","title":"STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning","display_name":"STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416018117","doi":"https://doi.org/10.1145/3746252.3760995"},"language":"en","primary_location":{"id":"doi:10.1145/3746252.3760995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3760995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.18812","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Chenghao Wu","orcid":"https://orcid.org/0009-0007-9090-6111"},"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":true,"raw_author_name":"Chenghao Wu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-9090-6111","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/A5074848230","display_name":"Ruiyang Ren","orcid":"https://orcid.org/0000-0002-0562-9911"},"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":"Ruiyang Ren","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0562-9911","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/A5102844742","display_name":"Junjie Zhang","orcid":"https://orcid.org/0009-0008-8864-915X"},"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":"Junjie Zhang","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-8864-915X","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/A5115595115","display_name":"Ruirui Wang","orcid":null},"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":"Ruirui Wang","raw_affiliation_strings":["Poisson Lab, Huawei, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-5415-8396","affiliations":[{"raw_affiliation_string":"Poisson Lab, Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102800502","display_name":"Zhongrui Ma","orcid":"https://orcid.org/0009-0002-5907-1607"},"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":"Zhongrui Ma","raw_affiliation_strings":["Poisson Lab, Huawei, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-5907-1607","affiliations":[{"raw_affiliation_string":"Poisson Lab, Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077290693","display_name":"Qi Ye","orcid":"https://orcid.org/0009-0006-5907-5746"},"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":"Qi Ye","raw_affiliation_strings":["Poisson Lab, Huawei, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0006-5907-5746","affiliations":[{"raw_affiliation_string":"Poisson Lab, Huawei, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037145565","display_name":"Wayne Xin Zhao","orcid":"https://orcid.org/0000-0002-8333-6196"},"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":"Wayne Xin Zhao","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8333-6196","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":[],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":5.0536,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9595248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3355","last_page":"3365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.8109999895095825,"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":0.8109999895095825,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.029500000178813934,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.022700000554323196,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6947000026702881},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.6147000193595886},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6025000214576721},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4869000017642975},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4742000102996826},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.36739999055862427},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.29809999465942383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8008000254631042},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6947000026702881},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.6147000193595886},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6025000214576721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5350000262260437},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4742000102996826},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3824000060558319},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3813000023365021},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.2840000092983246},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.26409998536109924}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746252.3760995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3760995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.18812","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.18812","pdf_url":"https://arxiv.org/pdf/2508.18812","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.18812","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.18812","pdf_url":"https://arxiv.org/pdf/2508.18812","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W4296591867","https://openalex.org/W4385572290","https://openalex.org/W4392846385","https://openalex.org/W4393065402","https://openalex.org/W4393160302","https://openalex.org/W4393160747","https://openalex.org/W4396722619","https://openalex.org/W4396758674","https://openalex.org/W4400525295","https://openalex.org/W4400531810","https://openalex.org/W4401042703","https://openalex.org/W4402667093","https://openalex.org/W4402684050","https://openalex.org/W4403220611","https://openalex.org/W4403577399","https://openalex.org/W4405787555","https://openalex.org/W4406800520"],"related_works":[],"abstract_inverted_index":{"While":[0],"modern":[1],"recommender":[2,63],"systems":[3,64],"are":[4],"instrumental":[5],"in":[6,50,121],"navigating":[7],"information":[8],"abundance,":[9],"they":[10],"remain":[11],"fundamentally":[12],"limited":[13,45],"by":[14],"static":[15],"user":[16,71],"modeling":[17],"and":[18,48,85,142],"reactive":[19],"decision-making":[20],"paradigms.":[21],"Current":[22],"large":[23],"language":[24],"model":[25],"(LLM)-based":[26],"agents":[27,120],"inherit":[28],"these":[29],"shortcomings":[30],"through":[31,134],"their":[32],"overreliance":[33],"on":[34,139],"heuristic":[35],"pattern":[36],"matching,":[37],"yielding":[38],"recommendations":[39],"prone":[40],"to":[41],"shallow":[42],"correlation":[43],"bias,":[44],"causal":[46],"inference,":[47],"brittleness":[49],"sparse-data":[51],"scenarios.":[52],"We":[53],"introduce":[54],"STARec,":[55],"a":[56],"slow-thinking":[57],"augmented":[58],"agent":[59,76],"framework":[60],"that":[61,88,147],"endows":[62],"with":[65,77,112,154],"autonomous":[66],"deliberative":[67],"reasoning":[68,87,110],"capabilities.":[69],"Each":[70],"is":[72],"modeled":[73],"as":[74],"an":[75],"parallel":[78],"cognitions:":[79],"fast":[80],"response":[81],"for":[82],"immediate":[83],"interactions":[84],"slow":[86,95],"performs":[89],"chain-of-thought":[90],"rationales.":[91],"To":[92],"cultivate":[93],"intrinsic":[94],"thinking,":[96],"we":[97],"develop":[98],"anchored":[99],"reinforcement":[100],"training-a":[101],"two-stage":[102],"paradigm":[103],"combining":[104],"structured":[105],"knowledge":[106],"distillation":[107],"from":[108],"advanced":[109],"models":[111],"preference-aligned":[113],"reward":[114],"shaping.":[115],"This":[116],"hybrid":[117],"approach":[118],"scaffolds":[119],"acquiring":[122],"foundational":[123],"capabilities":[124],"(preference":[125],"summarization,":[126],"rationale":[127],"generation)":[128],"while":[129],"enabling":[130],"dynamic":[131],"policy":[132],"adaptation":[133],"simulated":[135],"feedback":[136],"loops.":[137],"Experiments":[138],"MovieLens":[140],"1M":[141],"Amazon":[143],"CDs":[144],"benchmarks":[145],"demonstrate":[146],"STARec":[148],"achieves":[149],"substantial":[150],"performance":[151],"gains":[152],"compared":[153],"state-of-the-art":[155],"baselines,":[156],"despite":[157],"using":[158],"only":[159],"0.4%":[160],"of":[161],"the":[162],"full":[163],"training":[164],"data.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-10T00:00:00"}