{"id":"https://openalex.org/W7168359914","doi":"https://doi.org/10.1145/3805712.3808424","title":"AIPO: Adaptive Anchored Intent-aware Policy Optimization for Generative Recommendation","display_name":"AIPO: Adaptive Anchored Intent-aware Policy Optimization for Generative Recommendation","publication_year":2026,"publication_date":"2026-07-15","ids":{"openalex":"https://openalex.org/W7168359914","doi":"https://doi.org/10.1145/3805712.3808424"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3808424","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808424","pdf_url":null,"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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3808424","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140949759","display_name":"Kun Yao","orcid":"https://orcid.org/0009-0002-1789-3119"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yao","raw_affiliation_strings":["JD.COM, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-1789-3119","affiliations":[{"raw_affiliation_string":"JD.COM, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140954904","display_name":"Congcong Liu","orcid":"https://orcid.org/0000-0002-1749-1075"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congcong Liu","raw_affiliation_strings":["JD.COM, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1749-1075","affiliations":[{"raw_affiliation_string":"JD.COM, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140859720","display_name":"Ziheng Ni","orcid":"https://orcid.org/0009-0001-0564-3254"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziheng Ni","raw_affiliation_strings":["JD.COM, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-0564-3254","affiliations":[{"raw_affiliation_string":"JD.COM, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140897035","display_name":"Cai Shang","orcid":"https://orcid.org/0000-0002-1483-2372"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Shang","raw_affiliation_strings":["JD.COM, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1483-2372","affiliations":[{"raw_affiliation_string":"JD.COM, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140909686","display_name":"Wenlong Chen","orcid":"https://orcid.org/0009-0008-4011-130X"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Chen","raw_affiliation_strings":["JD.COM, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-4011-130X","affiliations":[{"raw_affiliation_string":"JD.COM, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140810239","display_name":"Changping Peng","orcid":"https://orcid.org/0009-0002-2561-1919"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changping Peng","raw_affiliation_strings":["JD.COM, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-2561-1919","affiliations":[{"raw_affiliation_string":"JD.COM, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5140764635","display_name":"Ching Law","orcid":"https://orcid.org/0009-0001-3275-2528"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ching Law","raw_affiliation_strings":["JD.COM, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-3275-2528","affiliations":[{"raw_affiliation_string":"JD.COM, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210103986"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5049","last_page":"5054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.36469998955726624},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.3375999927520752},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3181999921798706},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.2892000079154968},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2870999872684479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.607699990272522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.526199996471405},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3310999870300293},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.24809999763965607}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805712.3808424","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808424","pdf_url":null,"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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805712.3808424","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808424","pdf_url":null,"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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2794556650","https://openalex.org/W2902572901","https://openalex.org/W2951645301","https://openalex.org/W3121342653","https://openalex.org/W3157410348","https://openalex.org/W4400909953","https://openalex.org/W4401863330","https://openalex.org/W4403218830","https://openalex.org/W4412394905","https://openalex.org/W4412877043","https://openalex.org/W4416017185","https://openalex.org/W7133239020"],"related_works":[],"abstract_inverted_index":{"Generative":[0],"Recommendation":[1],"(GenRec)":[2],"has":[3],"emerged":[4],"as":[5],"a":[6,30,128,138],"significant":[7],"evolutionary":[8],"direction":[9],"in":[10,16,47,61],"the":[11,21,35,119,143,170],"field":[12],"of":[13,27,40,122,145,173],"recommendation":[14],"systems":[15],"recent":[17],"years.":[18],"However,":[19],"during":[20],"reinforcement":[22],"learning":[23],"(RL)":[24],"alignment":[25],"stage":[26],"end-to-end":[28],"GenRec,":[29],"core":[31],"challenge":[32],"is":[33],"that":[34],"low":[36],"signal-to-noise":[37],"ratio":[38],"(SNR)":[39],"feedback":[41],"signals":[42],"triggers":[43],"reward":[44,71,153],"hacking,":[45],"which":[46,132],"turn":[48],"leads":[49],"to":[50,69,111],"severe":[51],"distributional":[52,147,150],"drift.":[53],"Massive":[54],"click":[55],"noise":[56],"and":[57,73,94,99,152,165],"sparse":[58],"rewards":[59],"result":[60],"highly":[62],"unstable":[63],"policy":[64,146],"gradients,":[65],"making":[66],"it":[67,104,126],"difficult":[68],"balance":[70],"optimization":[72,92],"generative":[74],"stability.":[75],"To":[76],"address":[77],"this,":[78],"we":[79],"propose":[80],"AIPO":[81,88],"(Adaptive":[82],"Anchored":[83],"Intent-aware":[84],"Policy":[85],"Optimization)":[86],"framework.":[87],"synergistically":[89],"enhances":[90],"both":[91,97,162],"stability":[93],"performance":[95,172],"from":[96],"data":[98],"prior":[100,129],"anchoring":[101,130],"perspectives.":[102],"First,":[103],"introduces":[105,127],"an":[106],"intent-aware":[107],"asymmetric":[108],"resampling":[109],"mechanism":[110],"purify":[112],"high-confidence":[113],"conversion":[114],"intent":[115],"data,":[116],"thereby":[117],"amplifying":[118],"gradient":[120],"contribution":[121],"high-value":[123],"paths.":[124],"Second,":[125],"mechanism,":[131],"dynamically":[133],"regulates":[134],"its":[135],"intensity":[136],"through":[137],"barrier":[139],"mapping":[140],"based":[141],"on":[142,161],"degree":[144],"drift,":[148],"mitigating":[149],"drift":[151],"hacking":[154],"caused":[155],"by":[156],"low-SNR":[157],"data.":[158],"Offline":[159],"experiments":[160],"public":[163],"benchmarks":[164],"JD's":[166],"industrial":[167],"datasets":[168],"validated":[169],"superior":[171],"AIPO.":[174]},"counts_by_year":[],"updated_date":"2026-07-17T05:52:16.776730","created_date":"2026-07-16T00:00:00"}
