{"id":"https://openalex.org/W7161696339","doi":"https://doi.org/10.48550/arxiv.2605.16344","title":"A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems","display_name":"A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7161696339","doi":"https://doi.org/10.48550/arxiv.2605.16344"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16344","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16344","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.16344","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136493857","display_name":"Yichu Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yichu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136456355","display_name":"Mehdi Ben Ayed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ayed, Mehdi Ben","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136482195","display_name":"Lin Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136469824","display_name":"Jiacong He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Jiacong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045086297","display_name":"Andr\u00e9anne Lemay","orcid":"https://orcid.org/0000-0001-8581-2929"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lemay, Andreanne","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136464975","display_name":"Jiaye Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jiaye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136464646","display_name":"Jaewon Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Jaewon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136491109","display_name":"Josie Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Josie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046219759","display_name":"Dhruvil Badani","orcid":"https://orcid.org/0009-0001-5060-967X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Badani, Dhruvil Deven","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028956597","display_name":"Yijie Dylan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yijie Dylan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136459719","display_name":"Jiajing Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Jiajing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128315531","display_name":"Charles Rosenberg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rosenberg, Charles","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9280999898910522,"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":0.9280999898910522,"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/T13197","display_name":"Spreadsheets and End-User Computing","score":0.00989999994635582,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.008100000210106373,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.7422000169754028},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7189000248908997},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6123999953269958},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5629000067710876},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.48350000381469727},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4650999903678894},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4287000000476837},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4147999882698059},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4142000079154968},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.40459999442100525}],"concepts":[{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.7422000169754028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222999930381775},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7189000248908997},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6123999953269958},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5629000067710876},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.48350000381469727},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4650999903678894},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4287000000476837},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4142000079154968},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3991999924182892},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3935000002384186},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.39320001006126404},{"id":"https://openalex.org/C2778599509","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto efficiency","level":3,"score":0.38989999890327454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3871999979019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.367900013923645},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C94982200","wikidata":"https://www.wikidata.org/wiki/Q5380545","display_name":"Entitlement (fair division)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C51485801","wikidata":"https://www.wikidata.org/wiki/Q16966861","display_name":"Efficient frontier","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2567000091075897},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16344","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16344","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.16344","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16344","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.43426862359046936,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large-scale":[0],"recommenders":[1],"encode":[2],"multi-objective":[3],"trade-offs":[4],"by":[5],"combining":[6],"multiple":[7],"predicted":[8],"outcomes":[9],"into":[10],"a":[11,52,70,81,119,123,134,185],"single":[12],"utility":[13,17,67],"score.":[14],"Although":[15],"this":[16],"layer":[18],"can":[19],"be":[20],"updated":[21],"independently":[22],"of":[23,125],"the":[24,97,106],"ranker,":[25],"weight":[26],"tuning":[27,68],"remains":[28],"largely":[29],"manual,":[30],"globally":[31],"applied,":[32],"slow":[33],"to":[34,36,44,88,104,176],"adapt":[35],"changing":[37],"environments":[38],"and":[39,42,100,127,162],"business":[40],"needs,":[41],"hard":[43],"govern":[45],"as":[46,69,133,179],"priorities":[47],"shift.":[48],"We":[49,65,152],"propose":[50],"PRL-PUTS,":[51],"Production-ready,":[53],"ranker":[54,86],"independent":[55],"RL":[56,73],"framework":[57],"for":[58,137,188],"Personalized":[59],"Utility-weight":[60],"Tuning":[61],"with":[62,145,155],"Pareto":[63,115,130],"Sweeping.":[64],"cast":[66],"one-step,":[71],"value-based":[72],"problem:":[74],"given":[75],"request":[76],"context,":[77],"an":[78,113,128],"agent":[79],"selects":[80],"utility-weight":[82],"vector":[83],"that":[84],"re-weights":[85],"predictions":[87],"maximize":[89],"request-level":[90],"engagement":[91,174],"rewards.":[92],"To":[93],"visualize":[94],"performance":[95],"across":[96],"trade-off":[98],"spectrum":[99],"allow":[101],"decision":[102],"makers":[103],"update":[105],"deployed":[107],"operating":[108,138],"policy":[109,139],"instantly,":[110],"we":[111],"adopt":[112],"inference-time":[114],"frontier":[116,131],"sweeping":[117],"via":[118],"scalarization":[120],"parameter,":[121],"producing":[122],"family":[124],"policies":[126],"empirical":[129],"used":[132],"governance":[135],"artifact":[136],"selection.":[140],"PRL-PUTS":[141,154,169],"runs":[142],"in":[143,173,182],"parallel":[144],"ranking":[146],"inference":[147],"without":[148],"adding":[149],"serving":[150],"latency.":[151],"validate":[153],"offline":[156],"analysis":[157],"using":[158],"unbiased":[159],"exploration":[160],"logs":[161],"online":[163],"experiments":[164],"on":[165],"Pinterest":[166],"Homefeed":[167],"where":[168],"showed":[170],"significant":[171],"increases":[172],"compared":[175],"baseline":[177],"such":[178],"+0.13\\%":[180],"increase":[181],"successful":[183],"session,":[184],"core":[186],"metric":[187],"user":[189],"engagement.":[190]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}