{"id":"https://openalex.org/W7163573964","doi":"https://doi.org/10.48550/arxiv.2606.04110","title":"Variance Reduction for Heavy-Tailed Monetization Metrics in Ranking Experiments via Post-Stratification","display_name":"Variance Reduction for Heavy-Tailed Monetization Metrics in Ranking Experiments via Post-Stratification","publication_year":2026,"publication_date":"2026-06-02","ids":{"openalex":"https://openalex.org/W7163573964","doi":"https://doi.org/10.48550/arxiv.2606.04110"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.04110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04110","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.2606.04110","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093427211","display_name":"Neeti Pokharna","orcid":"https://orcid.org/0009-0003-7089-1515"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pokharna, Neeti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083237271","display_name":"Olivier Jeunen","orcid":"https://orcid.org/0000-0001-6256-5814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeunen, Olivier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051165898","display_name":"Yatharth Saraf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saraf, Yatharth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090857651","display_name":"Aleksei Ustimenko","orcid":"https://orcid.org/0009-0006-4942-7779"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ustimenko, Aleksei","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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.33739998936653137,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.33739998936653137,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.16580000519752502,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.1264999955892563,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/monetization","display_name":"Monetization","score":0.9589999914169312},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6833000183105469},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5827000141143799},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.492000013589859},{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.4514999985694885},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.3930000066757202},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.3783999979496002}],"concepts":[{"id":"https://openalex.org/C2780602052","wikidata":"https://www.wikidata.org/wiki/Q289845","display_name":"Monetization","level":2,"score":0.9589999914169312},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6833000183105469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467000246047974},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5827000141143799},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5379999876022339},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.492000013589859},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.4514999985694885},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.3783999979496002},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31439998745918274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31040000915527344},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C3018076075","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Variance components","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.04110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04110","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.2606.04110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04110","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":[{"display_name":"Decent work and economic growth","score":0.43756699562072754,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"evaluation":[1],"of":[2,29,77],"ranking":[3],"and":[4,34,41,96,118,131],"retrieval":[5,130],"systems":[6],"often":[7],"relies":[8],"on":[9,122],"downstream":[10],"monetization":[11,78,89],"metrics":[12,21],"such":[13],"as":[14],"app":[15],"revenue":[16],"or":[17],"creator":[18],"earnings.":[19],"These":[20],"are":[22],"typically":[23],"heavy-tailed,":[24],"with":[25,66,104],"a":[26,54],"small":[27],"fraction":[28],"users":[30],"dominating":[31],"both":[32],"mean":[33],"variance,":[35],"leading":[36],"to":[37,73],"low":[38],"statistical":[39,102],"power":[40],"unreliable":[42],"conclusions":[43],"in":[44,60],"A/B":[45],"experiments":[46,62,79],"--":[47],"especially":[48],"under":[49],"limited":[50],"traffic.":[51,83],"We":[52,111],"present":[53],"practical":[55,114],"framework":[56],"for":[57,127],"variance":[58,95],"reduction":[59],"online":[61],"by":[63],"combining":[64],"post-stratification":[65,124],"CUPED.":[67],"Our":[68],"approach":[69],"leverages":[70],"pre-experiment":[71],"covariates":[72],"improve":[74],"the":[75,91],"sensitivity":[76],"without":[80],"requiring":[81],"additional":[82],"Deployed":[84],"at":[85],"ShareChat":[86],"across":[87],"ranking-driven":[88],"experiments,":[90],"method":[92],"substantially":[93],"reduces":[94],"improves":[97],"decision":[98],"stability,":[99],"achieving":[100],"equivalent":[101],"confidence":[103],"~45\\%":[105],"less":[106],"traffic":[107],"than":[108],"standard":[109],"metrics.":[110],"further":[112],"discuss":[113],"design":[115],"choices,":[116],"guardrails,":[117],"limitations,":[119],"providing":[120],"guidance":[121],"when":[123],"is":[125],"appropriate":[126],"real-world":[128],"information":[129],"Recommendation":[132],"systems.":[133]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-05T00:00:00"}