{"id":"https://openalex.org/W7168424392","doi":"https://doi.org/10.1145/3805712.3808453","title":"Precision at Scale: An End-to-End Graph-based Framework for Mitigating Network Interference in TikTok A/B Tests","display_name":"Precision at Scale: An End-to-End Graph-based Framework for Mitigating Network Interference in TikTok A/B Tests","publication_year":2026,"publication_date":"2026-07-15","ids":{"openalex":"https://openalex.org/W7168424392","doi":"https://doi.org/10.1145/3805712.3808453"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3808453","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808453","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/10.1145/3805712.3808453","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140954287","display_name":"Yuhan Li","orcid":"https://orcid.org/0009-0009-6833-5513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuhan Li","raw_affiliation_strings":["ByteDance Inc, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-6833-5513","affiliations":[{"raw_affiliation_string":"ByteDance Inc, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140865997","display_name":"Jiayun Ni","orcid":"https://orcid.org/0009-0006-7049-4327"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiayun Ni","raw_affiliation_strings":["ByteDance Inc, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-7049-4327","affiliations":[{"raw_affiliation_string":"ByteDance Inc, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140877248","display_name":"Ao Li","orcid":"https://orcid.org/0009-0005-0070-3392"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ao Li","raw_affiliation_strings":["ByteDance Inc, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-0070-3392","affiliations":[{"raw_affiliation_string":"ByteDance Inc, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140877852","display_name":"Yue Wang","orcid":"https://orcid.org/0009-0004-7303-2414"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["ByteDance Inc, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-7303-2414","affiliations":[{"raw_affiliation_string":"ByteDance Inc, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140910703","display_name":"Seng You Paul Chee","orcid":"https://orcid.org/0009-0003-6172-5582"},"institutions":[{"id":"https://openalex.org/I4210109012","display_name":"Waseda Bioscience Research Institute in Singapore","ror":"https://ror.org/01m343c98","country_code":"SG","type":"education","lineage":["https://openalex.org/I4210109012"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Seng You Paul Chee","raw_affiliation_strings":["ByteDance Inc, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0009-0003-6172-5582","affiliations":[{"raw_affiliation_string":"ByteDance Inc, Singapore, Singapore","institution_ids":["https://openalex.org/I4210109012"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140959463","display_name":"Yongmin Hu","orcid":"https://orcid.org/0009-0005-1041-1748"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongmin Hu","raw_affiliation_strings":["ByteDance Inc, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0005-1041-1748","affiliations":[{"raw_affiliation_string":"ByteDance Inc, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5140893287","display_name":"Runze Yu","orcid":"https://orcid.org/0009-0002-5100-3247"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Runze Yu","raw_affiliation_strings":["ByteDance Inc, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-5100-3247","affiliations":[{"raw_affiliation_string":"ByteDance Inc, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":"4727","last_page":"4731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.48559999465942383},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.35569998621940613},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.3025999963283539},{"id":"https://openalex.org/keywords/electromagnetic-interference","display_name":"Electromagnetic interference","score":0.2721000015735626},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.26829999685287476},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2655999958515167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.538100004196167},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.48559999465942383},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.35569998621940613},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2854999899864197},{"id":"https://openalex.org/C184892835","wikidata":"https://www.wikidata.org/wiki/Q1474513","display_name":"Electromagnetic interference","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26759999990463257},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2565999925136566},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.25189998745918274},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805712.3808453","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808453","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:10.1145/3805712.3808453","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808453","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":14,"referenced_works":["https://openalex.org/W1996564297","https://openalex.org/W2012797835","https://openalex.org/W2064971013","https://openalex.org/W2070232376","https://openalex.org/W2126002144","https://openalex.org/W2131681506","https://openalex.org/W2143416241","https://openalex.org/W2151936673","https://openalex.org/W2152886806","https://openalex.org/W2420733993","https://openalex.org/W2542459869","https://openalex.org/W2964337893","https://openalex.org/W3166749140","https://openalex.org/W4298013486"],"related_works":[],"abstract_inverted_index":{"Large-scale":[0],"A/B":[1],"tests":[2],"on":[3,38],"social":[4],"platforms":[5],"suffer":[6],"from":[7,144,164],"inherent":[8],"network":[9,27],"interference,":[10],"violating":[11],"the":[12],"Stable":[13],"Unit":[14],"Treatment":[15],"Value":[16],"Assumption":[17],"(SUTVA)":[18],"and":[19,110],"distorting":[20],"measured":[21],"results.":[22],"Industrial":[23],"practices":[24],"for":[25,47,91,123],"mitigating":[26],"interference":[28,49,85,154],"face":[29],"a":[30,64,118,159,167,179],"foundational":[31],"trade-off.":[32],"For":[33],"scalability,":[34],"they":[35],"often":[36],"rely":[37],"clustering":[39,108],"static":[40],"graphs,":[41],"which":[42,70],"serve":[43],"as":[44],"imperfect":[45],"proxies":[46],"true":[48],"pathways.":[50],"Conversely,":[51],"theoretically":[52],"sound":[53],"methods":[54],"remain":[55],"computationally":[56],"intractable":[57],"at":[58,68],"production":[59,149],"scale.":[60],"This":[61],"paper":[62],"presents":[63],"production-ready":[65],"framework":[66,152],"deployed":[67],"TikTok,":[69],"integrates":[71],"three":[72],"core":[73],"contributions":[74],"to":[75,140,166],"address":[76],"these":[77],"challenges:":[78],"1)":[79],"Learned":[80],"Interference":[81],"Graph":[82],"(LIG):":[83],"Estimates":[84],"probabilities":[86],"using":[87],"dynamic":[88],"interaction":[89,115],"patterns":[90],"more":[92],"context-aware":[93],"modeling.":[94],"2)":[95],"Scalable":[96],"Community":[97],"Partitioning":[98],"(SCP):":[99],"A":[100,131],"Spark-optimized":[101],"ParLeiden":[102],"implementation":[103],"that":[104],"performs":[105],"billion-node":[106],"graph":[107],"daily":[109],"generalizes":[111],"effectively":[112],"across":[113],"diverse":[114],"types,":[116],"achieving":[117],"purity":[119],"score":[120],"of":[121],"0.898":[122],"group":[124],"chat":[125],"interactions.":[126],"3)":[127],"Sensitivity-Enhanced":[128],"Estimation":[129],"(SEE):":[130],"multivariate":[132],"system":[133],"leveraging":[134],"Controlled-experiment":[135],"Using":[136],"Pre-Experiment":[137],"Data":[138],"(CUPED)":[139],"mitigate":[141],"variance":[142],"inflation":[143],"cluster-based":[145],"randomization.":[146],"In":[147],"live":[148],"tests,":[150],"our":[151],"reduces":[153],"rates":[155],"by":[156,187],"68.8%,":[157],"correcting":[158],"biased":[160],"treatment":[161],"effect":[162],"estimate":[163],"+1.44%":[165],"statistically":[168],"significant":[169],"+2.08%.":[170],"It":[171],"also":[172],"enables":[173],"previously":[174],"undetectable":[175],"cross-ecosystem":[176],"measurements,":[177],"revealing":[178],"+0.2%":[180],"lift":[181],"in":[182],"creator":[183],"upload":[184],"volumes":[185],"driven":[186],"user-side":[188],"treatments.":[189]},"counts_by_year":[],"updated_date":"2026-07-17T05:52:16.776730","created_date":"2026-07-16T00:00:00"}