{"id":"https://openalex.org/W2080770071","doi":"https://doi.org/10.1145/2783258.2788602","title":"From Infrastructure to Culture","display_name":"From Infrastructure to Culture","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W2080770071","doi":"https://doi.org/10.1145/2783258.2788602","mag":"2080770071"},"language":"en","primary_location":{"id":"doi:10.1145/2783258.2788602","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2788602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114062370","display_name":"Ya Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ya Xu","raw_affiliation_strings":["LinkedIn Corp, Mountain View, CA, USA","LinkedIn Corporation, Mountain View, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn Corp, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1316064682"]},{"raw_affiliation_string":"LinkedIn Corporation, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089982054","display_name":"Nanyu Chen","orcid":"https://orcid.org/0000-0001-5150-1997"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nanyu Chen","raw_affiliation_strings":["LinkedIn Corp, Mountain View, CA, USA","LinkedIn Corporation, Mountain View, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn Corp, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1316064682"]},{"raw_affiliation_string":"LinkedIn Corporation, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054786009","display_name":"Addrian Fernandez","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Addrian Fernandez","raw_affiliation_strings":["LinkedIn Corp, Mountain View, CA, USA","LinkedIn Corporation, Mountain View, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn Corp, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1316064682"]},{"raw_affiliation_string":"LinkedIn Corporation, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074408600","display_name":"Omar Sinno","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Sinno","raw_affiliation_strings":["LinkedIn Corp, Mountain View, CA, USA","LinkedIn Corporation, Mountain View, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn Corp, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1316064682"]},{"raw_affiliation_string":"LinkedIn Corporation, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038091890","display_name":"Anmol Bhasin","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anmol Bhasin","raw_affiliation_strings":["LinkedIn Corp, Mountain View, CA, USA","LinkedIn Corporation, Mountain View, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn Corp, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1316064682"]},{"raw_affiliation_string":"LinkedIn Corporation, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1316064682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.0164,"has_fulltext":false,"cited_by_count":214,"citation_normalized_percentile":{"value":0.99260316,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2227","last_page":"2236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9891999959945679,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9891999959945679,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9797999858856201,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322036027908325},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5388997793197632},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4832621216773987},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4689449965953827},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.44953659176826477},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41760754585266113},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.41204094886779785},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36139270663261414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322036027908325},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5388997793197632},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4832621216773987},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4689449965953827},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.44953659176826477},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41760754585266113},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.41204094886779785},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36139270663261414},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2783258.2788602","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2788602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W73088495","https://openalex.org/W430011393","https://openalex.org/W1486094596","https://openalex.org/W1553296127","https://openalex.org/W1583837637","https://openalex.org/W1888549093","https://openalex.org/W1975566260","https://openalex.org/W2049506335","https://openalex.org/W2070815407","https://openalex.org/W2095056536","https://openalex.org/W2102546764","https://openalex.org/W2102945991","https://openalex.org/W2104942079","https://openalex.org/W2110065044","https://openalex.org/W2110228583","https://openalex.org/W2112508839","https://openalex.org/W2132917208","https://openalex.org/W2136490545","https://openalex.org/W2144981148","https://openalex.org/W2148349356","https://openalex.org/W2150337129","https://openalex.org/W2152886806","https://openalex.org/W2169068368","https://openalex.org/W2169113736","https://openalex.org/W2184114879","https://openalex.org/W2315536171","https://openalex.org/W2331384579","https://openalex.org/W2585206336","https://openalex.org/W4256495360"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1990545028","https://openalex.org/W4312622923","https://openalex.org/W1977056376","https://openalex.org/W2728430307","https://openalex.org/W2107786128","https://openalex.org/W2048368023","https://openalex.org/W2735469505","https://openalex.org/W2120116197","https://openalex.org/W159653547"],"abstract_inverted_index":{"A/B":[0,72,117,147,170],"testing,":[1,6,8],"also":[2],"known":[3],"as":[4,41,174],"bucket":[5],"split":[7],"or":[9,20,27],"controlled":[10,58],"experiment,":[11],"is":[12,30,139,161],"a":[13,23,123,204],"standard":[14],"way":[15],"to":[16,46,141,157],"evaluate":[17],"user":[18],"engagement":[19],"satisfaction":[21],"from":[22,152],"new":[24],"service,":[25],"feature,":[26],"product.":[28],"It":[29,160],"widely":[31],"used":[32],"among":[33],"online":[34],"websites,":[35],"including":[36,77],"social":[37,124],"network":[38,125,181],"sites":[39],"such":[40,173],"Facebook,":[42],"LinkedIn,":[43,51,151],"and":[44,75,79,109,136,154,178,197],"Twitter":[45],"make":[47],"data-driven":[48],"decisions.":[49],"At":[50],"we":[52,97,104,193],"have":[53,81,105],"seen":[54],"tremendous":[55],"growth":[56],"of":[57,132,145,190],"experiments":[59,67,156,177],"over":[60,64],"time,":[61],"with":[62,129],"now":[63],"400":[65],"concurrent":[66],"running":[68,116,175],"per":[69],"day.":[70],"General":[71],"testing":[73,148,171],"frameworks":[74],"methodologies,":[76],"challenges":[78,111],"pitfalls,":[80],"been":[82],"discussed":[83],"extensively":[84],"in":[85,99,122],"several":[86,167],"previous":[87],"KDD":[88],"work":[89],"[7,":[90],"8,":[91],"9,":[92],"10].":[93],"In":[94],"this":[95],"paper,":[96],"describe":[98],"depth":[100],"the":[101,110,133,146,180],"experimentation":[102,134,206],"platform":[103,135],"built":[106,140],"at":[107,119,150],"LinkedIn":[108],"that":[112,189,199],"arise":[113],"particularly":[114],"when":[115],"tests":[118],"large":[120],"scale":[121],"setting.":[126],"We":[127],"start":[128],"an":[130],"introduction":[131],"how":[137],"it":[138],"handle":[142],"each":[143],"step":[144],"process":[149],"designing":[153],"deploying":[155],"analyzing":[158],"them.":[159],"then":[162],"followed":[163],"by":[164],"discussions":[165],"on":[166],"more":[168],"sophisticated":[169],"scenarios,":[172],"offline":[176],"addressing":[179],"effect,":[182],"where":[183],"one":[184],"user's":[185],"action":[186],"can":[187],"influence":[188],"another.":[191],"Lastly,":[192],"talk":[194],"about":[195],"features":[196],"processes":[198],"are":[200],"crucial":[201],"for":[202],"building":[203],"strong":[205],"culture.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":49},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
