{"id":"https://openalex.org/W2907642321","doi":"https://doi.org/10.1145/3289600.3290981","title":"A State Transition Model for Mobile Notifications via Survival Analysis","display_name":"A State Transition Model for Mobile Notifications via Survival Analysis","publication_year":2019,"publication_date":"2019-01-30","ids":{"openalex":"https://openalex.org/W2907642321","doi":"https://doi.org/10.1145/3289600.3290981","mag":"2907642321"},"language":"en","primary_location":{"id":"doi:10.1145/3289600.3290981","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289600.3290981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.03099","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048582364","display_name":"Yiping Yuan","orcid":"https://orcid.org/0000-0003-3367-3140"},"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":"Yiping Yuan","raw_affiliation_strings":["LinkedIn Corporation, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn Corporation, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345317","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-6241-0257"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011861223","display_name":"Shaunak Chatterjee","orcid":"https://orcid.org/0000-0002-3444-3948"},"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":"Shaunak Chatterjee","raw_affiliation_strings":["LinkedIn Corporation, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn Corporation, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084034136","display_name":"Shipeng Yu","orcid":"https://orcid.org/0000-0002-0262-4031"},"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":"Shipeng Yu","raw_affiliation_strings":["LinkedIn Corporation, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn Corporation, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111998240","display_name":"R\u00f3mer Rosales","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":"Romer Rosales","raw_affiliation_strings":["LinkedIn Corporation, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LinkedIn Corporation, Sunnyvale, CA, USA","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":2.2171,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92581439,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9911999702453613,"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"}},{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8036470413208008},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6854130029678345},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5028466582298279},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4495764672756195},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44705501198768616},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4460693299770355},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2609955072402954},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22342386841773987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11693546175956726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036470413208008},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6854130029678345},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5028466582298279},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4495764672756195},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44705501198768616},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4460693299770355},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2609955072402954},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22342386841773987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11693546175956726},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3289600.3290981","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289600.3290981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2207.03099","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.03099","pdf_url":"https://arxiv.org/pdf/2207.03099","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.03099","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.03099","pdf_url":"https://arxiv.org/pdf/2207.03099","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W410850256","https://openalex.org/W879130051","https://openalex.org/W1580788756","https://openalex.org/W1731081199","https://openalex.org/W1861683694","https://openalex.org/W1952707391","https://openalex.org/W1967602422","https://openalex.org/W1969851948","https://openalex.org/W1985629328","https://openalex.org/W1998431265","https://openalex.org/W2005931737","https://openalex.org/W2011569425","https://openalex.org/W2011930619","https://openalex.org/W2040257652","https://openalex.org/W2049401656","https://openalex.org/W2051197269","https://openalex.org/W2063438171","https://openalex.org/W2083972068","https://openalex.org/W2099620796","https://openalex.org/W2120660108","https://openalex.org/W2120761625","https://openalex.org/W2129530396","https://openalex.org/W2130763650","https://openalex.org/W2133866996","https://openalex.org/W2152560486","https://openalex.org/W2152933328","https://openalex.org/W2160842550","https://openalex.org/W2164067128","https://openalex.org/W2336090659","https://openalex.org/W2496251701","https://openalex.org/W2517976049","https://openalex.org/W2529512066","https://openalex.org/W2741712300","https://openalex.org/W2742376509","https://openalex.org/W2743064457","https://openalex.org/W2756470421","https://openalex.org/W2767453670","https://openalex.org/W2963264509","https://openalex.org/W3099478002","https://openalex.org/W3104026326","https://openalex.org/W3152320744","https://openalex.org/W4230262094","https://openalex.org/W4233608227","https://openalex.org/W4249861186","https://openalex.org/W6614148910"],"related_works":["https://openalex.org/W3034529322","https://openalex.org/W4236696095","https://openalex.org/W3143779693","https://openalex.org/W2626808643","https://openalex.org/W2004064826","https://openalex.org/W3103727510","https://openalex.org/W2115913271","https://openalex.org/W2113597336","https://openalex.org/W97045569","https://openalex.org/W2155505549"],"abstract_inverted_index":{"Mobile":[0],"notifications":[1,23,50,82,109],"have":[2],"become":[3],"a":[4,88,104,111,115,134],"major":[5],"communication":[6],"channel":[7],"for":[8,107,127],"social":[9],"networking":[10],"services":[11],"to":[12,24,32,45,62,65,92,151,166],"keep":[13],"users":[14,66],"informed":[15],"and":[16,35,41,67,83,114,129,162],"engaged.":[17],"As":[18],"more":[19,125,159,164],"mobile":[20,81],"applications":[21,128],"push":[22],"users,":[25],"they":[26],"constantly":[27],"face":[28],"decisions":[29],"on":[30,146],"what":[31],"send,":[33],"when":[34],"how.":[36],"A":[37],"lack":[38],"of":[39,78,97],"research":[40],"methodology":[42],"commonly":[43],"leads":[44],"heuristic":[46],"decision":[47],"making.":[48],"Many":[49],"arrive":[51],"at":[52],"an":[53,142],"inappropriate":[54],"moment":[55],"or":[56],"introduce":[57],"too":[58],"many":[59],"interruptions,":[60],"failing":[61],"provide":[63,141,163],"value":[64,165],"spurring":[68],"users'":[69],"complaints.":[70],"In":[71,138],"this":[72,100,122],"paper":[73],"we":[74,102,140,154],"explore":[75],"unique":[76],"features":[77],"interactions":[79],"between":[80],"user":[84,160],"engagement.":[85],"We":[86],"propose":[87],"state":[89],"transition":[90],"framework":[91],"quantitatively":[93],"evaluate":[94],"the":[95],"effectiveness":[96],"notifications.":[98],"Within":[99],"framework,":[101],"develop":[103],"survival":[105],"model":[106,123],"badging":[108],"assuming":[110],"log-linear":[112],"structure":[113],"Weibull":[116],"distribution.":[117],"Our":[118],"results":[119],"show":[120,152],"that":[121],"achieves":[124],"flexibility":[126],"superior":[130],"prediction":[131],"accuracy":[132],"than":[133],"logistic":[135],"regression":[136],"model.":[137],"particular,":[139],"online":[143],"use":[144],"case":[145],"notification":[147],"delivery":[148],"time":[149],"optimization":[150],"how":[153],"make":[155],"better":[156],"decisions,":[157],"drive":[158],"engagement,":[161],"users.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}