{"id":"https://openalex.org/W2967555892","doi":"https://doi.org/10.1177/1470785319870161","title":"Predicting the sequential behavior of mobile Internet users based on MSM model","display_name":"Predicting the sequential behavior of mobile Internet users based on MSM model","publication_year":2019,"publication_date":"2019-08-13","ids":{"openalex":"https://openalex.org/W2967555892","doi":"https://doi.org/10.1177/1470785319870161","mag":"2967555892"},"language":"en","primary_location":{"id":"doi:10.1177/1470785319870161","doi":"https://doi.org/10.1177/1470785319870161","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1470785319870161","pdf_url":null,"source":{"id":"https://openalex.org/S162526994","display_name":"International Journal of Market Research","issn_l":"1470-7853","issn":["1470-7853","2515-2173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","cwts-core","fnege-3","jufo-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Market Research","raw_type":"journal-article"},"volume":null,"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/A5016933558","display_name":"Zhengren Li","orcid":"https://orcid.org/0000-0003-2908-2233","observed_orcids":["https://orcid.org/0000-0003-2908-2233"]},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengren Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-2908-2233","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108046737","display_name":"Xiaohang Zhang","orcid":"https://orcid.org/0000-0002-5315-8712","observed_orcids":["https://orcid.org/0000-0002-5315-8712"]},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohang Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780540","display_name":"Yanyu Wang","orcid":"https://orcid.org/0000-0002-5505-9312","observed_orcids":["https://orcid.org/0000-0002-5505-9312","https://orcid.org/0009-0004-2419-8805"]},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyu Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101970539","display_name":"Xin Su","orcid":"https://orcid.org/0000-0003-3425-9734","observed_orcids":["https://orcid.org/0000-0003-3425-9734"]},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Su","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108046737"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":1.4019,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82320086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"62","issue":"6","first_page":"743","last_page":"757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.3086000084877014,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.3086000084877014,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.13339999318122864,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.0989999994635582,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/mobile-internet-users","display_name":"mobile internet users","score":0.8299999833106995},{"id":"https://openalex.org/keywords/user-behavior-prediction","display_name":"user behavior prediction","score":0.9039999842643738},{"id":"https://openalex.org/keywords/sequential-behavior","display_name":"sequential behavior","score":0.7789999842643738},{"id":"https://openalex.org/keywords/multi-state-markov-model","display_name":"multi-state Markov model","score":0.9879999756813049},{"id":"https://openalex.org/keywords/hidden-markov-model-comparison","display_name":"hidden Markov model comparison","score":0.7210000157356262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8019818663597107},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.7848738431930542},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5602712035179138},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5517263412475586},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46891531348228455},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.45987361669540405},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4422130584716797},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4244529902935028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40198445320129395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33520907163619995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3256148099899292},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11118072271347046},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.09717890620231628},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0745023787021637},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1470785319870161","doi":"https://doi.org/10.1177/1470785319870161","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1470785319870161","pdf_url":null,"source":{"id":"https://openalex.org/S162526994","display_name":"International Journal of Market Research","issn_l":"1470-7853","issn":["1470-7853","2515-2173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","cwts-core","fnege-3","jufo-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Market Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1189204849","display_name":"\u7ec4\u7ec7\u5370\u8bb0\u5bf9\u4f01\u4e1a\u521b\u65b0\u6218\u7565\u7684\u4f5c\u7528\u673a\u5236\u53ca\u5176\u5f71\u54cd\u6548\u679c\u7814\u7a76","funder_award_id":"71802026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5074786034","display_name":null,"funder_award_id":"2018RC46","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1178673422","https://openalex.org/W1556911442","https://openalex.org/W1965555277","https://openalex.org/W1971237913","https://openalex.org/W1975549563","https://openalex.org/W1976879913","https://openalex.org/W1978637569","https://openalex.org/W1997962161","https://openalex.org/W1999508674","https://openalex.org/W2007321142","https://openalex.org/W2022356888","https://openalex.org/W2030886008","https://openalex.org/W2036498410","https://openalex.org/W2074937974","https://openalex.org/W2086699924","https://openalex.org/W2088229392","https://openalex.org/W2107467271","https://openalex.org/W2141572089","https://openalex.org/W2146189565","https://openalex.org/W2159145890","https://openalex.org/W2161029186","https://openalex.org/W2167556105","https://openalex.org/W2171418624","https://openalex.org/W2177393682","https://openalex.org/W2184753479","https://openalex.org/W2210500229","https://openalex.org/W2290589950","https://openalex.org/W2298034441","https://openalex.org/W2346354117","https://openalex.org/W2470000348","https://openalex.org/W2504603171","https://openalex.org/W2518587879","https://openalex.org/W2539353021","https://openalex.org/W2905080845","https://openalex.org/W2913346038","https://openalex.org/W4230538848","https://openalex.org/W4235517609"],"related_works":["https://openalex.org/W2290589950","https://openalex.org/W2060823394","https://openalex.org/W1572017835","https://openalex.org/W2111008141","https://openalex.org/W7171732978","https://openalex.org/W2352991919","https://openalex.org/W2065768403","https://openalex.org/W2116740133","https://openalex.org/W2273847225","https://openalex.org/W3008416541"],"abstract_inverted_index":{"The":[0,58,115],"behavior":[1,31,55],"of":[2,29,32,52,56,61,122],"users":[3],"concerning":[4],"mobile":[5],"Internet":[6],"varies":[7],"significantly":[8],"throughout":[9],"the":[10,30,47,53,96,110],"day.":[11],"Results":[12],"from":[13],"existing":[14],"studies\u2014which":[15],"generally":[16],"simply":[17],"segment":[18],"one":[19],"day":[20],"into":[21,76],"morning,":[22],"afternoon,":[23],"and":[24,100,135],"evening\u2014often":[25],"provide":[26],"inaccurate":[27],"predictions":[28],"users.":[33,57],"To":[34],"improve":[35],"prediction":[36],"accuracy,":[37],"we":[38,71,84],"propose":[39],"a":[40,102,131],"segment-based":[41],"multi-state":[42,103],"Markov":[43,104,137],"(SBMSM)":[44],"model":[45,64,106,126,134],"for":[46,120],"dynamic":[48],"time":[49,81,87],"interval":[50],"segmentation":[51],"sequential":[54],"specific":[59],"procedure":[60],"this":[62],"proposed":[63],"can":[65],"be":[66],"described":[67],"as":[68],"follows:":[69],"first,":[70],"divide":[72],"each":[73],"user\u2019s":[74],"behaviors":[75],"minimum":[77],"unit":[78],"according":[79,94],"to":[80,95],"dimension;":[82],"then,":[83],"merge":[85],"adjacent":[86],"intervals":[88],"or":[89],"ensure":[90],"they":[91],"are":[92],"constant":[93],"similarities":[97],"in":[98],"behavior;":[99],"finally,":[101],"(MSM)":[105],"is":[107],"trained":[108],"using":[109],"newly":[111],"constructed":[112],"data":[113],"individually.":[114],"experimental":[116],"results":[117],"illustrate":[118],"that":[119],"95.78%":[121],"users,":[123],"an":[124],"SBMSM":[125],"performs":[127],"much":[128],"better":[129],"than":[130],"naive":[132],"MSM":[133],"hidden":[136],"model.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2019-08-22T00:00:00"}