{"id":"https://openalex.org/W7081954441","doi":"https://doi.org/10.1109/jiot.2025.3609556","title":"SenseMax: IoT-Based User\u2013Device Interaction Prediction With Complementary Masked Modeling and Contrastive Learning","display_name":"SenseMax: IoT-Based User\u2013Device Interaction Prediction With Complementary Masked Modeling and Contrastive Learning","publication_year":2025,"publication_date":"2025-09-12","ids":{"openalex":"https://openalex.org/W7081954441","doi":"https://doi.org/10.1109/jiot.2025.3609556"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3609556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3609556","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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":null,"display_name":"Tengfan Fu","orcid":"https://orcid.org/0009-0007-2182-418X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tengfan Fu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fei Lu","orcid":"https://orcid.org/0000-0002-7286-6714"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Lu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhongyang Li","orcid":"https://orcid.org/0009-0001-2271-9847"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyang Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":null,"display_name":"Guohui Tian","orcid":"https://orcid.org/0000-0001-8332-3064"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohui Tian","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68231223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"23","first_page":"50371","last_page":"50383"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.1446000039577484,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.1446000039577484,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.10849999636411667,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11290","display_name":"Preterm Birth and Chorioamnionitis","score":0.06469999998807907,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6924999952316284},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.51910001039505},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.4392000138759613},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.3919999897480011},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.3864000141620636},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.35659998655319214},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.35089999437332153},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.33570000529289246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8665000200271606},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6924999952316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5952000021934509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5277000069618225},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.51910001039505},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33390000462532043},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2780806968","wikidata":"https://www.wikidata.org/wiki/Q6045196","display_name":"Interaction model","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2612000107765198},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2572000026702881},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3609556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3609556","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2588627057","https://openalex.org/W2765354183","https://openalex.org/W2783272285","https://openalex.org/W2788114581","https://openalex.org/W2801737450","https://openalex.org/W2896457183","https://openalex.org/W2899457523","https://openalex.org/W2913258827","https://openalex.org/W2963367478","https://openalex.org/W2964352502","https://openalex.org/W2984100107","https://openalex.org/W3065542300","https://openalex.org/W3124636507","https://openalex.org/W3133849783","https://openalex.org/W3170779084","https://openalex.org/W3206544736","https://openalex.org/W4205203504","https://openalex.org/W4223499953","https://openalex.org/W4306317250","https://openalex.org/W4312900629","https://openalex.org/W4317821288","https://openalex.org/W4320015918","https://openalex.org/W4353115442","https://openalex.org/W4361769806","https://openalex.org/W4380434619","https://openalex.org/W4385245566","https://openalex.org/W4385478187","https://openalex.org/W4385562487","https://openalex.org/W4387086808","https://openalex.org/W4387623859","https://openalex.org/W4391305739","https://openalex.org/W4391697037","https://openalex.org/W4392543388","https://openalex.org/W4392902953","https://openalex.org/W4392908080","https://openalex.org/W4393153621","https://openalex.org/W4394595165","https://openalex.org/W4394842008","https://openalex.org/W4394947904","https://openalex.org/W4396888881","https://openalex.org/W4400943672","https://openalex.org/W4401016710","https://openalex.org/W4401379778","https://openalex.org/W4402781194","https://openalex.org/W4404177755","https://openalex.org/W4406890739","https://openalex.org/W4408010146"],"related_works":[],"abstract_inverted_index":{"User\u2013device":[0],"interaction":[1,12,28],"prediction":[2],"for":[3,86],"smart":[4,44],"homes":[5],"aims":[6],"to":[7,82,108,112,137,142,158,210],"accurately":[8],"predict":[9],"the":[10,14,17,25,30,91,110,144,181],"next":[11],"between":[13,147],"user":[15],"and":[16,34,41,56,77,93,117,131,150,189,191,202],"Internet":[18],"of":[19],"Things":[20],"(IoT)":[21],"devices.":[22],"By":[23],"analyzing":[24],"user\u2019s":[26],"historical":[27],"sequence,":[29],"system":[31],"can":[32],"self-adjust":[33],"provide":[35,83],"personalized":[36],"services,":[37],"thereby":[38],"enhancing":[39,192],"automation":[40],"intelligence":[42],"in":[43,216],"home":[45],"environments.":[46],"However,":[47],"efficiently":[48],"capturing":[49],"temporal":[50],"dependencies":[51],"while":[52],"addressing":[53],"data":[54],"limitations":[55],"class":[57],"imbalance":[58],"remains":[59],"a":[60,122,135],"challenge.":[61],"To":[62],"address":[63],"these":[64],"issues,":[65],"this":[66],"article":[67],"proposes":[68],"SenseMax,":[69],"which":[70],"organically":[71],"combines":[72],"masked":[73],"event\u2013time":[74,78,115],"modeling":[75],"(METM)":[76],"contrastive":[79],"learning":[80],"(ETCL)":[81],"targeted":[84],"guidance":[85],"model":[87,111],"training":[88],"from":[89,171],"both":[90,129],"feature":[92],"output":[94],"perspectives,":[95],"without":[96],"relying":[97],"on":[98,166,204],"additional":[99],"prior":[100],"knowledge":[101],"or":[102],"external":[103],"data.":[104],"METM":[105],"is":[106,140],"designed":[107],"enable":[109],"jointly":[113],"learn":[114],"associations":[116],"improve":[118],"sample":[119],"diversity":[120],"through":[121],"complementary":[123],"masking":[124],"strategy":[125],"that":[126,178],"simultaneously":[127],"masks":[128],"events":[130],"corresponding":[132,152],"timestamps.":[133],"As":[134],"complement":[136],"METM,":[138],"ETCL":[139],"proposed":[141],"leverage":[143],"synergistic":[145],"relationship":[146],"event":[148],"sequences":[149],"their":[151],"time":[153],"series,":[154],"providing":[155],"task-oriented":[156],"supervision":[157],"optimize":[159],"sequence":[160],"representations.":[161],"Extensive":[162],"experiments":[163],"are":[164],"conducted":[165],"publicly":[167],"available":[168],"real-world":[169],"datasets":[170],"three":[172,205],"different":[173,217],"countries.":[174],"The":[175],"results":[176],"show":[177],"SenseMax":[179],"outperforms":[180],"state-of-the-art":[182],"model,":[183],"improving":[184],"ACC@1":[185],"by":[186,199],"10.48%,":[187],"12.43%,":[188],"7.36%,":[190],"Macro-<inline-formula":[193],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[195],"<tex-math":[196],"notation=\"LaTeX\">$F1$":[197],"</tex-math></inline-formula>":[198],"0.4066,":[200],"0.4559,":[201],"0.3300":[203],"datasets,":[206],"demonstrating":[207],"its":[208],"ability":[209],"capture":[211],"complex":[212],"daily":[213],"behavior":[214],"patterns":[215],"regions.":[218]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}