{"id":"https://openalex.org/W7160490379","doi":"https://doi.org/10.48550/arxiv.2605.04813","title":"A Biased Nonnegative Block Term Tensor Decomposition Model for Dynamic QoS Prediction","display_name":"A Biased Nonnegative Block Term Tensor Decomposition Model for Dynamic QoS Prediction","publication_year":2026,"publication_date":"2026-05-06","ids":{"openalex":"https://openalex.org/W7160490379","doi":"https://doi.org/10.48550/arxiv.2605.04813"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.04813","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04813","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.04813","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135616165","display_name":"Wenjing Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Wenjing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135593883","display_name":"Yujia Lei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Yujia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065554228","display_name":"Wang Qu","orcid":"https://orcid.org/0009-0003-6554-4228"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Qu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.4408000111579895,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.4408000111579895,"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/T12303","display_name":"Tensor decomposition and applications","score":0.15209999680519104,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.0851999968290329,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/quality-of-service","display_name":"Quality of service","score":0.6692000031471252},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5611000061035156},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.524399995803833},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5174000263214111},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5131999850273132},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4959000051021576},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4758000075817108},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4489000141620636},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.44429999589920044}],"concepts":[{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.6692000031471252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5967000126838684},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5611000061035156},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.524399995803833},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5174000263214111},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5131999850273132},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4959000051021576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4763999879360199},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4758000075817108},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.4415000081062317},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3953999876976013},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35899999737739563},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33559998869895935},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3278999924659729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3215000033378601},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3084000051021576},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2727000117301941},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25679999589920044},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.04813","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04813","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.04813","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04813","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,66,93,104,121,164],"rapid":[2],"development":[3],"of":[4,11,124,177],"cloud":[5],"computing":[6],"and":[7,22,37,68,139],"Web":[8],"services,":[9],"Quality":[10],"Service":[12],"(QoS)":[13],"has":[14],"become":[15],"a":[16,86,141],"key":[17],"criterion":[18],"for":[19,152],"service":[20],"selection":[21],"recommendation.":[23],"Tensor":[24,98],"latent":[25,125],"feature":[26,126],"analysis":[27],"provides":[28],"an":[29],"effective":[30],"way":[31],"to":[32,119,134],"model":[33],"multidimensional":[34],"QoS":[35,40,88,160,172],"data,":[36],"most":[38],"existing":[39],"prediction":[41,77,89,137,173,178],"methods":[42,62,174],"are":[43,132],"mainly":[44],"based":[45,91],"on":[46,92,158],"Canonical":[47],"Polyadic":[48],"(CP)":[49],"decomposition":[50,116],"or":[51],"Tucker":[52],"decomposition.":[53],"However,":[54],"constrained":[55],"by":[56],"their":[57,76],"inherent":[58],"structural":[59],"properties,":[60],"these":[61],"cannot":[63],"accurately":[64],"capture":[65],"complex":[67],"dynamic":[69,87],"dependencies":[70],"in":[71,175],"user-service":[72],"interactions,":[73],"which":[74],"limits":[75],"performance.":[78],"To":[79],"address":[80],"this":[81,83],"issue,":[82],"paper":[84],"proposes":[85],"framework":[90,106,167],"Biased":[94],"Nonnegative":[95],"Block":[96],"Term":[97],"Decomposition":[99],"Model,":[100],"termed":[101],"BNBT.":[102],"Specifically,":[103],"proposed":[105,165],"is":[107,117,150],"developed":[108],"from":[109],"three":[110],"aspects:":[111],"(1)":[112],"block":[113],"term":[114],"tensor":[115],"employed":[118],"enhance":[120],"representation":[122],"capability":[123],"learning;":[127],"(2)":[128],"linear":[129],"bias":[130],"terms":[131,176],"incorporated":[133],"further":[135],"improve":[136],"accuracy;":[138],"(3)":[140],"tensor-oriented":[142],"single-element-dependent":[143],"nonnegative":[144],"multiplicative":[145],"update":[146],"algorithm,":[147],"called":[148],"SLF-NMUT,":[149],"designed":[151],"efficient":[153],"parameter":[154],"estimation.":[155],"Extensive":[156],"experiments":[157],"real-world":[159],"datasets":[161],"demonstrate":[162],"that":[163],"BNBT":[166],"consistently":[168],"outperforms":[169],"several":[170],"state-of-the-art":[171],"accuracy.":[179]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-08T00:00:00"}