{"id":"https://openalex.org/W4406721388","doi":"https://doi.org/10.1142/s0218001425500016","title":"Biased Block Term Tensor Decomposition for Temporal Pattern-aware QoS Prediction","display_name":"Biased Block Term Tensor Decomposition for Temporal Pattern-aware QoS Prediction","publication_year":2025,"publication_date":"2025-01-22","ids":{"openalex":"https://openalex.org/W4406721388","doi":"https://doi.org/10.1142/s0218001425500016"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425500016","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500016","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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":"Qu Wang","orcid":"https://orcid.org/0009-0003-6554-4228"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qu Wang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-6554-4228","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xin Liao","orcid":"https://orcid.org/0000-0003-0250-116X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liao","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0250-116X","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047737556","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-4138-1239"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-4138-1239","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":4.6499,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.94589372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"39","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9797999858856201,"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"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9797999858856201,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6671770811080933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6311947703361511},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5823931694030762},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5595053434371948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5268002152442932},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.46905139088630676},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.4183559715747833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40206512808799744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24261987209320068},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08640235662460327}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6671770811080933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311947703361511},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5823931694030762},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5595053434371948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5268002152442932},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.46905139088630676},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.4183559715747833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40206512808799744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24261987209320068},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08640235662460327},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425500016","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500016","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3783337587","display_name":null,"funder_award_id":"62302402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2073178357","https://openalex.org/W2080320419","https://openalex.org/W2213692051","https://openalex.org/W2433081977","https://openalex.org/W2473015933","https://openalex.org/W2571057189","https://openalex.org/W2804549930","https://openalex.org/W2928382658","https://openalex.org/W2996967608","https://openalex.org/W3024536663","https://openalex.org/W3082477754","https://openalex.org/W3118283916","https://openalex.org/W3120815295","https://openalex.org/W3153812903","https://openalex.org/W3156564332","https://openalex.org/W3177616705","https://openalex.org/W3188916711","https://openalex.org/W3213018975","https://openalex.org/W4200597037","https://openalex.org/W4287890986","https://openalex.org/W4312325321","https://openalex.org/W4315783926","https://openalex.org/W4322730943","https://openalex.org/W4362467507","https://openalex.org/W4362653288","https://openalex.org/W4377941395","https://openalex.org/W4382999250","https://openalex.org/W4385287043","https://openalex.org/W4386902921","https://openalex.org/W4390562577","https://openalex.org/W4390691924","https://openalex.org/W4391640608","https://openalex.org/W4392406000","https://openalex.org/W4393238102"],"related_works":["https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W3216281372","https://openalex.org/W2963838862","https://openalex.org/W2608089480","https://openalex.org/W3015641590","https://openalex.org/W2987657992","https://openalex.org/W4297666106"],"abstract_inverted_index":{"The":[0],"widespread":[1],"application":[2],"of":[3,13,55],"cloud":[4],"services":[5,22],"make":[6],"users":[7],"pay":[8],"more":[9],"attention":[10],"to":[11,24,43,79,120,164,177],"Quality":[12],"Service":[14],"(QoS).":[15],"Generally,":[16],"the":[17,62,86,132,144,159,166],"user":[18],"cannot":[19],"call":[20],"all":[21],"simultaneously":[23],"obtain":[25],"corresponding":[26],"QoS":[27,46,56,127,187,199],"data":[28,82],"and":[29,58],"can":[30,51,74],"only":[31],"choose":[32],"a":[33,36,112,138,172],"service":[34],"from":[35],"few":[37],"known":[38],"data,":[39,57],"thus":[40],"it\u2019s":[41],"critical":[42],"predict":[44,80],"unknown":[45,81],"values.":[47],"A":[48],"third-order":[49],"tensor":[50,63,139],"model":[52,119,141,179],"temporal":[53,77,125],"patterns":[54,78],"studies":[59],"indicate":[60],"that":[61,190],"latent":[64],"factor":[65],"analysis":[66],"models":[67,90],"based":[68],"on":[69,183],"Canonical":[70],"Polyadic":[71],"(CP)":[72],"decomposition":[73,147],"effectively":[75],"capture":[76],"in":[83,104,148],"QoS.":[84],"However,":[85],"existing":[87],"CP":[88],"decomposition-based":[89],"limit":[91],"their":[92],"learning":[93,140,178],"ability":[94],"since":[95],"rank-one":[96],"tensors":[97,163],"contain":[98],"less":[99],"structure":[100],"information,":[101],"which":[102],"results":[103],"low":[105],"prediction":[106,168,194,200],"accuracy.":[107],"Therefore,":[108],"this":[109],"paper":[110],"proposes":[111],"Biased":[113],"Block":[114],"Term":[115],"Tensor":[116],"Decomposition":[117],"(BBTTD)":[118],"achieve":[121],"high":[122],"accuracy":[123,195],"for":[124],"pattern-aware":[126],"prediction.":[128],"It":[129],"mainly":[130],"adopts":[131],"following":[133],"three-fold":[134],"ideas:":[135],"(a)":[136],"implementing":[137],"by":[142],"adopting":[143],"block":[145,161],"term":[146,162],"rank-([Formula:":[149],"see":[150,153],"text],":[151,154],"[Formula:":[152],"1)":[155],"terms;":[156],"(b)":[157],"proposing":[158],"bias":[160],"enhance":[165],"model\u2019s":[167],"accuracy;":[169],"(c)":[170],"designing":[171],"nonnegative":[173],"multiplication":[174],"update":[175],"algorithm":[176],"parameters.":[180],"Extensive":[181],"experiments":[182],"two":[184],"public":[185],"dynamic":[186],"datasets":[188],"demonstrate":[189],"BBTTD":[191],"has":[192],"higher":[193],"compared":[196],"with":[197],"several":[198],"models.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}