{"id":"https://openalex.org/W2945278601","doi":"https://doi.org/10.1109/access.2019.2909548","title":"Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition","display_name":"Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2945278601","doi":"https://doi.org/10.1109/access.2019.2909548","mag":"2945278601"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2909548","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2909548","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08691437.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08691437.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072874470","display_name":"Tian Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Cheng","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024416196","display_name":"Junhao Wen","orcid":"https://orcid.org/0000-0002-6561-560X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Wen","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044493248","display_name":"Qingyu Xiong","orcid":"https://orcid.org/0000-0003-0976-2397"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyu Xiong","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024752776","display_name":"Jun Zeng","orcid":"https://orcid.org/0000-0003-3129-9052"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zeng","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568954","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0003-0839-8773"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0839-8773","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056859592","display_name":"Xueyuan Cai","orcid":"https://orcid.org/0000-0003-2189-7104"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueyuan Cai","raw_affiliation_strings":["Shenzhen Vispractice Technology Corporation, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Vispractice Technology Corporation, Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":5.4546,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95993538,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"62221","last_page":"62230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T11478","display_name":"Caching and Content Delivery","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.789111852645874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7762266397476196},{"id":"https://openalex.org/keywords/web-service","display_name":"Web service","score":0.6736438870429993},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6095976829528809},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5497409105300903},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.48765838146209717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48324188590049744},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4801896810531616},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.47495555877685547},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4670979380607605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2581637501716614},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22935330867767334},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19476953148841858},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15977543592453003}],"concepts":[{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.789111852645874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7762266397476196},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.6736438870429993},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6095976829528809},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5497409105300903},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.48765838146209717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48324188590049744},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4801896810531616},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.47495555877685547},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4670979380607605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2581637501716614},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22935330867767334},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19476953148841858},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15977543592453003},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2909548","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2909548","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08691437.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c7c728a0a7b74a4ca2dc60841f4377f9","is_oa":true,"landing_page_url":"https://doaj.org/article/c7c728a0a7b74a4ca2dc60841f4377f9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 62221-62230 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2909548","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2909548","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08691437.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G4037764578","display_name":null,"funder_award_id":"61602070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7839444592","display_name":"\u79fb\u52a8\u73af\u5883\u4e0b\u57fa\u4e8e\u5f02\u6784\u7a7a\u95f4\u4fe1\u606f\u7f51\u7edc\u7684\u793e\u4f1a\u5316\u670d\u52a1\u63a8\u8350\u7814\u7a76","funder_award_id":"61672117","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2945278601.pdf","grobid_xml":"https://content.openalex.org/works/W2945278601.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1507354382","https://openalex.org/W1525800891","https://openalex.org/W1565761660","https://openalex.org/W1997852108","https://openalex.org/W2014318101","https://openalex.org/W2031305127","https://openalex.org/W2046714147","https://openalex.org/W2054141820","https://openalex.org/W2054341076","https://openalex.org/W2061698594","https://openalex.org/W2072191819","https://openalex.org/W2091381870","https://openalex.org/W2140597141","https://openalex.org/W2171075212","https://openalex.org/W2248044446","https://openalex.org/W2537653515","https://openalex.org/W2780266666","https://openalex.org/W2900510321","https://openalex.org/W2914903648","https://openalex.org/W6668311342"],"related_works":["https://openalex.org/W4292477917","https://openalex.org/W2323516465","https://openalex.org/W4238615239","https://openalex.org/W2063960996","https://openalex.org/W2085045797","https://openalex.org/W2170179501","https://openalex.org/W1998565590","https://openalex.org/W2061423566","https://openalex.org/W1597862883","https://openalex.org/W2112258407"],"abstract_inverted_index":{"Web":[0,18,24,79,189],"service":[1,8,19,27,80],"recommendation":[2,81],"based":[3,83,104,125],"on":[4,84,105,126,147],"the":[5,16,33,36,43,55,61,67,72,85,113,118,137,148,155,168,177],"quality":[6,187],"of":[7,35,117,188],"(QoS)":[9],"is":[10,39,92,99,103,144,165],"important":[11],"for":[12,136],"users":[13,73,114],"to":[14,65,71],"find":[15],"exact":[17],"among":[20],"many":[21],"functionally":[22],"similar":[23],"services.":[25],"Although":[26],"recommendations":[28],"have":[29],"been":[30],"recently":[31],"studied,":[32],"performance":[34],"existing":[37],"ones":[38],"unsatisfactory":[40],"because:":[41],"1)":[42],"current":[44],"QoS":[45,56,68,86,157,170],"predicting":[46],"algorithms":[47],"still":[48],"experience":[49],"data":[50,195],"sparsity":[51],"and":[52,59,74,88,108,115,129,132,150,161,185,191],"cannot":[53],"predict":[54],"values":[57],"accurately":[58],"2)":[60],"previous":[62],"approaches":[63],"fail":[64],"consider":[66],"variance":[69],"according":[70],"services'":[75],"locations":[76],"carefully.":[77],"A":[78],"method":[82,98,179],"prediction":[87,183],"hierarchical":[89,109,141],"tensor":[90,110,142,163],"decomposition":[91,143,164],"proposed":[93,178],"in":[94],"this":[95],"paper.":[96],"The":[97,140,172],"called":[100],"QoSHTD":[101,119],"that":[102,176],"location":[106,128],"clustering":[107],"decomposition.":[111],"First,":[112],"services":[116],"cluster":[120],"into":[121],"several":[122],"local":[123,131,149,160],"groups":[124],"their":[127],"models":[130],"global":[133,151,162],"triadic":[134,152],"tensors":[135],"user-service-time":[138],"relationship.":[139],"then":[145],"performed":[146],"tensors.":[153],"Finally,":[154],"predicted":[156],"value":[158],"through":[159],"combined":[166],"as":[167],"missing":[169],"values.":[171],"comprehensive":[173],"experiment":[174],"shows":[175],"achieves":[180],"a":[181],"high":[182],"accuracy":[184],"recommending":[186],"service,":[190],"can":[192],"partially":[193],"address":[194],"sparsity.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}