{"id":"https://openalex.org/W2884048157","doi":"https://doi.org/10.1109/tsc.2018.2859986","title":"Multiple Attributes QoS Prediction via Deep Neural Model with Contexts","display_name":"Multiple Attributes QoS Prediction via Deep Neural Model with Contexts","publication_year":2018,"publication_date":"2018-07-25","ids":{"openalex":"https://openalex.org/W2884048157","doi":"https://doi.org/10.1109/tsc.2018.2859986","mag":"2884048157"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2018.2859986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2018.2859986","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Transactions on Services Computing","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":"https://openalex.org/A5005207362","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-3696-9281"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-3696-9281","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101644731","display_name":"Zhengxin Zhang","orcid":"https://orcid.org/0000-0003-0298-2274"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxin Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0003-0298-2274","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101856144","display_name":"Jiacheng Luo","orcid":"https://orcid.org/0000-0002-8582-0707"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Luo","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-8582-0707","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041269918","display_name":"Kun Yue","orcid":"https://orcid.org/0000-0003-3641-1461"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yue","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0003-3641-1461","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035377793","display_name":"Ching\u2010Hsien Hsu","orcid":"https://orcid.org/0000-0002-2440-2771"},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Hsien Hsu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-2440-2771","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I143578492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6238,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.95527351,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"14","issue":"4","first_page":"1084","last_page":"1096"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9937000274658203,"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":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8691856861114502},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.6924086213111877},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6218215227127075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001192331314087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5726443529129028},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37968695163726807},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09681856632232666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8691856861114502},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.6924086213111877},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6218215227127075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001192331314087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5726443529129028},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37968695163726807},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09681856632232666},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsc.2018.2859986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2018.2859986","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Transactions on Services Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2926215512","display_name":null,"funder_award_id":"2016M592721","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3112539834","display_name":"\u79fb\u52a8\u4e91\u8ba1\u7b97\u4e2d\u652f\u6301\u7ec8\u7aef\u79fb\u52a8\u6027\u7684\u8ba1\u7b97\u5378\u8f7d\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61562092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4689838827","display_name":"\u60c5\u5883\u611f\u77e5\u7684\u4e91\u670d\u52a1\u8d28\u91cf\u534f\u540c\u9884\u6d4b\u4e0e\u4e2a\u6027\u5316\u63a8\u8350\u7814\u7a76","funder_award_id":"61562090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5919974124","display_name":null,"funder_award_id":"YDY17113","funder_id":"https://openalex.org/F4320324731","funder_display_name":"Yunnan University"},{"id":"https://openalex.org/G7570780301","display_name":null,"funder_award_id":"WX173602","funder_id":"https://openalex.org/F4320324731","funder_display_name":"Yunnan University"},{"id":"https://openalex.org/G8716897940","display_name":null,"funder_award_id":"61472345","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322701","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32"},{"id":"https://openalex.org/F4320322824","display_name":"Chung Hua University","ror":"https://ror.org/01yzz0f51"},{"id":"https://openalex.org/F4320324731","display_name":"Yunnan University","ror":"https://ror.org/0040axw97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1529703297","https://openalex.org/W1558424403","https://openalex.org/W1605574989","https://openalex.org/W1836465849","https://openalex.org/W2006404195","https://openalex.org/W2013029404","https://openalex.org/W2014318101","https://openalex.org/W2021786400","https://openalex.org/W2028656035","https://openalex.org/W2030239032","https://openalex.org/W2038194220","https://openalex.org/W2054341076","https://openalex.org/W2060017308","https://openalex.org/W2060836686","https://openalex.org/W2089419957","https://openalex.org/W2091381870","https://openalex.org/W2094286023","https://openalex.org/W2095705004","https://openalex.org/W2104185402","https://openalex.org/W2114821336","https://openalex.org/W2119264846","https://openalex.org/W2119462974","https://openalex.org/W2137245235","https://openalex.org/W2140597141","https://openalex.org/W2160494060","https://openalex.org/W2161182042","https://openalex.org/W2162983389","https://openalex.org/W2169970157","https://openalex.org/W2184188583","https://openalex.org/W2295633004","https://openalex.org/W2323283582","https://openalex.org/W2473015933","https://openalex.org/W2521609604","https://openalex.org/W2523020607","https://openalex.org/W2523246573","https://openalex.org/W2523379725","https://openalex.org/W2524052287","https://openalex.org/W2539391377","https://openalex.org/W2548570154","https://openalex.org/W2611027303","https://openalex.org/W2738639449","https://openalex.org/W2919115771","https://openalex.org/W2963323306","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6686207219","https://openalex.org/W6727249380","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474"],"abstract_inverted_index":{"In":[0,84],"recent":[1],"years,":[2],"various":[3,146],"collaborative":[4,54,179],"QoS":[5,55,80,152,180],"prediction":[6,48,56,81,122,166,181],"methods":[7],"have":[8,68],"been":[9],"put":[10],"forward":[11],"to":[12,41,46,52,96,143,149],"coping":[13],"with":[14,82,107,136,145,176],"the":[15,26,62,101,114,118,131,177,184],"demand":[16],"for":[17,76],"efficient":[18],"quality-of-service":[19],"(QoS)":[20],"evaluation,":[21],"by":[22,61,125],"drawing":[23],"lessons":[24],"from":[25,156],"recommender":[27],"systems.":[28],"However,":[29],"there":[30],"still":[31],"remain":[32],"some":[33],"challenging":[34],"issues":[35],"on":[36,130,193],"this":[37,85],"direction,":[38],"as":[39],"how":[40,51],"effectively":[42],"exploit":[43],"complex":[44],"contexts":[45],"improve":[47],"accuracy,":[49],"and":[50,117,191],"realize":[53,150],"of":[57,64,170],"multiple":[58,78],"attributes.":[59],"Inspired":[60],"principles":[63],"deep":[65,72],"learning,":[66],"we":[67],"proposed":[69],"a":[70,92,140,157,188],"universal":[71],"neural":[73,133],"model":[74,186],"(DNM)":[75],"making":[77],"attributes":[79],"contexts.":[83],"model,":[86],"contextual":[87,105,147,196],"features":[88,106,148],"are":[89,111],"mapped":[90],"into":[91],"shared":[93,132],"latent":[94],"space":[95],"semantically":[97],"characterize":[98],"them":[99],"in":[100,168],"embedding":[102],"layer.":[103],"The":[104],"their":[108],"higher-order":[109],"interactions":[110],"captured":[112],"through":[113],"interaction":[115],"layer":[116],"perception":[119,128],"layers.":[120,134],"Multi-tasks":[121],"is":[123],"realized":[124],"stacking":[126],"task-specific":[127],"layers":[129],"Armed":[135],"these,":[137],"DNM":[138,163,185],"provides":[139],"powerful":[141],"framework":[142],"integrate":[144],"multi-attributes":[151],"prediction.":[153],"Experimental":[154],"results":[155],"large-scale":[158],"QoS-specific":[159],"dataset":[160],"demonstrate":[161],"that":[162],"achieves":[164],"superior":[165],"accuracy":[167],"term":[169],"mean":[171],"absolute":[172],"error":[173],"(MAE)":[174],"compared":[175],"state-of-the-art":[178],"techniques.":[182],"Additionally,":[183],"has":[187],"good":[189],"robustness":[190],"extensibility":[192],"exploiting":[194],"heterogeneous":[195],"features.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}