Singular value decomposition‐based behavior‐aware cloud service application programming interfaces recommendation for large‐scale software cloud directory platforms
Summary With the development of Internet technology and the cloud service industry, an increasing number of application programming interfaces (APIs) hosted in the cloud has been made publicly available. To facilitate cloud service APIs vendors and buyers, some large‐scale software cloud directory p...
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| Veröffentlicht in: | Concurrency and computation Jg. 34; H. 21 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Hoboken
Wiley Subscription Services, Inc
25.09.2022
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| ISSN: | 1532-0626, 1532-0634 |
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| Abstract | Summary
With the development of Internet technology and the cloud service industry, an increasing number of application programming interfaces (APIs) hosted in the cloud has been made publicly available. To facilitate cloud service APIs vendors and buyers, some large‐scale software cloud directory platforms have been established. Nevertheless, it is difficult for users to choose for renting from a massive number of cloud service APIs with similar functionalities in a software cloud directory platform. Recent efforts in building cloud service APIs recommender systems can help address this challenge. Relevant existing recommendation approaches are designed based on requirement election techniques to identify users' preferences to the quality of service (QoS) of the APIs. In particular, users' preferences are mainly obtained through their self‐description, in which users sometimes cannot accurately and completely express their preferences. In this article, we propose SVD‐APIR, a singular value decomposition (SVD)‐based behavior‐aware cloud service APIs recommendation approach for large‐scale software cloud directory platforms. In SVD‐APIR, users' historical behavior information is captured and APIs' association information is analyzed to identify the users' potential preferences to the APIs with specific QoS. A unified SVD model is utilized to prioritize the users preferred APIs. Experimental evaluation results conducted on WS‐Dream dataset demonstrate the effectiveness and efficiency of the proposed approach. |
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| AbstractList | With the development of Internet technology and the cloud service industry, an increasing number of application programming interfaces (APIs) hosted in the cloud has been made publicly available. To facilitate cloud service APIs vendors and buyers, some large‐scale software cloud directory platforms have been established. Nevertheless, it is difficult for users to choose for renting from a massive number of cloud service APIs with similar functionalities in a software cloud directory platform. Recent efforts in building cloud service APIs recommender systems can help address this challenge. Relevant existing recommendation approaches are designed based on requirement election techniques to identify users' preferences to the quality of service (QoS) of the APIs. In particular, users' preferences are mainly obtained through their self‐description, in which users sometimes cannot accurately and completely express their preferences. In this article, we propose SVD‐APIR, a singular value decomposition (SVD)‐based behavior‐aware cloud service APIs recommendation approach for large‐scale software cloud directory platforms. In SVD‐APIR, users' historical behavior information is captured and APIs' association information is analyzed to identify the users' potential preferences to the APIs with specific QoS. A unified SVD model is utilized to prioritize the users preferred APIs. Experimental evaluation results conducted on WS‐Dream dataset demonstrate the effectiveness and efficiency of the proposed approach. Summary With the development of Internet technology and the cloud service industry, an increasing number of application programming interfaces (APIs) hosted in the cloud has been made publicly available. To facilitate cloud service APIs vendors and buyers, some large‐scale software cloud directory platforms have been established. Nevertheless, it is difficult for users to choose for renting from a massive number of cloud service APIs with similar functionalities in a software cloud directory platform. Recent efforts in building cloud service APIs recommender systems can help address this challenge. Relevant existing recommendation approaches are designed based on requirement election techniques to identify users' preferences to the quality of service (QoS) of the APIs. In particular, users' preferences are mainly obtained through their self‐description, in which users sometimes cannot accurately and completely express their preferences. In this article, we propose SVD‐APIR, a singular value decomposition (SVD)‐based behavior‐aware cloud service APIs recommendation approach for large‐scale software cloud directory platforms. In SVD‐APIR, users' historical behavior information is captured and APIs' association information is analyzed to identify the users' potential preferences to the APIs with specific QoS. A unified SVD model is utilized to prioritize the users preferred APIs. Experimental evaluation results conducted on WS‐Dream dataset demonstrate the effectiveness and efficiency of the proposed approach. |
| Author | Wang, Lei Zhang, Yunqiu Chen, Shuhan Yu, Qi Ding, Junyao Zheng, Xubin |
| Author_xml | – sequence: 1 givenname: Lei orcidid: 0000-0002-1511-7266 surname: Wang fullname: Wang, Lei email: leiwangchn@163.com organization: Nanjing Forestry University – sequence: 2 givenname: Yunqiu surname: Zhang fullname: Zhang, Yunqiu organization: Nanjing Forestry University – sequence: 3 givenname: Xubin surname: Zheng fullname: Zheng, Xubin organization: The Chinese University of Hong Kong – sequence: 4 givenname: Qi surname: Yu fullname: Yu, Qi organization: Rochester Institute of Technology – sequence: 5 givenname: Shuhan surname: Chen fullname: Chen, Shuhan organization: Nanjing Forestry University – sequence: 6 givenname: Junyao surname: Ding fullname: Ding, Junyao organization: Nanjing Forestry University |
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| Cites_doi | 10.1109/SCC.2014.47 10.1109/TSC.2015.2480393 10.1109/TSC.2010.52 10.1007/s10115-013-0723-x 10.1016/j.dss.2017.12.012 10.1016/j.eswa.2016.01.010 10.1109/TPDS.2013.246 10.1109/TSC.2016.2636285 10.1109/TSC.2020.3046360 10.1007/s10489-021-02553-6 10.1017/CBO9781139924801 10.1109/TPDS.2018.2885746 10.1109/TSC.2016.2592903 10.1016/j.jss.2020.110902 10.1109/TCSS.2019.2906925 10.1016/j.future.2020.08.014 10.1145/2983528 10.1109/TPDS.2019.2917900 10.1002/cpe.5450 10.1016/j.knosys.2016.02.016 10.1109/TPDS.2018.2877363 10.1109/TSC.2016.2584058 10.1109/CCGrid.2015.144 10.1109/JSAC.2017.2760458 10.1016/j.knosys.2018.02.014 10.1002/cpe.5462 10.1109/ICWS.2015.60 10.1109/TSE.2016.2615615 10.1145/2911451.2911538 10.1109/TSC.2016.2602203 10.1016/j.eswa.2019.01.025 10.1016/j.future.2019.02.063 10.1002/cpe.5195 10.1016/j.jpdc.2018.04.002 10.1016/j.ins.2018.11.030 10.1016/j.dss.2016.09.001 10.1016/j.knosys.2016.09.033 10.1109/TSC.2015.2433251 10.1109/TNSM.2017.2693324 |
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| Notes | Funding information Humanity and Social Science Youth Fund of Ministry of Education of China, Grant/Award Number: 18YJCZH170; Innovative Training Program for College Students in Jiangsu Province, Grant/Award Number: 202110298077Y; Six Talent Peaks Project in Jiangsu Province in 2019, Grant/Award Number: RJFW‐029 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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| References | 2013; 26 2019; 6 2017; 60 2019; 31 2019; 97 2019; 30 2018; 107 2017; 43 2018; 147 2016; 53 2016; 100 2020; 14 2020; 13 2020; 32 2011; 4 2015; 9 2019; 480 2017; 115 2019; 123 2016; 12 2017; 93 2017; 14 2021; 114 2020 2017; 35 2015; 43 2018; 30 2022; 52 2021; 174 2014 2018; 11 2019; 132 e_1_2_10_23_1 e_1_2_10_24_1 e_1_2_10_21_1 e_1_2_10_22_1 e_1_2_10_42_1 e_1_2_10_20_1 e_1_2_10_41_1 e_1_2_10_40_1 Aljumah A (e_1_2_10_31_1) 2020; 14 e_1_2_10_2_1 e_1_2_10_18_1 e_1_2_10_3_1 e_1_2_10_19_1 e_1_2_10_6_1 e_1_2_10_16_1 e_1_2_10_39_1 e_1_2_10_5_1 e_1_2_10_17_1 e_1_2_10_38_1 e_1_2_10_8_1 e_1_2_10_14_1 e_1_2_10_37_1 e_1_2_10_7_1 e_1_2_10_15_1 e_1_2_10_36_1 e_1_2_10_12_1 e_1_2_10_35_1 e_1_2_10_9_1 e_1_2_10_13_1 e_1_2_10_34_1 e_1_2_10_10_1 e_1_2_10_33_1 e_1_2_10_11_1 e_1_2_10_32_1 e_1_2_10_30_1 Wang Y (e_1_2_10_4_1) 2020; 13 e_1_2_10_29_1 e_1_2_10_27_1 e_1_2_10_28_1 e_1_2_10_25_1 e_1_2_10_26_1 |
| References_xml | – volume: 32 issue: 5 year: 2020 article-title: A personalized range‐sensitive privacy‐preserving scheme in LBSs publication-title: Concurr Comput Pract Exp – volume: 107 start-page: 103 year: 2018 end-page: 115 article-title: Time‐aware cloud service recommendation using similarity‐enhanced collaborative filtering and ARIMA model publication-title: Dec Support Syst – volume: 53 start-page: 75 year: 2016 end-page: 86 article-title: Context‐aware QoS prediction for web service recommendation and selection publication-title: Exp Syst Appl – volume: 9 start-page: 686 issue: 5 year: 2015 end-page: 699 article-title: Location‐aware and personalized collaborative filtering for web service recommendation publication-title: IEEE Trans Serv Comput – volume: 11 start-page: 644 issue: 4 year: 2018 end-page: 657 article-title: Effective bigdata‐space service selection over trust and heterogeneous QoS preferences publication-title: IEEE Trans Serv Comput – volume: 60 start-page: 64 issue: 4 year: 2017 end-page: 72 article-title: A service computing manifesto: the next 10 years publication-title: Commun ACM – volume: 13 start-page: 1045 issue: 6 year: 2020 end-page: 1058 article-title: Efficient QoS‐aware service recommendation for multi‐tenant service‐based systems in cloud publication-title: IEEE Trans Serv Comput – volume: 12 start-page: 47 issue: 1 year: 2016 end-page: 57 article-title: Multi‐dimensional QoS prediction for service recommendations publication-title: IEEE Trans Serv Comput – volume: 14 start-page: 1185 year: 2020 end-page: 1191 article-title: Cyber security threats, challenges and defense mechanisms in cloud computing publication-title: IET Softw – volume: 12 start-page: 304 issue: 2 year: 2016 end-page: 318 article-title: Understanding mobile users's privacy expectations: a recommendation‐based method through crowdsourcing publication-title: IEEE Trans Serv Comput – volume: 35 start-page: 2616 issue: 11 year: 2017 end-page: 2624 article-title: A distributed locality‐sensitive hashing‐based approach for cloud service recommendation from multi‐source data publication-title: IEEE J Select Areas Commun – volume: 97 start-page: 387 year: 2019 end-page: 396 article-title: Cloud service recommendation based on unstructured textual information publication-title: Future Gener Comput Syst – volume: 43 start-page: 556 issue: 6 year: 2017 end-page: 579 article-title: Online reliability prediction via motifs‐based dynamic bayesian networks for service‐oriented systems publication-title: IEEE Trans Softw Eng – volume: 30 start-page: 1077 issue: 5 year: 2018 end-page: 1090 article-title: Functional and contextual attention‐based LSTM for service recommendation in Mashup creation publication-title: IEEE Trans Parallel Distrib Syst – volume: 12 start-page: 144 issue: 1 year: 2016 end-page: 157 article-title: A cloud brokerage architecture for efficient cloud service selection publication-title: IEEE Trans Serv Comput – volume: 4 start-page: 140 issue: 2 year: 2011 end-page: 152 article-title: Qos‐aware web service recommendation by collaborative filtering publication-title: IEEE Trans Serv Comput – volume: 31 issue: 17 year: 2019 article-title: Leveraging contextual information for cold‐start web service recommendation publication-title: Concurr Comput Pract Exp – volume: 43 start-page: 417 issue: 2 year: 2015 end-page: 443 article-title: CloudRec: a framework for personalized service recommendation in the cloud publication-title: Knowl Inf Syst – volume: 52 start-page: 2671 issue: 3 year: 2022 end-page: 2689 article-title: Trustworthiness two‐way games via margin policy in E‐commerce platforms publication-title: Appl Intell – volume: 114 start-page: 336 year: 2021 end-page: 348 article-title: Privacy‐preserving quality prediction for edge‐based IoT services publication-title: Future Gener Comput Syst – year: 2014 – volume: 30 start-page: 2408 issue: 11 year: 2019 end-page: 2421 article-title: Architecture‐based reliability‐sensitive criticality measure for fault‐tolerance cloud applications publication-title: IEEE Trans Parallel Distrib Syst – volume: 6 start-page: 1063 issue: 5 year: 2019 end-page: 1072 article-title: Finding all you need: web APIS recommendation in web of things through keywords search publication-title: IEEE Trans Comput Soc Syst – volume: 12 start-page: 262 issue: 2 year: 2016 end-page: 275 article-title: QoS‐aware service selection using an incentive mechanism publication-title: IEEE Trans Serv Comput – volume: 147 start-page: 25 year: 2018 end-page: 35 article-title: Service recommendation based on quotient space granularity analysis and covering algorithm on spark publication-title: Knowl Based Syst – volume: 480 start-page: 354 year: 2019 end-page: 364 article-title: Time‐aware distributed service recommendation with privacy‐preservation publication-title: Inf Sci – volume: 132 start-page: 177 year: 2019 end-page: 189 article-title: QoS‐aware service recommendation based on relational topic model and factorization machines for IoT Mashup applications publication-title: J Parallel Distrib Comput – year: 2020 article-title: Temporal‐perturbation aware reliability sensitivity measurement for adaptive cloud service selection publication-title: IEEE Trans Serv Comput – volume: 100 start-page: 124 year: 2016 end-page: 136 article-title: Preference recommendation for personalized search publication-title: Knowl Based Syst – volume: 26 start-page: 455 issue: 2 year: 2013 end-page: 466 article-title: HireSome‐II: towards privacy‐aware cross‐cloud service composition for big data applications publication-title: IEEE Trans Parallel Distrib Syst – volume: 115 start-page: 55 year: 2017 end-page: 65 article-title: TAP: a personalized trust‐aware QoS prediction approach for web service recommendation publication-title: Knowl Based Syst – volume: 14 start-page: 332 issue: 2 year: 2017 end-page: 342 article-title: A new QoS‐aware web service recommendation system based on contextual feature recognition at server‐side publication-title: IEEE Trans Netw Serv Manag – volume: 174 year: 2021 article-title: Concept drift‐aware temporal cloud service APIs recommendation for building composite cloud systems publication-title: J Syst Softw – volume: 123 start-page: 178 year: 2019 end-page: 194 article-title: An integrated service recommendation approach for service‐based system development publication-title: Exp Syst Appl – volume: 32 issue: 2 year: 2020 article-title: Efficient privacy‐preserving scheme supporting disjunctive multi‐keyword search with ranking publication-title: Concurr Comput Pract Exp – volume: 93 start-page: 1 year: 2017 end-page: 10 article-title: Utilizing customer satisfaction in ranking prediction for personalized cloud service selection publication-title: Decis Support Syst – volume: 30 start-page: 1403 issue: 6 year: 2018 end-page: 1420 article-title: Smart contract‐based negotiation for adaptive QoS‐aware service composition publication-title: IEEE Trans Parallel Distrib Syst – ident: e_1_2_10_36_1 doi: 10.1109/SCC.2014.47 – ident: e_1_2_10_10_1 doi: 10.1109/TSC.2015.2480393 – ident: e_1_2_10_9_1 doi: 10.1109/TSC.2010.52 – ident: e_1_2_10_7_1 doi: 10.1007/s10115-013-0723-x – ident: e_1_2_10_16_1 doi: 10.1016/j.dss.2017.12.012 – ident: e_1_2_10_21_1 doi: 10.1016/j.eswa.2016.01.010 – ident: e_1_2_10_8_1 doi: 10.1109/TPDS.2013.246 – ident: e_1_2_10_28_1 doi: 10.1109/TSC.2016.2636285 – ident: e_1_2_10_35_1 doi: 10.1109/TSC.2020.3046360 – volume: 13 start-page: 1045 issue: 6 year: 2020 ident: e_1_2_10_4_1 article-title: Efficient QoS‐aware service recommendation for multi‐tenant service‐based systems in cloud publication-title: IEEE Trans Serv Comput – ident: e_1_2_10_23_1 doi: 10.1007/s10489-021-02553-6 – ident: e_1_2_10_33_1 doi: 10.1017/CBO9781139924801 – ident: e_1_2_10_27_1 doi: 10.1109/TPDS.2018.2885746 – ident: e_1_2_10_34_1 doi: 10.1109/TSC.2016.2592903 – ident: e_1_2_10_6_1 doi: 10.1016/j.jss.2020.110902 – ident: e_1_2_10_2_1 doi: 10.1109/TCSS.2019.2906925 – ident: e_1_2_10_29_1 doi: 10.1016/j.future.2020.08.014 – ident: e_1_2_10_11_1 doi: 10.1145/2983528 – ident: e_1_2_10_3_1 doi: 10.1109/TPDS.2019.2917900 – ident: e_1_2_10_15_1 doi: 10.1002/cpe.5450 – ident: e_1_2_10_24_1 doi: 10.1016/j.knosys.2016.02.016 – ident: e_1_2_10_18_1 doi: 10.1109/TPDS.2018.2877363 – volume: 14 start-page: 1185 year: 2020 ident: e_1_2_10_31_1 article-title: Cyber security threats, challenges and defense mechanisms in cloud computing publication-title: IET Softw – ident: e_1_2_10_22_1 doi: 10.1109/TSC.2016.2584058 – ident: e_1_2_10_30_1 doi: 10.1109/CCGrid.2015.144 – ident: e_1_2_10_32_1 doi: 10.1109/JSAC.2017.2760458 – ident: e_1_2_10_20_1 doi: 10.1016/j.knosys.2018.02.014 – ident: e_1_2_10_13_1 doi: 10.1002/cpe.5462 – ident: e_1_2_10_25_1 doi: 10.1109/ICWS.2015.60 – ident: e_1_2_10_5_1 doi: 10.1109/TSE.2016.2615615 – ident: e_1_2_10_38_1 doi: 10.1145/2911451.2911538 – ident: e_1_2_10_26_1 doi: 10.1109/TSC.2016.2602203 – ident: e_1_2_10_40_1 doi: 10.1016/j.eswa.2019.01.025 – ident: e_1_2_10_39_1 doi: 10.1016/j.future.2019.02.063 – ident: e_1_2_10_12_1 doi: 10.1002/cpe.5195 – ident: e_1_2_10_41_1 doi: 10.1016/j.jpdc.2018.04.002 – ident: e_1_2_10_42_1 doi: 10.1016/j.ins.2018.11.030 – ident: e_1_2_10_37_1 doi: 10.1016/j.dss.2016.09.001 – ident: e_1_2_10_17_1 doi: 10.1016/j.knosys.2016.09.033 – ident: e_1_2_10_14_1 doi: 10.1109/TSC.2015.2433251 – ident: e_1_2_10_19_1 doi: 10.1109/TNSM.2017.2693324 |
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With the development of Internet technology and the cloud service industry, an increasing number of application programming interfaces (APIs) hosted in... With the development of Internet technology and the cloud service industry, an increasing number of application programming interfaces (APIs) hosted in the... |
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| Title | Singular value decomposition‐based behavior‐aware cloud service application programming interfaces recommendation for large‐scale software cloud directory platforms |
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