Social collaborative service recommendation approach based on user’s trust and domain-specific expertise

Kalaï, Ahlem; Zayani, Corinne Amel; Amous, Ikram; Abdelghani, Wafa; Sèdes, Florence

doi:10.1016/j.future.2017.05.036

Cited by 52 publications

(25 citation statements)

References 41 publications

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“…To better evaluate the quality of service recommendation, two measurement metrics are chosen: mean absolute error (MAE) and root mean square error (RMSE), which can be expressed as Equations (9) and (10), respectively. MAE is one of the widely used recommendation quality metrics in the recommendation system, which can intuitively reflect the actual situation of the prediction error.…”

Section: Methodsmentioning

confidence: 99%

“…Recent research shows that mining and leveraging user trust relationship to improve the performance of service recommendation is a feasible and effective method. In [10], a complementary service recommendation method which starts with the level of trust and the expert authority of trust is proposed. This method first realizes trust detection through the similarity of users' interests to narrow down the scope of recommended objects, and then solves the problem of professional disorientation through the recommendation of authoritative experts in specific professional fields.…”

Section: Related Workmentioning

confidence: 99%

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A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships

2019

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Service recommendation is one of the important means of service selection. Aiming at the problems of ignoring the influence of typical data sources such as service information and interaction logs on the similarity calculation of user preferences and insufficient consideration of dynamic trust relationship in traditional trust-based Web service recommendation methods, a novel approach for Web service recommendation based on advanced trust relationships is presented. After considering the influence of indirect trust paths, the improved calculation about indirect trust degree is proposed. By quantifying the popularity of service, the method of calculating user preference similarity is investigated. Furthermore, the dynamic adjustment mechanism of trust is designed by differentiating the effect of each service recommendation. Integrating these efforts, a service recommendation mechanism is introduced, in which a new service recommendation algorithm is described. Experimental results show that, compared with existing methods, the proposed approach not only has higher accuracy of service recommendation, but also can resist attacks from malicious users more effectively.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships

2019

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“…Other areas of research in trustworthy computing include trustworthy computing models in IoT [38], trustworthy computing problems in SOA [39], the influence of uncertainty on trustworthy computing [40], trustworthy computing problem in the social network [41][42][43][44], and so on.…”

Section: Trustworthy Cloud Servicementioning

confidence: 99%

Research on a Trustworthiness Measurement Method of Cloud Service Construction Processes Based on Information Entropy

Gao

Yang

et al. 2019

Entropy

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The popularity of cloud computing has made cloud services gradually become the leading computing model nowadays. The trustworthiness of cloud services depends mainly on construction processes. The trustworthiness measurement of cloud service construction processes (CSCPs) is crucial for cloud service developers. It can help to find out the causes of failures and to improve the development process, thereby ensuring the quality of cloud service. Herein, firstly, a trustworthiness hierarchy model of CSCP was proposed, and the influential factors of the processes were identified following the international standard ISO/IEC 12207 of the software development process.Further, a method was developed combined with the theory of information entropy and the concept of trustworthiness. It aimed to calculate the risk uncertainty and risk loss expectation affecting trustworthiness. Also, the trustworthiness of cloud service and its main construction processes were calculated. Finally, the feasibility of the measurement method were verified through a case study, and through comparing with AHP and CMM/CMMI methods, the advantages of this method were embodied. Carnegie-Mellon University and the National Defense Industry Association. The two models classified the development stages of software organizations in practice as defining, implementing, measuring, controlling and improving software products. However, only a framework was put forward, extracting no specific knowledge of each key process area and failing to quantify the quality of a specific process. Also, the two models are primarily used to evaluate the degree of process management practices of a development organization, involving many contents, and being time-consuming and costly. As a result, small and medium-sized software companies, even some large ones, face challenges to meet relevant requirements and standards. For most software development organizations, what they need is an objective, quantitative, real and easy-to-implement measurement method. The method should enable them to find the weak links in the cloud service construction process (CSCP), and then carry out subsequent improvement or reinforcement, thus reducing the probability of institutional failure and improving product quality. Other primary software process measurement methods include Goal-driven Software Measurement (GSM) [7], Practical software measurement (PSM) [8,9], and Statistical Process Control (SPC) [10]. Based on the characteristics of the CMM and GQM model [11], reference [12] established a software process framework supporting metrics and gave the metrics of software process improvement. However, it did not give the exact measurement steps for the software development process. Reference [13] discussed the significant problems in software process measurement and presented an active measurement model (AMM) to support software process improvement (SPI). It emphasized the measurement of quality, maintainability and stability of the software products, rather than the processes. To find the pro...

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“…A. Kalaï et al [17] present a Web service decentralized discovery approach which is based on two complementary mechanisms. The trust detection is the first mechanism to detect the social trust level among users.…”

Section: Social Collaborative Service Recommendation Approach Basementioning

confidence: 99%

Service-Oriented System Engineering

Bessis

Zhai

Sotiriadis

2018

Future Generation Computer Systems

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Social collaborative service recommendation approach based on user’s trust and domain-specific expertise

Abstract: OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.

Cited by 52 publications

References 41 publications

A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships

A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships

Research on a Trustworthiness Measurement Method of Cloud Service Construction Processes Based on Information Entropy

Service-Oriented System Engineering

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