Service Selection Decision Support in the Internet of Services

With the emergence of service provisioning infrastructures and the networking capabilities of the web the IT world has been enhanced with the dynamics to support a market of services, where the number of providers and customers is potentially unbounded, also known as Internet of Services. In that frame, the customer comes against the problem of selecting a service from a plethora of available ones. This paper advocates that the large number of customers can provide the solution to this problem, by exploiting the experience of those that present similar behavior when they are asked to rate a provided service.

[1]  David De Roure,et al.  Experiences with GRIA - Industrial Applications on a Web Services Grid , 2005, e-Science.

[2]  Sebastian Ries,et al.  Analyzing the Robustness of CertainTrust , 2008, IFIPTM.

[3]  John Riedl,et al.  Recommender systems in e-commerce , 1999, EC '99.

[4]  Rajkumar Buyya,et al.  GridBank: a Grid Accounting Services Architecture (GASA) for distributed systems sharing and integration , 2002, Proceedings International Parallel and Distributed Processing Symposium.

[5]  Alfred Kobsa,et al.  The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.

[6]  Rajkumar Buyya,et al.  A grid service broker for scheduling distributed data-oriented applications on global grids , 2004, MGC '04.

[7]  Dan Frankowski,et al.  Collaborative Filtering Recommender Systems , 2007, The Adaptive Web.

[8]  Tharam S. Dillon,et al.  Fuzzy Decision Support for Service Selection in E-Business Environments , 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

[9]  K. Park,et al.  Quality of service provision in noncooperative networks with diverse user requirements , 2000, Decis. Support Syst..

[10]  David Masclet,et al.  Is the Ebay Feedback System Really Efficient? An Experimental Study , 2008 .

[11]  R. Kohli,et al.  Internet Recommendation Systems , 2000 .

[12]  Xuehai Zhou,et al.  Reputation Based Service Selection in Grid Environment , 2008, 2008 International Conference on Computer Science and Software Engineering.

[13]  Robin Burke,et al.  Integrating Knowledge-based and Collaborative-filtering Recommender Systems , 2000 .

[14]  Tharam S. Dillon,et al.  Fuzzy nature of trust and dynamic trust modeling in service oriented environments , 2005, SWS '05.

[15]  Paul Resnick,et al.  Recommender systems , 1997, CACM.

[16]  Theodora Varvarigou,et al.  Service selection and workflow mapping for Grids: an approach exploiting quality-of-service information , 2009 .

[17]  Eric Horvitz,et al.  Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach , 2000, UAI.

[18]  Jonathan L. Herlocker,et al.  Evaluating collaborative filtering recommender systems , 2004, TOIS.

[19]  Qunxiong Zhu,et al.  Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space , 2006, Decis. Support Syst..

[20]  Naren Ramakrishnan,et al.  Privacy Risks in Recommender Systems , 2001, IEEE Internet Comput..

[21]  Francis Wray,et al.  NextGRID Architectural Concepts , 2007, CoreGRID.

[22]  W. Weibull.  A Statistical Distribution Function of Wide Applicability , 1951 .

[23]  David Heckerman,et al.  Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.