Abstract
Existing approaches to service ranking and selection evaluate the suitability of available services for a given request based on the advertisement created by the service provider. They will compare how well the advertisement matches the service request and will choose the service with the best matching advertisement. Unfortunately, at this point in time, it is uncertain whether the service that will actually be performed will match the request as well as the advertisement promised. In this paper, we present an approach that reduces the degree of this uncertainty by taking previous experiences with the service provider (which reflect the performance of the actual service not the advertisement) into account. Contrary to many other approaches our solution accounts for the subjective nature of rating-based experiences by considering the preferences of the experience creators. Moreover it exploits the number of available experiences more effectively by considering not only experiences for a given service, but also experiences for similar services of the same provider. Our solution utilizes indirect user information and avoids explicit sharing of personal consumer information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Küster, U., König-Ries, B.: Supporting Dynamics in Service Descriptions - The Key to Automatic Service Usage. In: 5th International Conference on Service Oriented Computing, Vienna (2007)
Josang, A., Ismail, R., Boyd, C.: A Survey of Trust and Reputation Systems for Online Service Provision. Decis. Support Syst. 43(2), 618–644 (2007)
Kerrigan, M.: Web Service Selection Mechanisms in the Web Service Execution Environment (WSMX). In: 21st ACM Symposium on Applied Computing, Dijon, pp. 1664–1668 (2006)
Kokash, N., Birukou, A., D’Andrea, V.: Web Service Discovery Based on Past User Experience. In: Abramowicz, W. (ed.) BIS 2007. LNCS, vol. 4439, pp. 95–107. Springer, Heidelberg (2007)
Billhardt, H., Hermoso, R., Ossowski, S., Centeno, R.: Trust-based Service Provider Selection in Open Environments. In: 22nd ACM Symposium on Applied Computing, Seoul, pp. 1375–1380 (2007)
Maximilien, E.M., Singh, M.P.: Conceptual Model of Web Service Reputation. SIGMOD Rec. 31(4), 36–41 (2002)
Sensoy, M., Pembe, F.C. (eds.): Experience-Based Service Provider Selection in Agent-Mediated E-Commerce. Eng. Appl. Artif. Intell. 20(3), 325–335 (2007)
Vu, L.-H., Hauswirth, M., Aberer, K.: QoS-based Service Selection and Ranking with Trust and Reputation Management. In: Meersman, R., Tari, Z. (eds.) OTM 2005. LNCS, vol. 3760, pp. 446–483. Springer, Heidelberg (2005)
Vu, L.-H., Porto, F., Hauswirth, M., Aberer, K.: An Extensible and Personalized Approach to QoS-enabled Service Discovery. In: 11th Intl. Database Engineering & Applications Symposium, Banff (2007)
Caballero, A., Bota, J.A., Gmez-Skarmeta, A.F.: On the Behaviour of the TRSIM Model for Trust and Reputation. In: 5th German Conf. on Multiagent System Technologies, Leipzig, pp. 182–193 (2007)
Manikrao, U.S., Prabhakar, T.V.: Dynamic Selection of Web Services with Recommendation System. In: Intl. Conf. on Next Generation Web Services Practices, p. 117. IEEE Computer Society, Washington (2005)
Wang, H.-C., Lee, C.-S., Ho, T.-H.: Combining Subjective and Objective QoS Factors for Personalized Web Service Selection. Expert Syst. Appl. 32(2), 571–584 (2007)
Küster, U., König-Ries, B.: Semantic Service Discovery with DIANE Service Descriptions. In: Intl. Workshop on Service Composition & SWS Challenge at the WI 2007, Silicon Valley (2007)
Klein, M., König-Ries, B., Müssig, M.: What is Needed for Semantic Service Descriptions? A Proposal for Suitable Language Constructs. Int. J. of Web and Grid Services 1(3/4), 328–364 (2005)
Stollberg, M., Hepp, M., Hoffmann, J.: A Caching Mechanism for Semantic Web Service Discovery. In: ISWC/ASWC, pp. 480–493 (2007)
Obreiter, P., König-Ries, B.: A New View on Normativeness in Distributed Reputation Systems - Beyond Behavioral Beliefs. In: 4th Intl. Workshop on Agents and Peer-to-Peer Computing, Utrecht (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Klan, F., König-Ries, B. (2008). A Personalized Approach to Experience-Aware Service Ranking and Selection. In: Greco, S., Lukasiewicz, T. (eds) Scalable Uncertainty Management. SUM 2008. Lecture Notes in Computer Science(), vol 5291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87993-0_22
Download citation
DOI: https://doi.org/10.1007/978-3-540-87993-0_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87992-3
Online ISBN: 978-3-540-87993-0
eBook Packages: Computer ScienceComputer Science (R0)