Abstract
Web-based environments typically span interactions between humans and software services. The management and automatic calculation of trust are among the key challenges of the future service-oriented Web. Trust management systems in large-scale systems, for example, social networks or service-oriented environments determine trust between actors by either collecting manual feedback ratings or by mining their interactions. However, most systems do not support bootstrapping of trust. In this paper we propose techniques and algorithms enabling the prediction of trust even when only few or no ratings have been collected or interactions captured. We introduce the concepts of mirroring and teleportation of trust facilitating the evolution of cooperation between various actors. We assume a user-centric environment, where actors express their opinions, interests and expertises by selecting and tagging resources. We take this information to construct tagging profiles, whose similarities are utilized to predict potential trust relations. Most existing similarity approaches split the three-dimensional relations between users, resources, and tags, to create and compare general tagging profiles directly. Instead, our algorithms consider (i) the understandings and interests of actors in tailored subsets of resources and (ii) the similarity of resources from a certain actor-group’s point of view.
This work is supported by the European Union through the FP7-216256 project COIN.
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References
Grandison, T., Sloman, M.: A survey of trust in internet applications. IEEE Communications Surveys and Tutorials 3(4) (2000)
Jøsang, A., Ismail, R., Boyd, C.: A survey of trust and reputation systems for online service provision. Decision Support Systems 43(2), 618–644 (2007)
Ruohomaa, S., Kutvonen, L.: Trust management survey. In: Herrmann, P., Issarny, V., Shiu, S.C.K. (eds.) iTrust 2005. LNCS, vol. 3477, pp. 77–92. Springer, Heidelberg (2005)
Skopik, F., Schall, D., Dustdar, S.: The cycle of trust in mixed service-oriented systems. In: Euromicro SEAA (2009)
Skopik, F., Truong, H.L., Dustdar, S.: Trust and reputation mining in professional virtual communities. In: ICWE, pp. 76–90 (2009)
Artz, D., Gil, Y.: A survey of trust in computer science and the semantic web. J. Web Sem. 5(2), 58–71 (2007)
Ziegler, C.N., Golbeck, J.: Investigating interactions of trust and interest similarity. Decision Support Systems 43(2), 460–475 (2007)
Matsuo, Y., Yamamoto, H.: Community gravity: Measuring bidirectional effects by trust and rating on online social networks. In: WWW, pp. 751–760 (2009)
Shepitsen, A., Gemmell, J., Mobasher, B., Burke, R.: Personalized recommendation in social tagging systems using hierarchical clustering. In: RecSys, pp. 259–266. ACM, New York (2008)
Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing and Management 24(5), 513–523 (1988)
Deerwester, S., Dumais, S., Furnas, G., Landauer, T., Harshman, R.: Indexing by latent semantic analysis. Journal of the American society for information science 41(6), 391–407 (1990)
Conner, W., Iyengar, A., Mikalsen, T., Rouvellou, I., Nahrstedt, K.: A trust management framework for service-oriented environments. In: WWW (2009)
Malik, Z., Bouguettaya, A.: Reputation bootstrapping for trust establishment among web services. IEEE Internet Computing 13(1), 40–47 (2009)
Schall, D., Truong, H.L., Dustdar, S.: Unifying human and software services in web-scale collaborations. IEEE Internet Computing 12(3), 62–68 (2008)
Chang, E., Dillon, T.S., Hussain, F.K.: Trust and reputation for service-oriented environments: technologies for building business intelligence and consumer confidence. Wiley, Chichester (2006)
Massa, P., Avesani, P.: Trust-aware collaborative filtering for recommender systems. In: CoopIS, DOA, ODBASE, pp. 492–508 (2004)
Golder, S.A., Huberman, B.A.: The structure of collaborative tagging systems. The Journal of Information Science (2006)
Heymann, P., Garcia-Molina, H.: Collaborative creation of communal hierarchical taxonomies in social tagging systems. Technical Report 2006-10, Computer Science Department (April 2006)
Eda, T., Yoshikawa, M., Yamamuro, M.: Locally expandable allocation of folksonomy tags in a directed acyclic graph. In: Bailey, J., Maier, D., Schewe, K.-D., Thalheim, B., Wang, X.S. (eds.) WISE 2008. LNCS, vol. 5175, pp. 151–162. Springer, Heidelberg (2008)
Michlmayr, E., Cayzer, S.: Learning user profiles from tagging data and leveraging them for personal(ized) information access. In: Proceedings of the Workshop on Tagging and Metadata for Social Information Organization, WWW (2007)
Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1), 5–53 (2004)
Romesburg, H.C.: Cluster Analysis for Researchers. Krieger Pub. Co. (2004)
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Skopik, F., Schall, D., Dustdar, S. (2009). Start Trusting Strangers? Bootstrapping and Prediction of Trust. In: Vossen, G., Long, D.D.E., Yu, J.X. (eds) Web Information Systems Engineering - WISE 2009. WISE 2009. Lecture Notes in Computer Science, vol 5802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04409-0_30
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DOI: https://doi.org/10.1007/978-3-642-04409-0_30
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