Abstract
To fight the problem of information overload in huge information sources like large document repositories, e. g. citeseer, or internet websites you need a selection criterion: some kind of ranking is required. Ranking methods like PageRank analyze the structure of the document reference network. However, these rankings do not distinguish different reference semantics. We enhance these rankings by incorporating information of a second layer: the author trust network to improve ranking quality and to enable personalized selections.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project (1998)
Watts, D.J.: Six Degrees: The Science of a Connected Age. W. W. Norton & Company, Inc. (2003)
Barabási, A.L.: Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life. In: PLUME (2003)
Menczer, F.: Growing and navigating the small world web by local content. In: Proceedings of the National Academy of Sciences of the United States of America, vol. 99, pp. 14014–14019 (2002)
Newman, M.E.J.: The structure and function of complex networks. SIAM Review 45, 167–256 (2003)
Pinski, G., Narin, F.: Citation influence for journal aggregates of scientific publications: Theory, with application to the literature of physics. Information Processing & Management 12, 297–312 (1976)
Brin, S., Page, L.: The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems 30, 107–117 (1998)
Malsch, T., Schlieder, C., Kiefer, P., Lübcke, M., Perschke, R., Schmitt, M., Stein, K.: Communication between process and structure: Modelling and simulating message-reference-networks with COM/TE. JASSS (accepted, 2005)
Golbeck, J., Parsia, B., Hendler, J.: Trust networks on the semantic web. In: Proceedings of Cooperative Intelligent Agents, Helsinki, Finland (2003)
Ziegler, C.N., Lausen, G.: Spreading activation models for trust propagation. In: Proceedings of the IEEE International Conference on e-Technology, e-Commerce, and e-Service, Taipei, Taiwan. IEEE Computer Society Press, Los Alamitos (2004)
Guha, R., Kumar, R., Raghavan, P., Tomkins, A.: Propagation of trust and distrust. In: WWW 2004: Proceedings of the 13th international conference on World Wide Web, pp. 403–412. ACM Press, New York (2004)
Matsuo, Y., Tomobe, H., Hasida, K., Ishizuk, M.: Finding social network for trust calculation. In: Proceedings of the 16th European Conference on Artificial Intelligence (ECAI 2004), pp. 510–514 (2004)
Guha, R.: Open rating systems. Technical report, Stanford Knowledge Systems Laboratory, Stanford, CA, USA (2003)
Montaner, M., López, B., Lluís de la Rosa, J.: Opinion-based filtering through trust. In: Klusch, M., Ossowski, S., Shehory, O. (eds.) CIA 2002. LNCS (LNAI), vol. 2446, pp. 188–196. Springer, Heidelberg (2002)
Kinateder, M., Rothermel, K.: Architecture and algorithms for a distributed reputation system. In: Nixon, P., Terzis, S. (eds.) iTrust 2003. LNCS, vol. 2692, pp. 1–16. Springer, Heidelberg (2003)
Hess, C., Stein, K., Schlieder, C.: Trust-enhanced visibility for personalized document recommendations. In: Proceedings of the 21st Annual ACM Symposium on Applied Computing (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Stein, K., Hess, C. (2006). Information Retrieval in Trust-Enhanced Document Networks. In: Ackermann, M., et al. Semantics, Web and Mining. EWMF KDO 2005 2005. Lecture Notes in Computer Science(), vol 4289. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908678_5
Download citation
DOI: https://doi.org/10.1007/11908678_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47697-9
Online ISBN: 978-3-540-47698-6
eBook Packages: Computer ScienceComputer Science (R0)