Abstract
A key-issue for the effectiveness of collaborative decision support systems is the problem of the trustworthiness of the entities involved in the process. Trust has been always used by humans as a form of collective intelligence to support effective decision making process. Computational trust models are becoming now a popular technique across many applications such as cloud computing, p2p networks, wikis, e-commerce sites, social network. The chapter provides an overview of the current landscape of computational models of trust and reputation, and it presents an experimental study case in the domain of social search, where we show how trust techniques can be applied to enhance the quality of social search engine predictions.
This is a preview of subscription content, log in via an institution to check access.
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
Agichtein, E., Brill, E., Dumais, S.: Improving Web Search Ranking by Incorporating User Behavior Information. In: SIGIR 2006, Seattle, USA (2006)
Agichtein, E., Zheng, Z.: Identifying Best Bet Web Search Results by Mining Past User Behavior. In: KDD 2006, Philadelphia, Pennsylvaia, USA (2006)
Atterer, R., et al.: Knowing the User’s Every Move - User Activity Tracking for Website Usability Evaluation and Implicit Interaction. In: WWW 2006, Edinburgh (May 23-26, 2006)
Buskens, V.: The Social Structure of Trust. Social Networks (20), 265–298 (1998)
Ball, E., Chadwick, D., Basden, A.: The Implementation of a System for evaluating Trust in a Pki Environment. In: Proceedings of Trust in the Network Economy, Evolaris (2003)
Celentani, M., Fudenberg, D., Levine, D.K., Psendorfer, W.: Maitaining a Reputation Against a Long-Lived Opponent. Econometria 64(3), 691–704 (1966)
Chi, E.H.: Information Seeking Can Be Social. Computer 42(3), 42–46 (2009)
Castelfranchi, C., Falcone, R.: Trust is much more than Web Probability. In: 32nd Hawaii Int. Conference (2000)
Cahill, V., et al.: Using Trust for Secure Collaboration in Uncertain Environments. IEEE Pervasive Computing Magazine 2(3), Special Issue (July-September 2003)
Dondio, P., Barrett, S., Weber, S., Seigneur, J.M.: Extracting Trust from Domain Analysis: a Study on Wikipedia. In: IEEE ATC, Wuhan, China (2006)
Dondio, P.: Trust as a Form of Defeasible Reasoning. Phd Thesis, Trinity College Dublin
Ford, N., et al.: Web Search Strategies and Human Individual Differences: Cognitive and Demographic Factors, Internet Attitudes, and Approaches. Journal of Am. Soc. Inf. Sci. Technol. 56, 7 (2005)
Gambetta, D.: Can we trust trust? . In: Trust: Making and Breaking Cooperative Relations, pp. 213–237 (2000)
Golder, S.A., Huberman, B.A.: Usage Patterns of Collaborative Tagging Systems. Journal of Information Science 32(2), 198–208 (2006)
Golbeck, J.: Trust Networks on the Semantic Web. University of Maryland, USA (2002)
Hume, D.: A Treatise of Human Nature. Clarendon Press, Oxford (1737) (1975)
Hlscher, C., Strube, G.: Web Search Behavior of Internet Experts and Newbies (2000)
Josang, A., Pope, S.: Semantic Constraints for Trust Transitivity. In: 2nd Conference on Conceptual Modelling (2005)
Joachims, T.: Optimizing Search Engines Using Clickthrough Data. In: The Proceedings of SIGKDD (2002)
Karlins, M., Abelson, H.I.: Persuasion, how Opinion and Attitudes are Changed. Crosby Lockwood & Son (1970)
Kelly, D., et al.: Reading Time, Scrolling and Interaction: Exploring Implicit Sources of User Preferences for Relevance Feedback During Interactive Information Retrieval. In: SIGIR 2001, New Orleans, USA (2001)
Abdi, H.: Kendall Rank Correlation. In: Salkind, N.J. (ed.) Encyclopaedia of Measurement and Statistics. Sage, Thousand Oaks (2007)
Kitajima, M., Blackmon, M.H., Polson, P.G.: Cognitive Architecture for Website Design and Usability evaluation: Comprehension and Information Scent in Performing by Exploration. HCI, Las Vegas (2005)
Kleinberg, J.: Authoritative Sources in a Hyperlinked Environment. Journal of the ACM 46(5), 604–632 (1999)
Longo, L., Barrett, S., Dondio, P.: Toward Social Search: from Explicit to Implicit Collaboration to Predict Users’ Interests. In: WebIST 2009 (2009)
Longo, L., Dondio, P., Barrett, S.: Temporal Factors to Evaluate Trustworthiness of Virtual Identities. In: IEEE SECOVAL 2007, Third International Workshop on the Value of Security through Collaboration, SECURECOMM 2007, Nice, France (September 2007)
Longo, L., Barrett, S.: Cognitive Effort for Multi-Agent Systems. In: Yao, Y., Sun, R., Poggio, T., Liu, J., Zhong, N., Huang, J. (eds.) BI 2010. LNCS, vol. 6334, pp. 55–66. Springer, Heidelberg (2010)
Longo, L., Dondio, P., Barrett, S.: Information Foraging Theory as a Form Of Collective Intelligence for Social Search. In: 1st International Conference on Computational Collective Intelligence Semantic Web, Social Networks & Multiagent Systems, Wroclaw, Poland, (October 5-7, 2009)
Luhmann, N.: Familiarity, Confidence, Trust: Problems and Alternatives. In: Trust: Making and Breaking Cooperative Relations, pp. 213–237 (2000)
Marsh, S.: Formalizing Trust as Computational Concept. PhD, Stirling (1994)
Miller, C.S., Remington, R.W.: Modeling Information Navigation: implications for Information Architecture. In: HCI (2004)
Montaner, M., Lopez, B., De La Rosa, J.: Developing Trust in Recommender Agents. In: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2002), Bologna, Italy, pp. 304–305 (2002)
Morita, M., Shinoda, Y.: Information Filtering Based on User Behavior analysis and Best Match Text Retrieval. In: 17th ACM SIGIR (1996)
Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank Citation Ranking: Bringing Order to the Web. Standford University, Standford (1999)
Pirolli, P.: Information Foraging Theory. Adaptive Interaction with Information. Oxford University Press, Oxford (2007)
Pirolli, P., Fu, W.: SNIF-ACT: A Model of Information Foraging on the World Wide Web. In: Brusilovsky, P., Corbett, A.T., de Rosis, F. (eds.) UM 2003. LNCS, vol. 2702. Springer, Heidelberg (2003)
Quercia, D.: STRUDEL: Supporting Trust in the Establishment of Peering Coalitions. In: ACM SAC 2006, pp. 1870–1874 (2006)
Robu, V., Halpin, H., Shepherd, H.: Emergence of Consensus and Shared Vocabularies in Collaborative Tagging Systems. ACM Transactions on the Web (TWeb)Â 3(4), article 14 (September 2009)
Stephens, D.W., Krebs, J.R.: Foraging Theory, Princeton, NJ (1986)
Sabater, J., Sierra, C.: REGRET: A reputation Model for Gregarious Societies. In: 4th Workshop on Fraud and Trust in Agent Societies, Montreal, Canada, pp. 61–69 (2001)
Velayathan, G., Yamada, S.: Behavior-based Web Page Evaluation. In: WWW 2007, Banff, Alberta, Canada, May 8-12 (2007)
Viégas, B.F., Wattenberg, M., Kushal, D.: Studying Cooperation and Conflict between Authors with History from Visualizations, MIT Media Lab. and IBM Research
Weiss, A.: The Power of Collective Intelligence. Collective Intelligence, 19–23 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Dondio, P., Longo, L. (2011). Trust-Based Techniques for Collective Intelligence in Social Search Systems. In: Bessis, N., Xhafa, F. (eds) Next Generation Data Technologies for Collective Computational Intelligence. Studies in Computational Intelligence, vol 352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20344-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-20344-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20343-5
Online ISBN: 978-3-642-20344-2
eBook Packages: EngineeringEngineering (R0)