Abstract
Recommendation in social networks is a new area of research that is still in its early beginnings. In this framework, every user can act as an individual recommender for its neighbours in the network. However, social networks are highly dynamic environments where the structure of the network and the information spread across it evolve quickly over time. In these settings, a suitable recommender must be able to manage continuous changes and to provide users with up-to-date and customised recommendations. With this aim, the theory of dialogue games has been applied to manage recommendation dialogues in social networks in this research. As a result, a dialogue game for controlling the interaction between an agent asking for recommendations to other personal agents that are its neighbours in the network has been designed. In addition, a complex decision-making policy based on this game has been developed and tested in a simulation scenario. The results are shown and discussed in this paper.
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.
Similar content being viewed by others
References
Bentahar, J., Meyer, J.J.C., Moulin, B.: Securing Agent-Oriented Systems: An Argumentation and Reputation-based Approach. In: International Conference on Information Technology, ITNG 2007, pp. 507–515 (2007)
Conte, R., Paolucci, M., Sabater-Mir, J.: Reputation for Innovating Social Networks. In: 4th European Social Simulation Association Conference, ESSA 2007 (2007)
Hamblin, C.L.: Fallacies. Methuen, London (1970)
Telecom Italia Lab: JADE (Java Agent DEvelopment Framework), version 3.6 (2008), http://jade.tilab.com/
McBurney, P., Parsons, S.: Dialogue Games in Multi-Agent Systems. Informal Logic. Special Issue on Applications of Argumentation in Computer Science 22(3), 257–274 (2002)
McBurney, P., Parsons, S.: Games that Agents Play: A Formal Framework for dialogues between Autonomous Agents. Journal of Logic, Language and Information 12(2), 315–334 (2002)
Montaner, M., López, B., de la Rosa, J.L.: A Taxonomy of Recommender Agents on the Internet. Artificial Intelligence Review, 285–330 (2003)
O’Donovan, J., Smyth, B.: Trust in recommender systems. In: 10th International Conference on Intelligent User Interfaces, pp. 167–174 (2005)
Reed, C., Walton, D.: Argumentation Schemes in Dialogue. In: Dissensus and the Search for Common Ground, OSSA 2007, CD-ROM, pp. 1–11 (2007)
Walter, F.E., Battiston, S., Schweitzer, F.: A Model of a Trust-based Recommendation System on a Social Network. Journal of Autonomous Agents and Multi-Agent Systems, JAAMAS 16(1), 57–74 (2008)
Walton, D.: Appeal to Expert Opinion. Penn State Press (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Heras, S., Navarro, M., Botti, V., Julián, V. (2010). Applying Dialogue Games to Manage Recommendation in Social Networks. In: McBurney, P., Rahwan, I., Parsons, S., Maudet, N. (eds) Argumentation in Multi-Agent Systems. ArgMAS 2009. Lecture Notes in Computer Science(), vol 6057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12805-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-12805-9_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12804-2
Online ISBN: 978-3-642-12805-9
eBook Packages: Computer ScienceComputer Science (R0)