Abstract
Social networks and recommender systems that advise items between their members have spread across the Internet. These recommenders must take into account the distributed and dynamic nature of the knowledge shared in social networks. Opinions and preferences can change and thus, allowing agents to argue about recommendations could improve their quality. This paper proposes the use of dialogue games as mechanism for modelling the dialogue between users that share their recommendations in a social network. The paper specifies the interaction protocol, defines some metrics to evaluate recommendations and finally, offers a brief discussion about decision policies.
This work was partially supported by CONSOLIDER-INGENIO 2010 under grant CSD2007-00022 and by the Spanish government and FEDER funds under TIN2005-03395 and TIN2006-14630-C0301 projects.
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Heras, S., Rebollo, M., Julián, V. (2008). A Dialogue Game Protocol for Recommendation in Social Networks. In: Corchado, E., Abraham, A., Pedrycz, W. (eds) Hybrid Artificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science(), vol 5271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87656-4_64
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DOI: https://doi.org/10.1007/978-3-540-87656-4_64
Publisher Name: Springer, Berlin, Heidelberg
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