Title :
Arguing about Recommendations in Social Networks
Author :
Heras, Stella ; Rebollo, Miguel ; Julian, V.
Author_Institution :
Inf. Syst. & Comput. Dept., Univ. Politec. de Valencia, Valencia
Abstract :
In social networks every user could act as an individual recommender for its neighbours. However, the information spread across the network change quickly over time. There is a need for a recommendation mechanism able to manage this dynamicity and to provide users with up-to-date and suitable recommendations. This paper proposes a well-known concept of argumentation theory, dialogue games, as a mechanism to manage collaborative recommendation in social networks. Dialogue games allow agents to argue about several available recommendations and thus, to get better results from the recommendation process.
Keywords :
information filters; social networking (online); argumentation theory; dialogue games; recommendation mechanism; social networks; Computer networks; Databases; Equations; Feedback; Game theory; Intelligent agent; Intelligent networks; Management information systems; Protocols; Social network services; Argumentation; Multi-agent systems; Recommender systems;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
DOI :
10.1109/WIIAT.2008.342