Social Recommendations within the Multimedia Sharing Systems

Authors:
Katarzyna Musiał;Przemysław Kazienko;Tomasz Kajdanowicz
Affiliations:
Wrocław University of Technology, Wrocław, Poland 50-370;Wrocław University of Technology, Wrocław, Poland 50-370;Hewlett Packard Polska Sp. z o.o., Warszawa, Poland 02-678
Venue:
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Year:
2008

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Abstract

The social recommender system that supports the creation of new relations between users in the multimedia sharing system is presented in the paper. To generate suggestions the new concept of the multirelational social network was introduced. It covers both direct as well as object-based relationships that reflect social and semantic links between users. The main goal of the new method is to create the personalized suggestions that are continuously adapted to users' needs depending on the personal weights assigned to each layer from the social network. The conducted experiments confirmed the usefulness of the proposed model.