Mining context specific inter-personalised trust for recommendation generation in preference networks

This paper introduces a community-based approach to facilitate the generation of high-quality recommendations by leveraging the preferences of communities of similar users in preference networks. The proposed approach combines the idea of traditional recommendation systems and identification of network structures to explore context specific inter-personalised trust relationships among users. From the experimental results, we claim that the proposed approach can provide more accurate recommendations to individuals in a preference network.