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Erschienen in:
2014 | OriginalPaper | Buchkapitel
An Integrated Recommendation Approach Based on Influence and Trust in Social Networks
verfasst von : Weimin Li, Zhengbo Ye, Qun Jin
Erschienen in: Future Information Technology
Verlag: Springer Berlin Heidelberg
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In real human society, influence on each other is an important factor in a variety of social activities. It is obviously important for recommendation. However, the influence factor is rarely taken into account in traditional recommendation algorithms. In this study, we propose an integrated approach for recommendation by analyzing and mining social data and introducing a set of new measures for user influence and social trust. Our experimental results show that our proposed approach outperforms traditional recommendation in terms of accuracy and stability.