Abstract
Modeling interest of a user for services recommendation and friendship between users is the major activity of social networks. The information used by social networks such as user profiles is unfortunately easy to be faked and misled by the users, which often results in poor service recommendation and friendship prediction. In this paper, we propose a propagation model that integrates the emerging Web of Things (resource/services networks) and social networks together so that better service recommendation and friendship prediction can be achieved by considering interactions between people and things.
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Keywords
- Social Network
- Recommendation System
- Preferential Attachment
- Latent Variable Model
- Service Recommendation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Yao, L. (2012). A Propagation Model for Integrating Web of Things and Social Networks. In: Pallis, G., et al. Service-Oriented Computing - ICSOC 2011 Workshops. ICSOC 2011. Lecture Notes in Computer Science, vol 7221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31875-7_28
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DOI: https://doi.org/10.1007/978-3-642-31875-7_28
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