A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems

@inproceedings{Guo2012ASB,
  title={A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems},
  author={Guibing Guo and Jie Zhang and Daniel Thalmann},
  booktitle={UMAP},
  year={2012}
}
Providing high quality recommendations is important for online systems to assist users who face a vast number of choices in making effective selection decisions. Collaborative filtering is a widely accepted technique to provide recommendations based on ratings of similar users. But it suffers from several issues like data sparsity and cold start. To address these issues, in this paper, we propose a simple but effective method, namely "Merge", to incorporate social trust information (i.e… CONTINUE READING

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A simple but effective method to incorporate trusted neighbors in recommender systems

G. Guo, J. Zhang, D. Thalmann
  • Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP).
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  • 2010 43rd Hawaii International Conference on System Sciences
  • 2010
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