RWR-Based Resources Recommendation on Weighted and Clustered Folksonomy Graph

@article{Kang2014RWRBasedRR,
  title={RWR-Based Resources Recommendation on Weighted and Clustered Folksonomy Graph},
  author={Zongzhan Kang and Yijian Pei and Hao Wu},
  journal={2014 IEEE 11th International Conference on e-Business Engineering},
  year={2014},
  pages={120-125}
}
Random Walk with Restarts has been proved as an effective model for collaborative recommendation in social systems, with ability to mitigate the problem of data sparsity. However, the present framework of RWR performs on un-weighted folksonomy graph, thus neglects some useful and implicit information inside the folksonomy, such as the preference of users to resources or tags, the awareness difference of users to resources of the same tag. Inspired by this, this paper presents a resources… CONTINUE READING

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