Probabilistic dyadic data analysis with local and global consistency

@inproceedings{Cai2009ProbabilisticDD,
  title={Probabilistic dyadic data analysis with local and global consistency},
  author={Deng Cai and Xuanhui Wang and Xiaofei He},
  booktitle={ICML},
  year={2009}
}
Dyadic data arises in many real world applications such as social network analysis and information retrieval. In order to discover the underlying or hidden structure in the dyadic data, many topic modeling techniques were proposed. The typical algorithms include Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet Allocation (LDA). The… CONTINUE READING

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