A Deep Embedding Model for Co-occurrence Learning

@article{Shen2015ADE,
  title={A Deep Embedding Model for Co-occurrence Learning},
  author={Y. Shen and R. Jin and J. Chen and X. He and Jianfeng Gao and Li Deng},
  journal={2015 IEEE International Conference on Data Mining Workshop (ICDMW)},
  year={2015},
  pages={631-638}
}
  • Y. Shen, R. Jin, +3 authors Li Deng
  • Published 2015
  • Computer Science, Mathematics
  • 2015 IEEE International Conference on Data Mining Workshop (ICDMW)
Co-occurrence Data is a common and important information source in many areas, such as the word co-occurrence in the sentences, friends co-occurrence in social networks and products co-occurrence in commercial transaction data, etc, which contains rich correlation and clustering information about the items. In this paper, we study co-occurrence data using a general energy-based probabilistic model, and we analyze three different categories of energy-based model, namely, the L1, L2 and Lk models… Expand
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