Probabilistic author-topic models for information discovery

Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas L. Griffiths. Probabilistic author-topic models for information discovery. In Won Kim, Ron Kohavi, Johannes Gehrke, William DuMouchel, editors, Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004. pages 306-315, ACM, 2004. [doi]

@inproceedings{SteyversSRG04,
  title = {Probabilistic author-topic models for information discovery},
  author = {Mark Steyvers and Padhraic Smyth and Michal Rosen-Zvi and Thomas L. Griffiths},
  year = {2004},
  doi = {10.1145/1014052.1014087},
  url = {http://doi.acm.org/10.1145/1014052.1014087},
  tags = {discovery, information models},
  researchr = {https://researchr.org/publication/SteyversSRG04},
  cites = {0},
  citedby = {0},
  pages = {306-315},
  booktitle = {Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004},
  editor = {Won Kim and Ron Kohavi and Johannes Gehrke and William DuMouchel},
  publisher = {ACM},
  isbn = {1-58113-888-1},
}