New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information

Eliezer de Souza da Silva. New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information. In Maarten de Rijke, Milad Shokouhi, Andrew Tomkins, Min Zhang 0006, editors, Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017. pages 839, ACM, 2017. [doi]

@inproceedings{Silva17-1,
  title = {New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information},
  author = {Eliezer de Souza da Silva},
  year = {2017},
  url = {http://dl.acm.org/citation.cfm?id=3022751},
  researchr = {https://researchr.org/publication/Silva17-1},
  cites = {0},
  citedby = {0},
  pages = {839},
  booktitle = {Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017},
  editor = {Maarten de Rijke and Milad Shokouhi and Andrew Tomkins and Min Zhang 0006},
  publisher = {ACM},
  isbn = {978-1-4503-4675-7},
}