Modeling User Exposure in Recommendation

@article{Liang2016ModelingUE,
  title={Modeling User Exposure in Recommendation},
  author={Dawen Liang and Laurent Charlin and James McInerney and David M. Blei},
  journal={Proceedings of the 25th International Conference on World Wide Web},
  year={2016}
}
Collaborative filtering analyzes user preferences for items (e.g., books, movies, restaurants, academic papers) by exploiting the similarity patterns across users. [] Key Method The exposure is modeled as a latent variable and the model infers its value from data.

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