• Corpus ID: 118721868

An Evaluation Framework for Interactive Recommender System

@article{Alkan2019AnEF,
  title={An Evaluation Framework for Interactive Recommender System},
  author={Oznur Kirmemis Alkan and Elizabeth M. Daly and Adi Botea},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.07765}
}
Traditional recommender systems present a relatively static list of recommendations to a user where the feedback is typically limited to an accept/reject or a rating model. However, these simple modes of feedback may only provide limited insights as to why a user likes or dislikes an item and what aspects of the item the user has considered. Interactive recommender systems present an opportunity to engage the user in the process by allowing them to interact with the recommendations, provide… 

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References

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