Knowing the unknown: visualising consumption blind-spots in recommender systems

@article{Tintarev2018KnowingTU,
  title={Knowing the unknown: visualising consumption blind-spots in recommender systems},
  author={N. Tintarev and S. Rostami and Barry Smyth},
  journal={Proceedings of the 33rd Annual ACM Symposium on Applied Computing},
  year={2018}
}
  • N. Tintarev, S. Rostami, Barry Smyth
  • Published 2018
  • Computer Science
  • Proceedings of the 33rd Annual ACM Symposium on Applied Computing
  • In this paper we consider how to help users to better understand their consumption profiles by examining two approaches to visualising user profiles - chord diagrams, and bar charts - aimed at revealing to users those regions of the recommendation space that are unknown to them, i.e. blind-spots. Both visualisations do this by connecting profile preferences with a filtered recommendation space. We compare and contrast the two visualisations in a live user study (n = 70). The results suggest… CONTINUE READING
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