• DOI:10.1145/3167132.3167419
Corpus ID: 49564184

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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