There is an increasing evidence that data visualization is an important and useful tool for quick understanding and filtering of large amounts of data. In this paper, we contribute to this body of work with a study that compares chord and ranked list for presentation of a temporal TV program genre similarity in next-program recommendations. We consider genre similarity based on the similarity of temporal viewing patterns. We discover that chord presentation allows users to see the whole picture and improves their ability to choose items beyond the ranked list of top similar items. We believe that similarity visualization may be useful for the provision of both the recommendations and their explanations to the end users.
|Title of host publication||Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2020|
|Editors||Genny Tortora, Giuliana Vitiello, Marco Winckler|
|Publisher||Association for Computing Machinery|
|State||Published - 28 Sep 2020|
|Event||2020 International Conference on Advanced Visual Interfaces, AVI 2020 - Salerno, Italy|
Duration: 28 Sep 2020 → 2 Oct 2020
|Name||ACM International Conference Proceeding Series|
|Conference||2020 International Conference on Advanced Visual Interfaces, AVI 2020|
|Period||28/09/20 → 2/10/20|
Bibliographical noteFunding Information:
The study was partially supported by the Israeli Science Foundation ISF 226/17 grant and by the CyCAT, which has received funding from the European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement No. 810105.
© 2020 ACM.
- recommender system
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition