Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis

Author:

de Leon-Martinez Santiago1ORCID,Moro Robert2ORCID,Bielikova Maria2ORCID

Affiliation:

1. Faculty of Information Technology, Brno University of Technology, Czech Republic and Kempelen Institute of Intelligent Technologies, Slovakia

2. Kempelen Institute of Intelligent Technologies, Slovakia

Funder

HORIZON EUROPE Marie Sklodowska-Curie Actions

Publisher

ACM

Reference16 articles.

1. Eye-tracking product recommenders' usage

2. Li Chen , Wanling Cai , Dongning Yan , and Shlomo Berkovsky . 2023. Eye-tracking-based personality prediction with recommendation interfaces. User Modeling and User-Adapted Interaction 33 (March 2023 ), 121–157. https://doi.org/10.1007/s11257-022-09336-9 10.1007/s11257-022-09336-9 Li Chen, Wanling Cai, Dongning Yan, and Shlomo Berkovsky. 2023. Eye-tracking-based personality prediction with recommendation interfaces. User Modeling and User-Adapted Interaction 33 (March 2023), 121–157. https://doi.org/10.1007/s11257-022-09336-9

3. An experimental comparison of click position-bias models

4. A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

5. Peter Gaspar , Michal Kompan , Jakub Simko , and Maria Bielikova . 2018 . Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study . In Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2018). CEUR-WS, Vancouver, Canada, 5. http://ceur-ws.org/Vol-2225/paper5.pdf Peter Gaspar, Michal Kompan, Jakub Simko, and Maria Bielikova. 2018. Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study. In Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2018). CEUR-WS, Vancouver, Canada, 5. http://ceur-ws.org/Vol-2225/paper5.pdf

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